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ORCID22nd ISBI 2025: Houston, TX, USA
- 22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025, Houston, TX, USA, April 14-17, 2025. IEEE 2025, ISBN 979-8-3315-2052-6
- Hongyi Pan, Ziliang Hong, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Yavuz Taktak, Alpay Medetalibeyoglu, Zheyuan Zhang, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ziyue Xu, Ulas Bagci:
IPMN Risk Assessment Under Federated Learning Paradigm. 1-5 - Nejung Rue, Inye Na, Ho Yun Lee, Hyunjin Park
:
Misalignment-Aware MRI-to-CT Synthesis for Lung Segmentation on MRI. 1-5 - Gonçalo Galante, Margarida Silveira:
Beyond the Last Scan: The Role of Longitudinal Neuroimaging in Predicting Conversion to Alzheimer's Disease at Different Stages. 1-5 - Huina Wang, Lan Wei, Bo Liu, Jianqiang Li, Juan Fang, Catherine Mooney:
Enhancing Cervical Cancer Screening with a Resnet-Based Approach and Interpretability Techniques. 1-4 - Skylar Chan, Tejas Sudharshan Mathai, Sydney V. Lewis, Anisa V. Prasad, Jianfei Liu, Meghan G. Lubner, Perry J. Pickhardt, Ronald M. Summers:
Utility of Hepatic Perivascular Adipose Tissue as a CT Biomarker for Staging Liver Fibrosis. 1-5 - Ilaria Ricchi, William Cappelletti, Ekansh Sareen, Pascal Frossard, Dimitri Van De Ville:
Revealing Brain and Spinal Cord Functional Networks by Block-Structured Graph Laplacian Mixture Models. 1-5 - Yosuke Yamagishi, Shouhei Hanaoka:
Benchmarking Image Models Including CNNs, Transformers, and Hybrid Architectures for Cervical Cell Classification. 1-5 - Hossam Magdy Balaha, Ahmed Aboudessouki, Ali Mahmoud, Mohammed Ghazal, Ayman El-Baz:
A Dual-Track Framework for Enhancing Age-Related Macular Degeneration Diagnosis Through Embedding and Vision Classification. 1-4 - Hongkun Yu, Syed Jamal Safdar Gardezi, Paige Zuber, Andrew L. Wentland:
SwinDiff_ConSeg: Automatic Segmentation of Ureters in Consecutive CT Urography Based on Swin Transformer and Diffusion Model. 1-4 - Sitong Liu, Kechun Liu, Samuel Margolis, Wenjun Wu, Stevan R. Knezevich, David E. Elder, Megan M. Eguchi, Joann G. Elmore, Linda G. Shapiro:
Generating Seamless Virtual Immunohistochemical Whole Slide Images with Content and Color Consistency. 1-5 - Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, George Bebis, Salah A. Baker:
SwinVFTR: A Novel Volumetric Feature-Learning Transformer for 3D OCT Fluid Segmentation. 1-5 - Jose Angel Nuñez, Fabian Vazquez, Diego Adame, Xiaoyan Fu, Pengfei Gu, Bin Fu:
White Light Specular Reflection Data Augmentation for Deep Learning Polyp Detection. 1-5 - Nusrat Munia, Abdullah-Al-Zubaer Imran:
Prompting Medical Vision-Language Models to Mitigate Diagnosis Bias by Generating Realistic Dermoscopic Images. 1-4 - Olivier Jaubert, Salman Mohammadi, Keith A. Goatman, Shadia Mikhael, Conor Bradley, Rebecca Hughes, Richard Good, John H. Hipwell, Sonia Dahdouh:
Conformal Coronary Calcification Volume Estimation with Conditional Coverage via Histogram Clustering. 1-5 - Zehao Weng, Zhong Xue, Haoran Sun, Dongdong Gu:
A Serial Image Segmentation and Registration Network (SISRN) for Dynamic Enhanced Magnetic Resonance Image Sequences. 1-5 - Matthieu Chancel, Hacheme Ayasso, Michel Desvignes, Jean-Michel Vignolle, Eric Lespessailles:
Line Artifact Removal Over Medical X-Ray Images via Joint Dictionaries Sparse Decomposition with Structured Incoherence. 1-5 - Xirang Zhang, Yongyi Yang, Jovan G. Brankov, P. Hendrik Pretorius, Michael A. King:
Training Strategies for Increased Temporal Resolution in Clinical Cardiac-gated SPECT Studies with Deep Learning Denoising. 1-4 - Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan:
ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction. 1-5 - Ting Zhao, Zhuoxu Cui, Congcong Liu, Xingyang Wu, Yihang Zhou, Dong Liang, Haifeng Wang:
K-Space Diffusion Model Based Mr Reconstruction Method for Simultaneous Multislice Imaging. 1-4 - Daniel Gilo, Tzofi Klinghoffer, Or Litany:
EPI-NAF: Enhancing Neural Attenuation Fields for Limited-Angle CT with Epipolar Consistency Conditions. 1-5 - Tanmay Mukherjee, Emilio A. Mendiola, Elizabeth Fugate, Diana Lindquist, Kyle J. Myers, Sakthivel Sadayappan, Reza Avazmohammadi:
Augmented Long-Axis Acquisition in Cardiac Magnetic Resonance Imaging Improves Cardiac Strain Accuracy. 1-5 - Masoud Seraji, Soroush Mirjalili, Audrey Duarte, Vince D. Calhoun:
Investigating the Impact of Habitual Sleep Quality on Episodic Memory Performance: An Eeg-Based Representational Similarity Analysis. 1-5 - Yinqi Cai, De-Jun Fan, Feng Gao, Mingzhi Mao, Weijun Sun, Guanbin Li:
BoxPolypSAM: Leveraging SAM in Box-Supervised Polyp Segmentation. 1-5 - Claudia Boily, Jean-Paul Mazellier, Philippe Meyer:
How to Evaluate Generated skVCT from MVCT? Optimal Parameters and Clinical Validation. 1-5 - Lukas Wimmert, Tobias Gauer, J. Dickmann, C. Hofmann, Thilo Sentker, René Werner:
Dose Reduction in Step-and-Shoot 4D CT Imaging via Breathing Signal-Guided Deep Learning-Driven Selective Data Acquisition: A Feasibility Study. 1-5 - Vatsala Sharma, Ashwin Goyal, Suyash P. Awate:
On the Role of Adversarial Perturbations in Unsupervised Deep Learning for Enhancing Image Quality of Degraded Medical-Images. 1-5 - Sourya Sengupta, Satrajit Chakrabarty, Keerthi Sravan Ravi, Gopal Avinash, Ravi Soni:
SynthFM: Training Modality-Agnostic Foundation Models for Medical Image Segmentation Without Real Medical Data. 1-4 - Jocelyn Ornelas Munoz, Gbocho M. Terasaki, Aditya Ranganath, Omar DeGuchy, Roummel F. Marcia:
Signal Reconstructions for ECG-Transmembrane Voltage Potentials Using Transformers. 1-5 - Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy:
Inference Time Adaptation for Improved Retinal Disease Diagnosis Using Optical Coherence Tomography Images. 1-5 - Jiahao Yu, Tenglong Wang, Yifei He, Yiang Pan, Jianzhong He, Ye Wu:
Unsupervised Normative Learning for Quality Assessment on Diffusion MRI. 1-4 - Midhila Madhusoodanan, A. N. Madhavanunni, Deep Bera, Veerendra K. Shetty, Bala Subrahmanyam Varanasi, Mahesh Raveendranatha Panicker:
TGC-Net: A Deep Learning Model for Automatic Time Gain Compensation for Ultrasound Imaging. 1-4 - Najme Soleimani, Vince D. Calhoun:
Dynamic Convergence of Multiple Overlapping Brain States as a Biomarker for Mental Disorders. 1-4 - Ananya Subramaniam, Ammar Hoori, Tao Hu, Hao Wu, Arthure Olivia Tchilibou Wane, Neda Shafiabadi Hassani, Sanjay Rajagopalan, David L. Wilson:
Deep Learning-Driven Automated Aortic Valve Calcification Assessment in CT Calcium Score Screening Images. 1-5 - Alistair Curd, Hayley Slaney, Scarlet F. Brockmöller, Andras-Gabor Miklosi, Deep Arora, Andrew Lewington, James H. Felce, Omar S. M. El Nahhas, Marko van Treeck, Jakob Nikolas Kather, Phil Quirke:
Diagnosis with Nanoscale Protein Distributions: Single-Molecule Fluorescence Localization Microscopy and Attention-Based Learning. 1-5 - Tianyi Liu, Jiongshu Wang, Haochuan Jiang, Kaizhu Huang:
Leveraging Graph Neural Networks in Transferring Multimodal Knowledge for Unimodal Segmentation. 1-4 - Andrew Brown, Victoria Porter, Alexander Baine, Richard Gault:
Train for Stain: Adapting for Diverse H&E Staining Profiles Across Centers in Classification of Mitotic Figures (Glioma-MDC 2025). 1-4 - Alice Ku, Matthew Tivnan, Dufan Wu:
Hallucination Analysis of Score-Based Diffusion Models for CT Denoising Through Spatial Frequency Decomposition. 1-5 - Gege Cai, Zhenghua Guan, Xiangwen Cai, Nina Cheng, Wenzheng Hu, Tengda Zhang, Yi Liu, Baiying Lei:
3D Multi-Modal Feature Interaction Fusion Network for Early Alzheimer's Disease Diagnosis. 1-4 - Fan Yang, S. Kevin Zhou:
EDA: Enhanced Domain-Adversarial Training for Anatomical Landmark Detection. 1-5 - Nisarg A. Shah, Chaminda Bandara, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
CSMAE : Cataract Surgical Masked Autoencoder (MAE) Based Pre-Training. 1-5 - Mahrokh Najaf, Gregory Ongie:
ACcelerated Optimization of Implicit Neural Representations for CT Reconstruction. 1-5 - Jinlong He, Pengfei Li, Gang Liu, Shenjun Zhong:
Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding. 1-5 - Keyi Han, Anqi Xiao, Jie Tian, Zhenhua Hu:
MamUNet: Mamba Enhances Vessel Segmentation in NIR-II Fluorescence Imaging. 1-4 - Weiqian Sun, Jianying Liu, Jie Xu, Pengfei Liu, Xiangfei Chai:
Prompt-Guided Radiology Report Generation Utilizing SAM. 1-5 - Juntao Chen, Li Lin, Jiaming Qiu, Huiyu Liang, Terry Tao Ye, Haoyu Chen, Xiaoying Tang:
Test-Time Fluorescein Angiography-Free Non-Perfusion Area Segmentation from Fundus Image. 1-5 - Meng Xu, Yingfeng Wang, Kuan Huang:
Anatosegnet: Anatomy Based CNN-Transformer Network for Enhanced Breast Ultrasound Image Segmentation. 1-5 - Mahmud Wasif Nafee, Asfina Hassan Juicy:
Enhanced Mitotic Figure Detection in Glioma Using Super-Resolution Images and High-Frequency Content Maps. 1-5 - Santosh Dudhabhate, Nilanjan Chattopadhyay, Akash Parekh, Nitin Singhal:
Multi-Modal Integration for Predicting Biochemical Recurrence in Prostate Cancer. 1-4 - Tianyuan Li, Weilin Huang, Ranhao Zhang, Xueming Li, Yuan Shen:
An Enhanced EM Framework for Scanning Position Refinement in Ptychography via MCMC Sampling and Posterior Approximation. 1-4 - Joshua Hanson, Kenneth Hoyt:
Tissue Characterization and Attenuation Mapping Using Multifrequency Ultrasound Imaging. 1-4 - Adailton Dos Santos Holanda, Róger Moura Sarmento, Pedro Pedrosa Reboças Filho:
Segmentation of Hemorrhagic Stroke Using Graph Convolutional Network. 1-4 - Zhiling Yue, Yingying Fang, Liutao Yang, Nikhil Baid, Simon Walsh, Guang Yang:
Enhancing Weakly Supervised Semantic Segmentation for Fibrosis via Controllable Image Generation. 1-5 - Paolo Angella, Vito Paolo Pastore, Matteo Santacesaria:
Assessing the Use of Diffusion Models for Motion Artifact Correction in Brain MRI. 1-4 - Kaifeng Pang, Qi Miao, Alex Ling Yu Hung, Kai Zhao, Eunsun Oh, Raymi Ramirez, Wayne Brisbane, Kyunghyun Sung:
MPR-Diff: A Self-Supervised Diffusion Model for Multi-Planar Reformation in Prostate Micro-Ultrasound Imaging. 1-5 - Kazuya Nishimura, Ryoma Bise, Yasuhiro Kojima:
Towards Spatial Transcriptomics-Guided Pathological Image Recognition with Batch-Agnostic Encoder. 1-5 - Hossam Magdy Balaha, Ahmed Alksas, Amine Fattal, Toru Deguchi, Ayman El-Baz:
Enhanced Cervical Vertebral Maturation Assessment Using AI-Based Imaging Analysis System. 1-4 - Louise Piecuch, Jeremie Huet, Antoine Frouin, Antoine Nordez, Anne-Sophie Boureau, Diana Mateus:
Unsupervised Anomaly Detection on Implicit Shape Representations for Sarcopenia Detection. 1-5 - Cheng Yuan, Yutong Ban:
Surgical Scene Segmentation by Transformer with Asymmetric Feature Enhancement. 1-5 - Ashish Beary, Likun Xia, Yading Yuan, Honggang Wang, Ming Ma:
Medical Text and Image Reasoning for Radiation Oncology via Large Language Model. 1-4 - Pallabi Dutta, Sushmita Mitra:
Exploiting Cross-Dimensional Dependency Using Vision-LSTM for Efficient Medical Image Segmentation. 1-4 - Mehmet Can Yavuz, Yang Yang:
Cross-D Conv: Cross-Dimensional Transferable Knowledge Base via Fourier Shifting Operation. 1-5 - Yu Chen, Bo Deng, Zilun Peng, Yongle Zhou, Pan Sun, Jin Wan, Jieyun Bai:
COMT: Co-Training Mean Teachers Semi-Supervised Training Framework for Cervical Segmentation. 1-5 - Didi Chi, Paul K. Han, Henk M. De Feyter, Robin A. de Graaf, Chao Ma:
Deuterium Metabolic Imaging Denoising Using a Linear Tangent Space Alignment (LTSA) Model and Performance Analysis. 1-5 - Asif Hanif, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan:
On Frequency Domain Adversarial Vulnerabilities of Volumetric Medical Image Segmentation. 1-5 - Muhammad Nouman, Ghada Khoriba, Essam A. Rashed:
Evaluating Segmentation Accuracy with Diverse Prompt Strategies in Medsam. 1-5 - Yikai Han, Jimao Jiang, Yuru Pei:
Unsupervised Cell Localization and Segmentation via Synchronized Spectral Clustering. 1-5 - Lijun Yan, Churan Wang, Fangwei Zhong, Yizhou Wang:
Clinical Inspired MRI Lesion Segmentation. 1-4 - Zixin Huang, Yijie Zhang, Tülay Adali, Rongtao Jiang, Daoqiang Zhang, Vince D. Calhoun, Shile Qi:
MPIDS: Multi-Group Perturbation Based Individualized Differential Structural Brain Network. 1-5 - Anders S. Olsen, Sina Mansour L, James C. Pang, Andrew Zalesky, Dimitri Van De Ville, Hamid Behjat:
On Reconstruction of Cortical Functional Maps Using Subject-Specific Geometric and Connectome Eigenmodes. 1-5 - M. Doggaz, A. Brelot, Jean-Christophe Olivo-Marin, Thibault Lagache, Giacomo Nardi:
Neural-Network Model for Characterizing Stochastic Dynamic Variability of Cellular Particles. 1-4 - Xiaotong Zhang, Alexander Broersen, Gonnie C. M. van Erp, Silvia L. Pintea, Jouke Dijkstra:
Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation. 1-5 - Jingru Fu, Adrian V. Dalca, Bruce Fischl, Rodrigo Moreno, Malte Hoffmann:
Learning Accurate Rigid Registration for Longitudinal Brain MRI from Synthetic Data. 1-5 - Bryan Wong, Sungrae Hong, Mun Yong Yi:
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification. 1-5 - Reza Ghorbani, Jyothi Rikhab Chand, Chu-Yu Lee, Mathews Jacob, Merry Mani:
Three-Dimensional Diffusion-Weighted Multi-Slab MRI with Slice Profile Compensation Using Deep Energy Model. 1-4 - M. Abbas, Gustavo Andrade-Miranda, Vincent Bourbonne, Vincent Jaouen, J. Bert, T. Aparicio, Dimitris Visvikis, Bogdan Badic, Pierre-Henri Conze:
Advancing Treatment Response Assessment of Hepatic Metastases Using AI-Driven Volumetric Analysis. 1-4 - Saikat Roy, Mahmoud Mostapha, Radu Miron, Matt Holbrook, Mariappan S. Nadar:
Investigating the Feasibility of Patch-Based Inference for Generalized Diffusion Priors in Inverse Problems for Medical Images. 1-4 - Guangwei Zhang, Leqi Zheng, Hongyi Chen, Changdong Wang:
Supervised Learning Assisted by Text-Guided Attention for Ards Prediction. 1-4 - Xiwei Liu, Min Xu, Qirong Ho:
FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention. 1-5 - Abdelrahman Gamal, Ahmed Sharafeldeen, Eman Alnaghy, Reham Alghandour, Khadiga M. Ali, Sameh Shamaa, Amal Aboueleneen, Ahmed Elsaid Tolba, Samir Elmougy, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz:
Predicting Response to Neoadjuvant Chemotherapy using Multi-Modal MRI Radiomics and Machine Learning Approaches. 1-4 - Y. Aeschlimann, A. Calissano, Théo Papadopoulo, Samuel Deslauriers-Gauthier:
Brain Network Alignment Using Structural and Functional Connectivity With Anatomical Constraints. 1-4 - Wenjun Zhang, Shekhar S. Chandra, Aaron Nicolson:
Anatomical Grounding Pre-Training for Medical Phrase Grounding. 1-5 - Jatin Kayasth, Ashish Beary, Likun Xia, Youshan Zhang, Ming Ma:
Polyp Detection in Colonoscopy Videos via Boosted Multi-Scale Feature Fusion. 1-4 - Jianfeng Cao, Bin Duan, Hong Yan:
Reconstruct Dense Live-Cell Microscopy Images via Learning Continuous Fluorescence Field. 1-5 - Weilin Huang, Ranhao Zhang, Mingtao Huang, Xueming Li, Yuan Shen:
Equivariance-Based Theoretical Analysis and Self-Supervised Learning Framework for Missing Wedge Problem in Cryo-Electron Tomography. 1-4 - Ziad Kheil, Lucas Robinet, Laurent Risser, Soléakhéna Ken:
IMITATE: Image Registration with Context for Unknown Time Frame Recovery. 1-5 - Xingnan Li, Priyanka Rana, Tuba N. Gide, Nurudeen A Adegoke, Yizhe Mao, Georgina V. Long, Richard A. Scolyer, Shlomo Berkovsky, Enrico W. Coiera, James S. Wilmott, Sidong Liu:
Stain Imputation in Multiplex Immunofluorescence Imaging (SIMIF) Based on Random Channel-Wise Masking. 1-5 - Nicolas Hadjittoouli, Costas Pitris:
Skull Fracture Visualization Using Disk Harmonic Maps. 1-4 - Yi Wang, Haifeng Huang, Tingting Dan, Yang Yang, Guorong Wu:
Understanding the Spreading Mechanism of Tau Propagation in Alzheimers Disease Through a Multi-Layer Transport. 1-5 - Parker Martin, Christopher Crabtree, Matthew S. Tong, Orlando P. Simonetti, Yuan Xue:
Efficient CMR Report Classification Through Synthetic Data Distillation and Metadata Fusion. 1-5 - Baojie Ruan, Yongqin Zhang, Zhan Li, Xiaofeng Wang, Jian Chen, Xianjun Li:
Twin Recurrent Network with Dual Attention Modulation for Unsupervised Image Deformation Registration. 1-4 - Gaofeng Wu, Weijia Zhang, Zihao Zhu, Xinyi Cai, Yuxuan Hu, Tianli Tao, Luoyu Wang, Yitian Tao, Haifeng Tang, Han Zhang:
Predicting Future Cognitive Development Using Past Brain FMRI with Spatiotemporal Graph Transformers Guided by Prior Information. 1-4 - Jiahao Wang, Yingxue Su, Keying Zhu, Michelle Avery Basarah, Yiheng Zhong, Yangchuan Liu, Yuxuan Zhao, Angelos Stefanidis, Jingxin Liu:
Salience-Enhanced Network for Metal Artifact Reduction in CT Imaging. 1-5 - Cagan Alkan, Julio Oscanoa, Xucheng Zhu, Ali B. Syed, Shreyas Vasanawala, John M. Pauly:
Joint Optimization of Sampling Pattern and Reconstruction for Dynamic MRI. 1-5 - Sangjin Bae, Jae Sung Lee, Kuang Gong:
Joint Reconstruction of Activity and Attenuation for PET Imaging with Diffusion Prior. 1-4 - Ziqiao Weng, Tom Weidong Cai, Bo Zhou:
Efficient 4D fMRI ASD Classification using Spatial-Temporal-Omics-Based Learning Framework. 1-5 - Navyansh Mahla, Annie D'souza, Shubh Gupta, Bhavik Kanekar, Kshitij S. Jadhav:
MedSAGa: Few-Shot Memory Efficient Medical Image Segmentation Using Gradient Low-Rank Projection in SAM. 1-5 - Alex Fedorov, Yutong Bu, Xiao Hu, Chris Rorden, Sergey M. Plis:
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters. 1-5 - Jiawen Yang, Dongming He, Xuanyu Tian, Lei Ma, Jingyi Yu, Xudong Wang, Yuyao Zhang:
Blending Parametric Model and Neural Refinement: A Coarse-to-Fine Approach for Predicting Facial Changes in Orthognathic Surgery. 1-5 - Tingting Yang, Tao Zhou, Liang Xiao, Yizhe Zhang:
Easy and Hard Partitions: An Investigation On Dataset Partitions in Biomedical Image Analysis. 1-5 - Benjamin Formby, Kuang-Ching Wang, D. Hudson Smith:
Attention-Based Multiple Instance Learning for Achilles Tendinopathy Detection in Ultrasound Imaging. 1-5 - Zhendi Gong, Susan T. Francis, Eleanor Cox, Stamatios N. Sotiropoulos, Dorothee P. Auer, Guoping Qiu, Andrew P. French, Xin Chen:
MO-CTranS: A Unified Multi-Organ Segmentation Model Learning from Multiple Heterogeneously Labelled Datasets. 1-5 - Yueyao Chen, Zheng Han, Qi Dou:
LLAMA-VG: A Video Vision LLaMA-Based Model for Endoscopy Video Generation. 1-5 - Yifan Xie, Jingge Wang, Tao Feng, Fei Ma, Yang Li:
CCIS-DIFF: A Generative Model with Stable Diffusion Prior for Controlled Colonoscopy Image Synthesis. 1-5 - Xuange Gao, Danli Wang, Yanyan Zhao, Xinyuan Wang:
CFBM: Cubic Filtered Brain Map Creation Method and Models for Eeg-Based Emotion Recognition. 1-5 - Nisarg A. Shah, Ibrahim D. Ali, Rishabh Nanawati, Abdulla Shaheen, Irene Catterson, Vishal M. Patel, S. Swaroop Vedula, Shameema Sikder:
Classification of Surgeons' Gender from Videos of the Surgical Field. 1-4 - Mengxiang Chu, Yunxiang Ma, Zhengyu Zhong, Jingjing Yu, Xiaowei He, Jiaojiao Ren, Hongbo Guo:
Multivariate Analysis of Brain Function Consistency of Children with ADHD Across Tasks Based on FNIRS. 1-4 - Boxiao Yu, Kuang Gong:
Adaptive Whole-Body Pet Image Denoising Using 3D Diffusion Models with Controlnet. 1-5 - Ashirbani Saha, Dibyendu Mukherjee:
Visual Prompting and Adaptation of Vision Language Models for Tumor Classification in Breast Ultrasound. 1-5 - Nasrin Akter, Farah Deeba:
Combined Effect of Erythrocyte Aggregation and Leukocyte Presence on Quantitative Blood Ultrasound: a Simulation Study. 1-4 - Ibrahim Abdelhalim, Mohamed Elsharkawy, Ashraf Sewelam, Mohammed Ghazal, Ali Mahmoud, Ayman El-Baz:
FMUNet: Frequency Modulation-Based UNet for Octa Segmentation. 1-4 - Aroof Aimen, Arsh Verma, Makarand Tapaswi, Narayanan C. Krishnan:
Generalized Cross-Domain Multi-Label Few-Shot Learning for Chest X-Rays. 1-4 - Khoa Tuan Nguyen, Homin Park, Gaeun Oh, Joris Vankerschaver, Wesley De Neve:
Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability. 1-5 - Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan:
AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation. 1-4 - Jyothish Krishna P. G, Arun Kumar Thittai:
Investigation of Blood Velocity Estimation Using Diverging Beam Synthetic Aperture Transmit Scheme: Preliminary Results. 1-4 - Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Caterina Watson, Jacqueline Spurway, Jillian Clarke, Weidong Cai:
Sequential Spatial-Temporal Network for Interpretable Automatic Ultrasonic Assessment of Fetal Head During Labor. 1-5 - Jiarui Xing, Shuo Wang, Amit R. Petal, Kenneth C. Bilchick, Frederick H. Epstein, Miaomiao Zhang:
Scar-Aware Late Mechanical Activation Detection Network for Optimal Cardiac Resynchronization Therapy Planning. 1-4 - Xiaoxia Xing, Xiaowen Liang, Zhili Guo, Qing Zhang, Zhiyi Chen, Lu Yao:
Locating Standard Planes in Endometrium Ultrasound Videos via Clinical Prior Knowledge of Key Anatomical Structures. 1-4 - Huaqiao Qiu, Hua Wei, Jiao Li, Xun Gong:
Semi-Supervised Medical Image Classification with Neighborhood Adaptive Attention. 1-4 - Angus Man Ho Kwok, Jiaee Cheong, Sinan Kalkan, Hatice Gunes:
Machine Learning Fairness for Depression Detection Using EEG Data. 1-5 - Shengming Zhao, Peng Chen, Jun Zhang, Lizhi Shao, Bing Wang:
Cervical Cancer Lesion Grading Based on Clinical Diagnostic Criteria and Multi-View Approach Using Intraoperative Colposcopic Images. 1-5 - Rezkellah Noureddine Khiati, Pierre-Yves Brillet, Radu Ispas, Catalin I. Fetita:
Diff-Lung: Diffusion-Based Texture Synthesis for Enhanced Pathological Tissue Segmentation in Lung CT Scans. 1-5 - Arijit Patra, Jinge Wu, Vaanathi Sundaresan, Honghan Wu, Phil Scordis:
Attentive Latent Replay for Continual Learning in Pathology. 1-5 - Hongxu Yang, Edina Timko, Brice Fernandez:
Zero-Shot Bias Correction: Efficient MR Image Inhomogeneity Reduction without Any Data. 1-5 - Jiong Wu, Yiyuan Wang, Kuang Gong:
Fau-Net: Fourier Attention Based 3D U-Net For Medical Image Registration. 1-5 - Yunhao Lv, Lingyu Chen, Jian Wang, Yangxi Li, Fang Chen:
SelfMedHPM: Self Pre-Training with Hard Patches Mining Masked Autoencoders for Medical Image Segmentation. 1-5 - Nisarg A. Shah, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel:
Step Detection in Cataract Surgery Videos. 1-5 - Zihao Zhu, Gaofeng Wu, Haowen Deng, Yitian Tao, Tianli Tao, Weizhen Wang, Luoyu Wang, Zuozhen Lan, Meimei Yang, Shuting Wang, Jungang Liu, Han Zhang:
T2T-Bridge: Direct Diffusion Bridge Model for Thick-to-Thin Slice Infant MRI Reconstruction. 1-4 - Marek Wodzinski, Henning Müller:
3-D Image-to-Image Fusion in Lightsheet Microscopy by Two-Step Adversarial Network: Contribution to the Fusemycells Challenge. 1-4 - Jongyeon Yoon, Mingxing Rao, Elyssa M. McMaster, Chloe Cho, Nancy R. Newlin, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer:
Transformer-Based T1-Tractography. 1-5 - Dongfang Wang, Tao Zhou, Jian Yang:
Hybrid-Frequency Feature Evolution Network for Endoscopic Ultrasound Image Segmentation. 1-5 - Jin Wang, Bocheng Guo, Yijie Li, Junyi Wang, Yuqian Chen, Jarrett Rushmore, Nikos Makris, Yogesh Rathi, Lauren J. O'Donnell, Fan Zhang:
A Novel Deep Learning Tractography Fiber Clustering Framework for Functionally Consistent White Matter Parcellation Using Multimodal Diffusion MRI and Functional MRI. 1-5 - Oankar R. Patil, Benoit Louis Marteau, Felipe O. Giuste, May D. Wang:
Synthetic H&E Generation from Highly Multiplixed Immunofluorescence Imaging using Deep-Learning. 1-4 - Xinrui Ma, Jian Cheng, Wenxin Fan, Ruoyou Wu, Yongquan Ye, Shanshan Wang:
3D Anatomical Structure-Guided Deep Learning for Accurate Diffusion Microstructure Imaging. 1-4 - Florian Robert, Alexia Calovoulos, Laurent Facq, Fanny Decoeur, Etienne Gontier, Christophe F. Grosset, Baudouin Denis de Senneville:
Improving Cell Instance Segmentation in Scanning Electron Microscopy via Semantic Image Synthesis. 1-5 - Xin Li, Xuanyu Tian, Xudong Zhao, Hongjiang Wei, Yuyao Zhang:
Accelerated 3D Thermometry Field Reconstruction from Tri-Planar Images via Cross-View Implicit Representation. 1-5 - Yaopeng Peng, Danny Z. Chen, Milan Sonka:
U-Net V2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation. 1-5 - Junyi Liu, Ahmed Aly, Peter Kneuertz, Yuan Xue:
Adaptive Cross-Attention for Robust Lung Segmentation with Noisy Labels. 1-5 - Daniel Franco-Barranco, Aitor González-Marfil, Albert Cardona, Arrate Muñoz-Barrutia, Ignacio Arganda-Carreras:
Super-Resolution Benchmarking for 3D Image-to-Image Fusion Problem. 1-5 - Edward Sandoval, Juan A. Olmos, Fabio Martínez:
RIEMAE: Riemannian Masked Autoencoder for Classifying Malignant Prostate Cancer Patterns. 1-4 - Shuo Huang, Lujia Zhong, Yonggang Shi:
Autoencoder for 4-Dimensional Fiber Orientation Distributions from Diffusion MRI. 1-5 - Naomi Joseph, Ian Marshall, James Seckler, Nathan Petranka, Juri Moon, Kaichen Yu, Suyash More, Vo Linh Chi, Nicole A. Pelot, Andrew J. Shoffstall, Michael W. Jenkins, David Wilson:
Few-Shot Sample-Specific Deep Learning Multiclass Segmentation and Fiber Tractography using 3D-Microscopy with Ultraviolet Surface Excitation (3D-Muse) Images of Human Vagus Nerve. 1-5 - Ziling Lin, Zehua Li, Zifan Chen, Yao Lu, Fangxu Zhou, Bin Dong, Li Zhang, Haifeng Li:
RDMP: A Reference Detection and Mask Propagation Pipeline for Numerous 3D Glomeruli Segmentation in Large Volumes. 1-5 - Grégoire Malandain, Patrick Lemaire:
Surface Preserving Resampling of Labeled Images. 1-4 - Axel Adam, Hervé Liebgott, Barbara Nicolas, Adrian Basarab:
High-Framerate B-Mode Ultrasound Imaging Using Continuous Emission. 1-5 - YeongHyeon Park, Myung Jin Kim, Hyeong Seok Kim:
Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection. 1-4 - Hengjia Ran, Min Guo, Huafeng Liu:
Compartment Model-Guided Unsupervised Reconstruction for Low-Count Dynamic PET Imaging. 1-5 - Dominik Eckert, Ludwig Ritschl, Christopher Syben, Christian Hümmer, Julia Wicklein, Marcel Beister, Steffen Kappler, Sebastian Stober:
An Interpretable X-Ray Style Transfer Via Trainable Local Laplacian Filter. 1-5 - Lap Yan Lennon Chan, Chenxin Li, Yixuan Yuan:
One-Shot Tumour Synthesis for PET-CT Imaging. 1-5 - Tarek Elghareb, Amoon Jamzad, Minh Nguyen Nhat To, Fahimeh Fooladgar, Paul F. R. Wilson, Samira Sojoudi, Gabrielle Reznik, Michael Leveridge, Robert Siemens, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi:
Self-supervised Prototype Learning for Spatio-Temporal Enhanced Ultrasound-based Prostate Cancer Detection. 1-5 - Yunfei Shen, Biao Jie, Zhaoxiang Wu, Yang Zhang, Yang Yang, Liangchen Hu:
SFECNet: Fusion of Structural, Functional and Effective Connectivity Network for Epilepsy Classification. 1-5 - Mengxin Wang, Linglin Liao, Na Jiang, Qichuan Geng:
Efficient Fine-Tuning of SAM for Interactive Medical Image Multi-Organ Segmentation. 1-5 - Lukas Hecker, Amir Adler, Dimitrios Pantazis, Mati Wax, Amita Giri:
Localization of Brain Signals by Signal Subspace Matching. 1-5 - Jia He, Zhe Yi, Yile Feng, Jiaxing Huang, Wei Chen, Aijie Zhang, Yaobin Yin, Zhixin Wang, Bo Liu, Ge Yang:
Multi-Volume Isotropic Super-Resolution Wrist MRI Using Fourier-Guided Implicit Fusion. 1-5 - Jing Zhang, Xiaowei Yu, Yanjun Lyu, Lu Zhang, Tong Chen, Chao Cao, Yan Zhuang, Minheng Chen, Tianming Liu, Dajiang Zhu:
Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models. 1-5 - Diego Bravo, Josué Ruano, Martín Gómez, Fabio A. González, Eduardo Romero:
Self-Supervised Learning for Multi-Category Endoscopy Classification and Data Quality Evaluation Using Masked Autoencoders. 1-5 - Jiale Cheng, Fenqiang Zhao, Dan Hu, Chao Cao, Zhengwang Wu, Xinrui Yuan, Kangfu Han, Lu Zhang, Tianming Liu, Dajiang Zhu, Gang Li:
Unsupervised Cortical Surface Registration Network for Aligning Gyralnet. 1-5 - Ammar Khawer, Sheheryar Khan, Rizwan Qureshi, Muhammad Awais, Weitian Chen, Jia Wu:
MTKD-LRS: Semi Supervised Knee Cartilage Segmentation using Eigen Low Rank Subspace Assisted Mean-Teacher Framework. 1-5 - Zhifan Jiang, Vishwesh Nath, Holger R. Roth, Abhijeet Parida, Nicholas Foreman, Michael J. Fisher, Roger J. Packer, Syed Muhammad Anwar, Robert A. Avery, Marius George Linguraru:
KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity. 1-5 - Justin Namuk Kim, Yiqiao Liu, Rajath Soans, Keith Persson, Sarah Halek, Michal Tomaszewski, Jianda Yuan, Gregory Goldmacher, Antong Chen:
Omnimamba4D: Spatio-Temporal Mamba for Longitudinal CT Lesion Segmentation. 1-5 - Elham Ghelichkhan, Tolga Tasdizen:
A Comparison of Object Detection and Phrase Grounding Models in Chest X-Ray Abnormality Localization Using Eye-Tracking Data. 1-5 - Qi Gao, Karl Rohr:
Non-Rigid Registration of Time-Lapse Cell Microscopy Images Improved by a Semi-Incremental Optimization Method. 1-4 - Asma Tanabene, Chaithya G. R., Aurélien Massire, Mariappan S. Nadar, Philippe Ciuciu:
Benchmarking 3D Multi-Coil NC-PDNet MRI Reconstruction. 1-5 - Yin Shen, Zhaojie Fang, Ke Zhuang, Guanyu Zhou, Xiao Yu, Yucheng Zhao, Yuan Tian, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan, Ahmed Elazab:
CSF-NET: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting. 1-5 - Rüveyda Yilmaz, Kaan Keven, Yuli Wu, Johannes Stegmaier:
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation. 1-5 - Jiayan Lv, Xin Zhang, Wenxuan Wu, Sijin Yu:
Ga-Shape: A Dual-Path Framework Guided by Gestational Age and Local Shape Descriptors for Fetal Brain MRI Segmentation. 1-5 - Sicong Gao, Matthew AB Baker, Maurice Pagnucco, Yang Song:
Multimodal Weakly Supervised Segmentation for Histopathology. 1-4 - Gaon S. Kim, Bramsh Qamar Chandio, Sebastian M. Benavidez, Paul M. Thompson, Katherine E. Lawrence:
White Matter Microstructural Alterations in Autism Localized with Bundle Analytics. 1-5 - Sumin Liu, Minghan Chen, Xin Cao, Zhe Sheng, Junmei Sun, Ju Zhan, Shuai Wang, Guorong Wu, Defu Yang:
A Novel Joint Multi-Graph Learning Framework for Dynamic Functional Connectivity Network Estimation Across Multiple Time Scale. 1-4 - Théo Di Piazza, Loïc Boussel:
An Ensemble-Based Two-Step Framework for Classification of Pap Smear Cell Images. 1-4 - Minheng Chen, Zhirun Zhang:
Introducing Learning Rate Adaptation CMA-ES into Rigid Intraoperative 2D/3D Registration for Spinal Surgery. 1-4 - Jiong Wu, Kuang Gong:
Unsupervised Learning-Based Large Deformation Diffeomorphic Metric Mapping for Fast Image Registration. 1-5 - Wenzheng Hu, Zhenghua Guan, Nina Cheng, Ao Zhang, Yi Liu, Tianfu Wang, Baiying Lei:
Multi-Modal Fusion Network Integrating Imaging and Clinical Tabular Data for Alzheimer's Disease Classification. 1-4 - Wentao Li, Xingde Luo, Ziqi Yang, Xiaofang Jia, Zhongyu Li:
A Foundation Model for Cell Segmentation from Immunohistochemistry: A Pilot Study. 1-5 - Pedro R. A. S. Bassi, Qilong Wu, Wenxuan Li, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Label Critic: Design Data Before Models. 1-5 - Zhusi Zhong, Zhuoqi Ma, Thomas Y. Yi, Scott Collins, Grayson Baird, Harrison X. Bai, Paul Zhang, Terrance Healey, Michael K. Atalay, Zhicheng Jiao:
Risk-RAM: An Interpretable Deep Survival Prediction Model for COVID-19 Prognosis Using Chest X-Ray Images. 1-4 - Harry Gao, Weijie Gan, Yuyang Hu, Hongyu An, Ulugbek S. Kamilov:
A Self-Supervised Diffusion Bridge for MRI Reconstruction. 1-4 - Xuan Zhang, Yue Ding, Jionglin Wu, Haoxian Liu, Yongtao Zhang, Tianfu Wang, Baiying Lei:
Knowledge-Aware Multi-Source Domain Adaptation Network for Osteoporosis Diagnosis from Ultrasonic Radio Frequency Signals. 1-4 - Shenghao Zhu, Yifei Chen, Shuo Jiang, Weihong Chen, Chang Liu, Yuanhan Wang, Xu Chen, Yifan Ke, Feiwei Qin, Changmiao Wang, Zhu Zhu:
XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision Xlstm and Heteromodal Variational Encoder-Decoder. 1-5 - Pierre Fayolle, Alexandre Bône, Noëlie Debs, Mathieu Naudin, Pascal Bourdon, Rémy Guillevin, David Helbert:
Physics-Informed Autoencoder for DSC-MRI Perfusion Post-Processing: Application to Glioma Grading. 1-5 - Guangzhengao Yang, Xingyu Luo, Jie Zhao, Fangfang Fan, Haoshen Li, Bin Dong, Li Zhang, Yan Zhang:
RVPD: An Automated System for Calculating the Tortuosity and Bifurcation Angles of Retinal Vessels to Predict Diseases. 1-5 - Qianqian Wang, Wei Wang, Yuqi Fang, Hong-Jun Li, Andrea Bozoki, Mingxia Liu:
Topology-Aware Graph Augmentation for Predicting Clinical Trajectories in Neurocognitive Disorders. 1-4 - Fisseha A. Ferede, Ali Khalighifar, Jaison John, Krishnan Venkataraman, Khaled Khairy:
Z-UPSCALING: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM Volumes. 1-5 - Haydar Jammoul, Kilian Biasuz, Benjamin Gallean, Patrick Lemaire, Grégoire Malandain:
Developmental Stereotypy Assessment in Ascidian Embryos. 1-4 - Jack Bacon, Scott Brooks, Nigel J. Burroughs, Andrew D. McAinsh, Till Bretschneider:
Hierarchical Latent Space Clustering for Synthetic Cell Images. 1-5 - Yijie Zhu, Shan E Ahmed Raza:
Gland Segmentation Using SAM with Cancer Grade As A Prompt. 1-5 - Ling Yang, Zhanyu Wang, Luping Zhou:
Medvisiochat: A Multimodal Large Language Model Framework for Interpretable Diagnosis with Visual Grounding in CXRs. 1-5 - Amirhossein Eskorouchi, Haifeng Wang, Jonathan W. Lee, Vignesh H. Nayak, Norma B. Ojeda, Lir-Wan Fan:
Machine Learning-Based Polysomnography Data Analysis for ADHD Diagnosis: A Focus on Sleep Stage-Based Biomarkers. 1-4 - Jiaxiang Ren, Wensheng Cheng, Qiaochu Wang, Zhenghong Li, Rutwik Segireddy, Raghuveer Tatineni, Hyomin Jeong, Yanzuo Liu, Ruoyu Xu, Mira Xu, Xiaoyu Hu, Keying Jia, Congwu Du, Yingtian Pan, Haibin Ling:
COCTA: A Cortex Vessel Segmentation Benchmark Using Optical Coherence Tomography Angiography. 1-5 - Quoc Hung Tran, Tran Bao Sam, Van Ha Tang, Steven Q. H. Truong:
Feature-Driven LI-RADS Classification in Liver Cancer: A CNN-Based Approach for CT Imaging Under Data Scarcity. 1-5 - Manh Duong Nguyen, Dac Thai Nguyen, Trung Viet Nguyen, Homi Yamada, Huy Hieu Pham, Phi Le Nguyen:
Bridging Classification and Segmentation in Osteosarcoma Assessment via Foundation and Discrete Diffusion Models. 1-5 - Chenjie Jia, Xiao Li, Qitai Sun, Han Zhang, Xiaowei He, Tuo Zhang, Yudan Ren:
A Multi-Modal Fusion Method for 3-Hinge Gyrus Based on Bidirectional Cross-Attention. 1-4 - Hongkun Yu, Jamal Gardezi, Paige Zuber, Andrew L. Wentland:
SwinDiff_DAS: Data Augmentation for Segmentation of the Urinary Collecting System Based on the Shift-Window Transformer and Diffusion Model. 1-5 - Jiayang Zhong, Fuyao Chen, Lihui Chen, Dennis Shung, John A. Onofrey:
Conditional Convolution of Clinical Data Embeddings for Multimodal Prostate Cancer Classification. 1-5 - Haoshen Li, Jieyuan Cai, Yiyuan Wei, Zifan Chen, Heyun Chen, Jie Zhao, Yanjie Shi, Bin Dong, Lei Tang, Xiaotian Zhang, Li Zhang:
Multi-Stage Bidirectional Cross-Attention Model for Predicting Prognosis in Multiple Peritoneum Lesions with Clinical Information. 1-5 - Younes Moussaoui, Diana Mateus, Nasrin Taheri, Saïd Moussaoui, Thomas Carlier, Simon Stute:
Implicit Neural Representations for End-to-End PET Reconstruction. 1-5 - Anyang Ji, Qingbo Kang, Wei Xu, Changfan Wang, Kang Li, Qicheng Lao:
Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models. 1-5 - Hariharan Ravishankar, Naveen Paluru, Prasad Sudhakar, Phaneendra K. Yalavarthy:
UATTA-QSM: Uncertainty-Aware Test Time Adaptation for Improved Quantitative Susceptibility Mapping. 1-5 - Ye Sel Lee, Xiaolei Lu, Michael Miller, Jonathan Y. Lam, Supreeth P. Shashikumar, Shamim Nemati:
Multi-VentNet: Multimodal Fusion Framework for Predicting Need for Mechanical Ventilation. 1-5 - Xi Chen, Christopher A. Metzler, Arian Maleki, Shirin Jalali:
Monte-Carlo Based Efficient Image Reconstruction in Coherent Imaging With Speckle Noise. 1-5 - Injune Hwang, Karthik Saravanan, Caterina Vanelli Coralli, Shihfan Jack Tu, Stephen J. Mellon:
DG-PPU: Dynamical Graphs Based Post-Processing of Point Clouds Extracted from Knee Ultrasounds. 1-5 - Siyavash Shabani, Muhammad Sohaib, Sahar A Mohamed, Bahram Parvin:
Coupled Swin Transformers and Multi-Apertures Network(CSTA-NET) Improves Medical Image Segmentation. 1-5 - Paula Klimczok, Abdul Omar, Michael Laue, Nils Körber:
EMViR - Electron Microscopy Image Dataset Of Labelled Respiratory Viruses For Deep Learning Model Development. 1-5 - Matt Y. Cheung, Sophia Zorek, Tucker J. Netherton, Laurence E. Court, Sadeer Al-Kindi, Ashok Veeraraghavan, Guha Balakrishnan:
When are Diffusion Priors Helpful in Sparse Reconstruction? A Study with Sparse-View CT. 1-4 - Ahmed AL Qurri, Mohamed Almekkawy:
Enhancing Medical Image Segmentation with Mamba and UNet++. 1-5 - Satchel French, Faith Zhu, Amish Jain, Naimul Khan:
Temporal Feature Weaving for Neonatal Echocardiographic Viewpoint Video Classification. 1-5 - Junyong Zhao, Tian Lin, Meng Wang, Liang Sun, Haoyu Chen, Daoqiang Zhang, Huazhu Fu:
F2UE-NET: An Uncertainty-Driven Dynamic Expert Network for Long-Tail Retinal Disease Classification. 1-5 - Jue Jiang, Harini Veeraraghavan:
Benchmarking Transferability of Self-Supervised Pretraining for Multi-Organ Segmentation on Different Modalities. 1-5 - Yuhe Dai, Zhiyong Huang, Weimin Huang:
TA-MIR: Text Aggregation for Multimodal Feature Representation in Medical Image Registration. 1-5 - Zetian Feng, Dong Ni, Yi Wang:
Salient Region Matching for Fully Automated MR-TRUS Registration. 1-5 - Bohan Jiang, Andrew McNeil, Yihao Liu, Gaurav Rudravaram, Inga Saknite, Placide Mbala-Kingebeni, Olivier Tshiani Mbaya, Tyra Silaphet, Rachel Weiss, Lori E. Dodd, Veronique Nussenblatt, Daniel Moyer, Bennett A. Landman, Benoit M. Dawant, Eric R. Tkaczyk:
Deep Automatic Alignment of Mpox Dermatological Hand Photography. 1-5 - Nishanth Arun, Alexander Weston, Candice Bolan, Beau Toskich, Fernando Gil Lopez, John Galeotti:
Multi-Phase Attention for Early Stage Hepatocellular Carcinoma Segmentation from Contrast Enhanced Liver MRI. 1-5 - Jialin Li, Dong Wei, Jiaming Qiu, Yiwei Ren, Pujin Cheng, Junyan Lyu, Terry Tao Ye, Yefeng Zheng, Xiaoying Tang:
Braineditor: Structure-Disentangled Brain MRI Synthesis via Natural Language Prompted Diffusion Image Editing. 1-5 - Md Jahid Hasan, Wan Siti Halimatul Munirah Wan Ahmad, Mohammad Faizal Ahmad Fauzi, Jenny Tung Hiong Lee, See Yee Khor, Lai-Meng Looi, Fazly Salleh Abas:
An Attention Based Model for Histopathology Image Nuclei Segmentation. 1-5 - P.-E. Thiboud, Valentine Wargnier-Dauchelle, Mathieu Lefort, Nicolas Duchateau, Michaël Sdika:
Towards Better Interpretability of Sepsis Prediction by Deep Neural Networks with Variable-Wise Attribution Maps. 1-5 - Hao Zheng, Xiaoyang Chen, Hongming Li, Tingting Chen, Peixian Liang, Yong Fan:
SegCSR: Weakly-Supervised Cortical Surfaces Reconstruction from Brain Ribbon Segmentations. 1-4 - Fernando Pérez-Bueno, Hongwei B. Li, Shahin Nasr, César Caballero-Gaudes, Juan Eugenio Iglesias:
TV-Based Deep 3D Self Super-Resolution for FMRI. 1-5 - Gia-Bao Ha, Dinali Assylbek, Fernando Guevara Vasquez, Benjamin Sanchez:
SRL-EII: A Modular and Efficient Numerical Solver for Electrical Impedance Imaging. 1-4 - Satvik R. Elayavalli, Ipsa Yadav, Grant T. Cookson, Elias Sharifi, Tanya Tvrdic, Anant Madabhushi, Brent D. Weinberg, Malak Abedalthagafi, Sirvan Khalighi:
Non-Invasive Molecular Classification of Gliomas Using Explainable ai and Radiomic Features from Multi-Sequence MRI. 1-5 - A. Mudit Adityaja, Saurabh J. Shigwan, Nitin Kumar:
UnSegMedGAT: Unsupervised Medical Image Segmentation Using Graph Attention Networks Clustering. 1-4 - Robin Sandell, Justin Torok, Srikantan S. Nagarajan, Kamalini G. Ranasinghe, Daren Ma, Ashish Raj:
Integrating Event-Based and Biophysical Models to Predict Individual Tau Progression in Alzheimer's Disease. 1-4 - Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard, Hongtu Zhu, Chunfeng Lian, Mingxia Liu:
R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation. 1-4 - Chaohui Gong, Zisheng Huang, Zhiying Wu, Mingyang Zhao, Fan Xu, Xuexue Bai, Ming Feng, Alejandro Granados, Gaofeng Meng, Zhen Lei, Hongbin Liu:
MR-to-CT Translation Using Frequency-Separated Diffusion Models. 1-5 - Sahil Vora, Riti Paul, Pak Lun Kevin Ding, Ameet Patel, Leland Hu, Richard Sharpe, Yuxiang Zhou, Baoxin Li:
MEDL: Unsupervised Multi-Stage Ensemble Deep Learning With Diffusion Models for Denoising MRI Scans. 1-5 - Nikola Janjusevic, Amirhossein Khalilian-Gourtani, Yao Wang, Li Feng:
Learned Primal Dual Splitting for Self-Supervised Noise-Adaptive MRI Reconstruction. 1-4 - Biniyam Mezgebo, Joema Lima, Abdoljalil Addeh, Yousif Al-Khoury, Wooju Chung, Tarek A. Bismar, M. Ethan MacDonald, Dylan R. Pillai:
Attention-Enhanced UNet for Automated Gleason Score 3 Tumor Segmentation in Histopathological Whole Slide Images. 1-5 - Yusuke Kurose, Haruto Chiba, Lin Gu, Junichi Iho, Youji Tokunaga, Makoto Horie, Keisuke Nishizawa, Yusaku Hayashi, Yasushi Koyama, Tatsuya Harada:
Coronary Artery Segmentation with Partial Annotations in Coronary CT Angiography Images. 1-5 - Liang Shang, William A. Sethares, Anusha Adluru, Andrew L. Alexander, Vivek Prabhakaran, Veena A. Nair, Nagesh Adluru:
Stroke Lesion Segmentation Using Multi-Stage Cross-Scale Attention. 1-5 - Thi Thao Ho, Clément Beitone, Jocelyne Troccaz, Sandrine Voros:
Targeting Prostate Biopsy: A Straightforward CNN Solution for 3D MR-Trus Image Registration. 1-5 - Ani Gjergji, Massimiliano Ciranni, Matteo Moro, Vittorio Murino, Vito Paolo Pastore:
Self-Supervised Multi-Modal Learning for Accurate MRI Multiple Sclerosis Segmentation. 1-4 - Biwen Meng, Xi Long, Wanrong Yang, Ruochen Liu, Yi Tian, Yalin Zheng, Jingxin Liu:
Advancing Cross-Organ Domain Generalization with Test-Time Style Transfer and Diversity Enhancement. 1-5 - Ahmad Arrabi, J. Jung, J. Le, A. Nguyen, J. Reed, E. Stahl, N. Franssen, S. Raymond, Safwan Wshah:
C-ARM Guidance: A Self-Supervised Approach to Automated Positioning During Stroke Thrombectomy. 1-4 - Shiva Mirzaeian, Kyle M. Jensen, Adithya Ram Ballem, Vince D. Calhoun, Armin Iraji:
Ultra-High Order Independent Component Analysis for Intrinsic Connectivity Networks in Resting-State Functional Magnetic Resonance Imaging Data. 1-4 - Jonas R. Jostan, Laura M. Rodriguez, Diego Zarate Bernal, Juan O. Berdugo, Vicente Aljure, Fernando Lopez, Jahayra R. Lopez, Nassir Navab, Diana Mateus, Vanessa Gonzalez Duque:
Ultrasound Nerve Segmentation with Deep Learning for Leprosy. 1-5 - Théo Di Piazza, Carole Lazarus, Olivier Nempont, Loïc Boussel:
CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes. 1-5 - Xinyu Nan, Meng He, Zifan Chen, Bin Dong, Lei Tang, Li Zhang:
Ai-Driven Automated Tool for Abdominal CT Body Composition Analysis in Gastrointestinal Cancer Management. 1-5 - Matthew Chen, Benoit Marteau, Micky C. Nnamdi, J. Ben Tamo, May D. Wang:
Augmenting Spline Interpolated Dementia EEG Data with Deep Learning for Improved Multi-Centric Data Harmonization. 1-4 - Ruizhe Li, Grazziela Patrocinio Figueredo, Dorothee Auer, Rob A. Dineen, Paul S. Morgan, Xin Chen:
A Unified Framework for Semi-Supervised Image Segmentation and Registration. 1-5 - Moritz Piening, Fabian Altekrüger, Gabriele Steidl, Elke Hattingen, Eike Steidl:
Conditional Generative Models for Contrast-Enhanced Synthesis of T1W and T1 Maps in Brain MRI. 1-5 - Franck Valentini, Alex Lallement, Jean-Christophe Deloulme, Vincent Noblet:
Bridging the Gap Between Conventional and CNN-Based Registration: Application to Mouse Brain Morphometry. 1-4 - Hosam Elgendy, Hisham Cholakkal:
TX-LLaVA: Large Language and Vision Assistant for Temporal Changes in Chest X-Rays. 1-4 - Yiang Pan, Yuanjing Feng, Jianzhong He, Jianan Cui, Lei Xie, Zan Chen, Qingrun Zeng, Jiawei Zhang, Yan Yu, Konstantin K. Kukanov, Ye Wu:
A Novel Deep Learning Approach for Tissue Microstructure Estimation Using Spherical Mean Technique. 1-5 - Haoying Bai, Tongtong Che, Jichang Zhang, Shuyu Li:
BMENet: 3D Brain MRI Enhancement Against Various Degradations with Coarse to Fine Network. 1-5 - Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Weiyan Yin, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Mamba-Based Residual Generative Adversarial Network for Functional Connectivity Harmonization During Infancy. 1-5 - Qifeng Zhou, Thao M. Dang, Yuzhi Guo, Hehuan Ma, Wenliang Zhong, Saiyang Na, Jean Gao, Junzhou Huang:
Contrastive Pretraining for Computational Pathology with Visual-Language Models. 1-4 - Chenqi Wang, Kaiwen Huang, Chijin Yu, Yizhe Zhang, Tao Zhou:
Discrepancy-Induced Cross-Subnet Interaction Network for Semi-Supervised Medical Image Segmentation. 1-5 - Mingtao Huang, Tianyuan Li, Weilin Huang, Xueming Li, Yuan Shen:
A Bayesian Method for Tracing Filamentous Structures in Cryo-Electron Microscopy Images. 1-4 - Seyed Majid Razavi, Triet M. Tran, Steven E. Wilson, Sina Khanmohammadi:
Brain State Transition Disruptions in Alzheimer's Disease: Insights from EEG State Dynamics. 1-5 - Kamilia Taguelmimt, Hong-Phuong Dang, Gustavo Andrade-Miranda, Dimitris Visvikis, Bernard Malavaud, Julien Bert:
PI-RADS Inspired Architecture: A New Deep Learning Approach to Detect Clinically Significant Prostate Cancer on MRI. 1-4 - Gary Y. Li, Li Chen, Bryson Hicks, Nikolai Schnittke, David O. Kessler, Jeffrey Shupp, Maria Parker, Cristiana Baloescu, Christopher Moore, Cynthia Gregory, Kenton W. Gregory, Balasundar Raju, Jochen Kruecker, Alvin Chen:
Spatiotemporal Learning with Context-Aware Video Tubelets for Ultrasound Video Analysis. 1-5 - Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas:
Rate-My-LoRA: EFFICIENT AND ADAPTIVE FEDERATED MODEL TUNING FOR CARDIAC MRI SEGMENTATION. 1-5 - Hemant Kumar Aggarwal, Antony Jerald, Phaneendra K. Yalavarthy, Rajesh Langoju, Bipul Das:
Display Field-of-View Agnostic Robust Ct Kernel Synthesis Using Model-Based Deep Learning. 1-4 - Nigar Khasayeva, Kyle M. Jensen, Cyrus Eierud, Helen Petropoulos, Vince D. Calhoun, Armin Iraji:
[18F]Florbetapir Pet Uptake Differences in White Matter Across the Alzheimer's Disease Continuum: From Cognitively Normal to MCI and Dementia. 1-4 - Benny Kupfer, Leah Bar, Nir A. Sochen:
Fully Unsupervised Deep Spectral Clustering for Retinal Vessel Segmentation. 1-5 - Ying Chen, Xinyu Xiong, Huihui Fang, Yanwu Xu:
Adapting Segment Anything 2 for Diabetic Retinopathy Lesion Segmentation. 1-4 - Nima Yaghoobi, Jyothi Rikhab Chand, Yan Chen, Steve R. Kecskemeti, James H. Holmes, Mathews Jacob:
Fast Multi-Contrast MRI Using Joint Multiscale Energy Model. 1-5 - Xin Shen, Jie Feng, Ruimin Feng, Yuyao Zhang, Hongjiang Wei:
IMJ-PLUS: Implicit Representation for Dynamic MRI and Coil Sensitivity Joint Reconstruction Using Low-Rank PLUS Sparse Regularization. 1-5 - Jiaqi Guo, Yunnan Wu, Evangelos Kaimakamis, Georgios Petmezas, Vasileios E. Papageorgiou, Nicos Maglaveras, Aggelos K. Katsaggelos:
Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature Extractor. 1-5 - Takashi Ota, Hideaki Kuzuoka, Tomohiro Amemiya, Kazuma Aoyama:
Automated Optimization of Electrode Placement in Transcutaneous Electrical Nerve Stimulation Using Numerical Simulation. 1-5 - Hongshuo Li, Lei Mou, Jinkui Hao, Jiong Zhang, Yitian Zhao:
Dilation-Assisted Contrastive Learning for Corneal Nerve Segmentation in Corneal Confocal Microscopy. 1-5 - Amelia Schueppert, Ben Glocker, Mélanie Roschewitz:
Radio-Opaque Artefacts in Digital Mammography: Automatic Detection and Analysis of Downstream Effects. 1-5 - Yuchong Yao, Nandakishor Desai, Marimuthu Palaniswami:
DASAM: Medical Domain Adaptation of Segment Anything Model Without Further Pre-Training. 1-5 - Jingyun Yang, Guoqing Zhang, Jingge Wang, Yang Li:
Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially. 1-5 - Chin-Cheng Chan, Justin P. Haldar:
Rethinking Model-Based Non-Cartesian Fourier Imaging: A New K-Space Model. 1-4 - Gabriel Lepetit-Aimon, Lycia Mameri, Renaud Duval, Farida Cheriet:
Enhanced Graph Representation for Reliable Retinal Vessel Analysis: CLSA Population-Based Study. 1-5 - Ardhendu Sekhar, Vrinda Goel, Garima Jain, Abhijeet Patil, Aditya Bhangale, Ravi Kant Gupta, Tripti Bameta, Swapnil Rane, Amit Sethi:
HER2 Status Prediction in Breast Cancer: A Weak Supervision and Contrastive Learning Approach on H&E Stains. 1-4 - Arijit Patra, Tapabrata Chakraborti:
Attention Aware Continual Learning in Digital Pathology Contexts. 1-5 - Yousif Al-Khoury, Abdoljalil Addeh, Biniyam K. Mezgebo, M. Ethan MacDonald, Sarah L. Manske:
Atlas Construction and Validation Using Cone-Beam Computed Tomography Images of Healthy Adult Human Hands. 1-5 - Xing Yao, Runxuan Yu, Dewei Hu, Hao Yang, Ange Lou, Jiacheng Wang, Daiwei Lu, Gabriel Arenas, Baris U. Oguz, Alison M. Pouch, Nadav Schwartz, Brett C. Byram, Ipek Oguz:
SynStitch: A Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision. 1-5 - Hongyan Gu, Ellie Onstott, Wenzhong Yan, Tengyou Xu, Ruolin Wang, Zida Wu, Xiang Anthony Chen, Mohammad Haeri:
Z-Stack Scanning can Improve AI Detection of Mitosis: A Case Study of Meningiomas. 1-5 - Aurélie Lebrun, Michel Bottlaender, Julien Lagarde, Marie Sarazin, Yann Leprince:
Two-Step Registration Method Boosts Sensitivity in Longitudinal Fixel-Based Analyses. 1-4 - Hamidreza Aftabi, John E. Lloyd, Benedikt Sagl, Amanda Ding, Eitan Prisman, Antony Hodgson, Sidney Fels:
Optimizing Bone Cuts Enhances Predicted Bone Union Propensity in Mandibular Body Reconstruction. 1-4 - Badhan Kumar Das, Gengyan Zhao, Han Liu, Thomas J. Re, Dorin Comaniciu, Eli Gibson, Andreas K. Maier:
Self Pre-Training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging. 1-5 - Hernandez Gomez A., Nieto N., Podesta M. O., Félix F., Muñoz L. A.:
Are GAFs All you Need for BCIs? 1-4 - Helya Goharbavang, Omar Baig, Guoning Chen, David Mayerich:
Closed-Form GPU-Accelerated Tensor Voting with Refinement. 1-4 - Mostafa Abdelmegeed, Minjeong Kim:
Functional-Positional Context Embedding in Graph Neural Networks for Improved Parkinson's Disease Diagnosis. 1-4 - Partho Ghosh, Keegan R. Staab, Jonathan L. Percy, Abhilash Kizhakke Puliyakote, Marrissa McIntosh, Andrew Hahn, Sean B. Fain, Sarah E. Gerard:
Multimodal Learning for Lung Segmentation: Enhancing UTE MRI Segmentation with CT Datasets. 1-5 - J. Mason Harding, Haatef Pourmotabbed, Yamin Li, Kimberly Rogge-Obando, Kate Wang, Sarah E. Goodale, Shiyu Wang, Camden Bibro, Bergen Allee, Caroline G. Martin, Victoria L. Morgan, Dario J. Englot, Catie Chang:
Joint Source Decomposition of Concurrent EEG-FMRI Data in Epilepsy and Control Groups. 1-5 - Ivanna Kramer, Vinzent Rittel, Sabine Bauer, Lara Blomenkamp, Dietrich Paulus:
3D Vertebrae Measurements: Assessing Vertebral Dimensions in Human Spine Models Using Automated Landmark Detection. 1-5 - Tooba Tehreem Sheikh, Komal Kumar, Muhammad Awais, Noa Novershtern, Rao Muhammad Anwer, Hisham Cholakkal:
IHA-YOLO: Inter-Head Attention for Real-Time Cell Detection. 1-5 - Huan-Yu Chen, Woan-Shiuan Chien, Ching-Heng Lin, Chi-Chun Lee:
Leveraging Foundation Models for Clinically Instructed Tumor Image Synthesis in Renal Cell Carcinoma. 1-5 - Yunxiang Ma, Mengxiang Chu, Zhengyu Zhong, Lizhi Zhang, Jingjing Yu, Jiaojiao Ren, Hongbo Guo:
Multi-Scale Time-Frequency Fusion Intelligent Diagnosis Model for Children with ADHD Based on fNIRS. 1-4 - Zhaojin Chen, Sijin Yu, Xuejiao Li, Huirong Lei, Jiyu Qian, Yingxue Yao, Zicong Zheng, Guodong Liang, Xiaofen Xing, Xin Zhang, Chengfang Xu:
SSS: Signature-Sequence-Statistical Model for Exploring the Impact of Prenatal Depression on Newborns' Brain Using FNIRS. 1-4 - Yu Fang, Honglin Xiong, Jiawei Huang, Xin Wang, Zhenrong Shen, Feihong Liu, Xinyi Cai, Han Zhang, Qian Wang:
Longitudinal Image Synthesis for Early Brain Development with Age Awareness. 1-5 - Tasuku Koyama, Naoya Oda, Yuri Yano, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye:
Robust Classification of Urinary Sediment with Limited Data Through Semi-Supervised Ensemble Models. 1-4 - Haifeng Tang, Luoyu Wang, Gaofeng Wu, Xinyi Cai, Rui Zhou, Yan Liang, Xiaoshu Luo, Weijia Zhang, Han Zhang:
Dynamic Gradient Modulation for Enhanced Resting-State FMRI Denoising. 1-4 - Aleksandra Melnikova, Petr Matula:
Study of Shape Fusion Algorithms for 3D Time-Lapse Microscopy. 1-5 - Yihang Wu, Muhammad Owais, Reem Kateb, Ahmad Chaddad:
Deep Modeling and Optimization of Medical Image Classification. 1-4 - Pranab Samanta, Owaish, Nitin Singhal:
TC-MNET: Multi-Magnification Network Using Pvt and Convnext for Microscopic Image Segmentation. 1-4 - Jiayu Huo, Sébastien Ourselin, Rachel Sparks:
SAM-I2I: Unleash the Power of Segment Anything Model for Medical Image Translation. 1-5 - Xiaochuan Ma, Jia Fu, Wenjun Liao, Shichuan Zhang, Guotai Wang:
CLISC: Bridging Clip and SAM by Enhanced CAM for Unsupervised Brain Tumor Segmentation. 1-5 - Manson Cheuk-Man Fong, Jeffery Chun Hung Liu, Matthew King-Hang Ma, Xavreila Sheung-Wa Ng, Connie Lai Ling Hui, Mary Miu Yee Waye, Wai Tong Chien, William Shi-Yuan Wang:
Predicting Intelligence Profile and Brain Age with Single- and Dual-Channel Cnns: A Study Based on Human Connectome Projects. 1-6 - Ziru Lu, Yizhe Zhang, Yi Zhou, Geng Chen, Tao Zhou:
Visual Prompting Unsupervised Domain Adaptation for Medical Image Segmentation. 1-4 - Yunyao Lu, Yihang Wu, Reem Kateb, Ahmad Chaddad:
SEMI-Supervised Medical Image Segmentation via Dual Networks. 1-5 - Vaibhavi S. Itkyal, Armin Iraji, Zening Fu, Vince D. Calhoun:
Functional Network Connectivity in White Matter: A Group Informed ICA-Based Network Approach. 1-4 - Yixuan Liu, Yu Ding, Yingmin Liu, Chong Chen, Kelvin Chow, Ning Jin, Axel Krafft, Florian Maier, Aimee Armstrong, Rizwan Ahmad, Orlando P. Simonetti, Yuan Xue:
Real-Time Image Reconstruction with Deep Denoising for Low-Field MRI-Guided Interventions. 1-5 - Sheldon Chee, Alana Benally, Oleksandr Makeyev, Yiyao Ye-Lin, Gema Prats-Boluda, Javier Garcia-Casado:
Normalized Mutual Information in Phantom Model and Human Electroencephalogram Data for Emulation of Conventional Disc Electrode via the Outer Ring of Tripolar Concentric Ring Electrode. 1-4 - Gautam Rajendrakumar Gare, Hai Tran, Bennett P. deBoisblanc, Ricardo Rodriguez, John M. Galeotti:
Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound. 1-5 - Peiyu Duan, Nicha C. Dvornek, Jiyao Wang, Lawrence H. Staib, James S. Duncan:
Causal Modeling of FMRI Time-Series for Interpretable Autism Spectrum Disorder Classification. 1-5 - Jiaying Zhao, Yongquan Ye, Jing Cheng, Ye Li, Jian Xu, Dong Liang, Sen Jia:
Accelerating the Whole-Brain Multi-Parametric Imaging Through Joint Deep Learning Reconstruction and Physical Model Integration. 1-4 - Sneha N. Naik, Elsa D. Angelini, Eric A. Hoffman, Elizabeth C. Oelsner, R. Graham Barr, Benjamin M. Smith, Andrew F. Laine:
Multi-View Transformers for Airway-to-Lung Ratio Inference on Cardiac CT Scans: The C4R Study. 1-5 - Dingjie Su, Katherine D. Van Schaik, Lucas W. Remedios, Thomas Z. Li, Fabien Maldonado, Kim L. Sandler, Benoit M. Dawant, Bennett A. Landman:
CT Contrast Phase Identification by Predicting the Temporal Angle Using Circular Regression. 1-5 - Mayuri Mathur, Anav Chaudhary, Saurabh Kumar Gupta, Ojaswa Sharma:
Structurally Consistent MRI Colorization using Cross-Modal Fusion Learning. 1-5 - Changfan Luo, Xiang Wu, Kun Feng, Dianpei Ma, Ling Fang, Bensheng Qiu:
Attention-Driven Multi-Sequence Mri Feature Learning and Fusion for Breast Cancer Diagnosis. 1-5 - Aline Kotoski, Sir-Lord Wiafe, Vince D. Calhoun:
Sex Differences in Coupled Dynamic Functional Connectivity and Structural Brain Morphology: Insights from the ABCD Study. 1-4 - Yanxi Chen, Yi Su, Celine Dumitrascu, Kewei Chen, David Weidman, Richard J. Caselli, Nicholas Ashton, Eric M. Reiman, Yalin Wang:
Plasma-CycleGAN: Plasma Biomarker-Guided MRI to Pet Cross-Modality Translation Using Conditional CycleGAN. 1-5 - Abdullah, Tao Huang, Ickjai Lee, Euijoon Ahn:
High-Resolution Histopathology Whole Slide Image Generation Using Wavelet Diffusion Model. 1-5 - Yuanhao Gong, Tan Tang, Zeyu Yang, Lantao Yu:
A Filter for Minimizing Gaussian Curvature on 3D Triangular Meshes. 1-5 - Wei Tang, Kangning Cui, Raymond H. Chan, Jean-Michel Morel:
Bilateral Signal Warping for Left Ventricular Hypertrophy Diagnosis. 1-5 - Zhichen Yan, Wandong Zhang, Yimin Yang, Ashirbani Saha:
Multi-Distribution Mammogram Classification: Leveraging Clip for Enhanced Generalization Across Diverse Datasets. 1-5 - Xavreila Sheung-Wa Ng, Manson Cheuk-Man Fong, William Shi-Yuan Wang:
The Influence of Handedness on White Matter Microstructure: Investigation of Quantitative Anisotropy Based on the Human Connectome Project. 1-5 - Xu Wang, Dinglun He, Baoming Zhang, Yao Hao, Deshan Yang, Ye Duan:
Conditional Diffusion Model for Abdominal CT Image Synthesis. 1-5 - Greyson A. Wintergerst, Samuel W. Remedios, Allen T. Newton, Seth A. Smith, Bennett A. Landman, Kurt G. Schilling:
Measuring Impact of Super-Resolution on Spinal Cord MRI Scans: Lesion Detection Sensitivity, Variability, and Clinical Impact. 1-5 - Aurel J. Amar, Nyoman D. Kurniawan, Luise A. Cullen-McEwen, Andrew J. Kassianos, Helen G. Healy, John F. Bertram, Shekhar S. Chandra, David C. Reutens:
Automated 3D Segmentation of Glomeruli in Human Kidney Tissue Specimens Using 16.4 T MRI Without Contrast Agents. 1-5 - Hiep Dinh, Son Le, My Than, Minh Ho, Nicolas Vuilerrme, Hieu Pham:
Quantitative Gait Analysis from Single RGB Videos Using a Dual-Input Transformer-Based Network. 1-5 - David Yang, Mostafa Abdelmegeed, John Modl, Minjeong Kim:
Edge-Boosted Graph Learning for Functional Brain Connectivity Analysis. 1-4 - Adithya Ram Ballem, Prerana Bajracharya, Pablo André S.-Camazón, Jiayu Chen, Vince D. Calhoun, Armin Iraji:
Psychosis Multiscale Functional Network Connectivity Subspace Encodes Sex Specificity and Identifies Sex Biotypes. 1-4 - Xinze Zhou:
WAVE-VNET: Enhancing Medical Image Segmentation with Wavelet Transformer. 1-5 - Juntao Su, Syed Muhammad Anwar, Fang Jin:
Explainsegnet: Interpretable Segmentation for Alzheimer's Diagnosis. 1-5 - Kylian Desier, Luc Lafitte, Laurent Facq, Olivier Sutter, Olivier Seror, Clair Poignard, Baudouin Denis de Senneville:
Deep Modelling of Electric Field Distribution for Clinical Electroporation Ablation Therapies. 1-5 - Liang Ma, Sarah Shultz, Zening Fu, Masoud Seraji, Armin Iraji, Vince D. Calhoun:
Spontaneous Brain Dynamics Associated with Acceleration of Long-Term Functional Connectome in Postnatal Development. 1-4 - Maylis Jouvencel, Razmig Kéchichian, Julie Digne, Sébastien Valette:
SCONet: Convolutional Occupancy Networks for Multi-Organ Segmentation. 1-5 - Xiangyu Sun, Xiaoguang Zou, Yuanquan Wu, Guotai Wang, Shaoting Zhang:
Fairness Analysis of Clip-Based Foundation Models for X-Ray Image Classification. 1-5 - Mingze Xia, Nisarg A. Shah, Vishal M. Patel, S. Swaroop Vedula, Shameema Sikder:
Leveraging Graph Attention Networks for Targeted Feedback from Operating Room Surgery Videos. 1-4 - Amir Buchali, Roberto Souza, Stanislav Motyka, Eva Niess, Bernhard Strasser, Wolfgang Bogner, Amirmohammed Shamaei:
Accelerating Water Removal in MRSI Using Domain Knowledge-Based Deep Learning. 1-4 - Jiazhen Hong, Laleh Najafizadeh:
TopoEEG: A Timesformer-Based Topographic Image Representation Method for Single-Trial Early Detection of P300. 1-4 - Martin Krebs, Jan Obdrzálek, Vít Musil, Tomás Brázdil:
Beyond Occlusion: In Search for Near Real-Time Explainability of CNN-Based Prostate Cancer Classification. 1-5 - Geovani L. Martins, Daniel S. Ferreira, Cláudia M. Carneiro, Andrea Gomes Campos:
Ranking of Visual Attention Spread Improves Trypanosoma Cruzi Detection in Microscopy Videos. 1-5 - Erfan Mirzaei, Rahul Singh:
Real-Time Eeg-Based Epileptic Seizure Detection by One-Class Classification using CNN-LSTM and STFT. 1-4 - Emese Sükei, Marzieh Oghbaie, Ursula Schmidt-Erfurth, Günter Klambauer, Hrvoje Bogunovic:
Advancing OCT-Based Retinal Disease Classification with XLSTM: A Framework for Variable-Length Volume Processing. 1-5 - Yusong Xiao, Li Xiao:
Hierarchical Augmentation Consistency Learning for Semi-Supervised Medical Image Segmentation. 1-5 - Sanghyuk Kim, Edward Gaibor, Brian Matejek, Daniel Haehn:
Melanoma Detection with Uncertainty Quantification. 1-5 - Kun Tian, Rui Hu, Xiaowen Wang, Yunmei Chen, Huafeng Liu:
LM-LDA: Learned Descent Algorithm for List-Mode TOF-PET Image Reconstruction. 1-5 - Xuhui Guo, Tanmoy Dam, Rohan Dhamdhere, Gourav Modanwal, Anant Madabhushi:
UNETVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM. 1-5 - Yazhe Zhai, Yu Xie, Yifei He, Xinyuan Zhang, Jiaolong Qin, Ye Wu:
Exploring Consistency of Connectome Across Species Using Inter-Bundle Topological Graph Network (ibTGN). 1-4 - Xinze Zhou, Yuxuan Zhao, Chuntung Zhuang, Dexin Yu, Alan L. Yuille, Zongwei Zhou:
Efficient Human-in-the-Loop Pancreatic Tumor Annotation via Large-Scale Pre-Trained Model with Adaptive Post-Processing. 1-4 - Shivasankaran Vanaja Pandi, Zhenghong Li, Ruyi Lian, Joyce Lee, Wensheng Cheng, Liguo Wang, Yuewei Lin, Qun Liu, Haibin Ling:
A Novel Contrastive Loss and Clustering Approach for Particle Detection in Cryo-EM. 1-5 - Susanne Schmid, Amirmohammad Shamaei, Roberto Souza, Richard Frayne:
Quantifying White Matter Hyperintensities: Predicting Periventricular Fazekas Scores with Uncertainty Estimation. 1-5 - Weixi Yi, Yipei Wang, Natasha Thorley, Alexander Ng, Shonit Punwani, Veeru Kasivisvanathan, Dean C. Barratt, Shaheer U. Saeed, Yipeng Hu:
T2-Only Prostate Cancer Prediction by Meta-Learning from BI-Parametric MR Imaging. 1-5 - Lei Wu, Marlena Duda, Armin Iraji, Vince D. Calhoun:
Dynamic Fusion: Merging Structural and Functional Connectivity Dynamics Via Joint CMICA. 1-4 - Ha-Hieu Pham, Tran Quoc Khanh Le, Hoang-Thien Nguyen, Nguyen Lan Vi Vu, Quang-Vinh Dinh, Thanh-Huy Nguyen, Xingjian Li, Min Xu:
Fetal-BCP: Addressing Empirical Distribution Gap in Semi-Supervised Fetal Ultrasound Segmentation. 1-4 - Abhiram Kandiyana, Peter R. Mouton, Yaroslav Kolinko, Lawrence O. Hall, Dmitry B. Goldgof:
Active Prompt Tuning Enables GPT-4O to do Efficient Classification of Microscopy Images. 1-5 - Hai Jiangs, Qiongting Liu, Yuanpin Zhou, Jiawei Pan, Ting Song, Yao Lu:
Anatomy-Guided Multitask Learning for MRI-Based Classification of Placenta Accreta Spectrum and its Subtypes. 1-5 - Sahar Nasirihaghighi, Negin Ghamsarian, Raphael Sznitman, Klaus Schoeffmann:
Dual Invariance Self-Training for Reliable Semi-Supervised Surgical Phase Recognition. 1-5 - Bhargav Ghanekar, Lianne R. Johnson, Jacob L. Laughlin, Marcia K. O'Malley, Ashok Veeraraghavan:
Video-Based Surgical Tool-Tip and Keypoint Tracking Using Multi-Frame Context-Driven Deep Learning Models. 1-5 - Tyler Ward, Abdullah-Al-Zubaer Imran:
Annotation-Efficient Task Guidance for Medical Segment Anything. 1-4 - Meher Niger, Wilna Moree, Maximillian Bluhm, Jason L. Eriksen, Guoning Chen, David Mayerich:
Segmentation of Microvascular Networks Embedded in Gigavoxel 3D Images Using RSF Level Sets with OpenVDB. 1-4 - Danial Maleki, Nazim Shaikh, Gareth Shannon, Jian Li, Yao Nie:
Clustering-Enhanced Multimodal Pre-Training for Histology-Gene Joint Representation Learning. 1-5 - Dominik Winter, Nicolas Triltsch, Marco Rosati, Anatoliy Shumilov, Ziya Kokaragac, Yuri Popov, Thomas Padel, Laura Sebastian Monasor, Ross Hill, Markus Schick, Nicolas Brieu:
Utilizing Mask-Guided Cross-Image Attention for Zero-Shot In-Silico Histopathologic Image Generation with a Diffusion Model. 1-5 - Ahmed Sharshar, Yasser Attia, Mohammad Yaqub, Mohsen Guizani:
Pulmofusion: Advancing Pulmonary Health with Efficient Multi-Modal Fusion. 1-5 - Jonghun Kim, Hyunjin Park:
Simulating Post-Neoadjuvant Chemotherapy Breast Cancer MRI via Diffusion Model with Prompt Tuning. 1-5 - Mohamed Elsharkawy, Ibrahim Abdelhalim, Mohammed Ghazal, Ali Mahmoud, Harpal Sandhu, Ayman El-Baz:
ISGM-DR: Important Slice-Guided Model for Diabetic Retinopathy Diagnosis Using 3D Oct Images. 1-4 - Donggyu Lee, Suhyun Ahn, Seunghyuck Park, Jinah Park:
SAM3X: Efficient 3D-Aware Network for Medical Image Segmentation Using SAM. 1-5 - Thomas Langrognet, Timothée Faucon, Etienne Decencière:
Self-Supervised Metric Learning for Gaussian Anomaly Detection in Fundus Images. 1-5 - Yuli Wu, Do Dinh Tan Nguyen, Henning Konermann, Rüveyda Yilmaz, Peter Walter, Johannes Stegmaier:
Visual Fixation-Based Retinal Prosthetic Simulation. 1-5 - Zumnan Timbi, Yunfei Yin, Fei Yang:
MSCAM-Net: A Multi-Scale and Context-Aware Model with Adaptive Fusion Module for Robust Skin Lesion Segmentation. 1-4 - Mathilde Dupouy, Yamil Vindas, Marilys Almar, Blaise Kévin Guépié, Philippe Delachartre:
Weakly-Supervised Semantic Space Structuring: Cardiac Cycle Position for Cerebral Emboli Visualization Using Contrastive Learning. 1-4 - Sarang Galada, Tanurima Halder, Kunal Deo, Ram P. Krish, Kshitij S. Jadhav:
Prism: Privacy-Preserving Inter-Site MRI Harmonization via Disentangled Representation Learning. 1-4 - Ekansh Sareen, Takuya Ishii, Rebecca Jones, Estelle Raffin, Friedhelm Hummel, Dimitri Van De Ville:
Improved Spinal Cord FMRI Activation Mapping Using Regularized Hemodynamic Deconvolution. 1-5 - Jonah Boutin, Matthew Caius, Abbas Samani:
Development of an Anatomically Realistic Ultrasound Elastography Radiofrequency Database. 1-4 - Chuheng Zheng, Mondher Bouazizi, Tomoaki Ohtsuki, Momoko Kitazawa, Toshiro Horigome, Taishiro Kishimoto:
Enhancing Dementia Detection: Augmenting the Face Mesh. 1-4 - Doyoung Park, Jinsoo Kim, Qi Chang, Shuang Leng, Liang Zhong, Lohendran Baskaran:
RICAU-NET: Residual-Block Inspired Coordinate Attention U-Net for Segmentation of Small and Sparse Calcium Lesions in Cardiac CT. 1-5 - Alex Ling Yu Hung, Kai Zhao, Kaifeng Pang, Qi Miao, Zhaozhi Wang, Wayne Brisbane, Demetri Terzopoulos, Kyunghyun Sung:
Minimally User-Guided 3D Micro-Ultrasound Prostate Segmentation. 1-5 - Guangzhengao Yang, Li Zhang, Jie Zhao, Zifan Chen, Haoshen Li, Bin Dong:
U-Star: AN Asymmetric U-Shaped Network Based on Element-Wise Multiplication to Segment Nuclei in H&E Stained Histological Images. 1-5 - Luoting Zhuang, Seyed Mohammad Hossein Tabatabaei, Ashley E. Prosper, William Hsu:
Enhancing Lung Segmentation Algorithms to Ensure Inclusion of Juxtapleural Nodules. 1-5 - Jingpeng Li, Sheng He, Rina Bao, Atle Bjørnerud, Ellen Grant, Yangming Ou:
Using Off-Target-Disease Data to Improve Target-Disease Lesion Segmentation. 1-4 - Peng Jin, Yuxuan Liu, Taiwei Cui:
GP-CPS: Gradient Penalty Cross Pseudo Supervision for Semi-Supervised Medical Image Segmentation. 1-5 - Meenu Ajith, Dawn M. Aycock, Erin B. Tone, Jingyu Liu, Maria B. Misiura, Rebecca Ellis, Sergey M. Plis, Tricia Z. King, Vonetta M. Dotson, Vince D. Calhoun:
Predictive Modeling of Mood Using Functional Network Connectivity: Differential Impacts in Exercise + Smart and Control Groups. 1-5 - Umaima Rahman, Raza Imam, Mohammad Yaqub, Boulbaba Ben Amor, Dwarikanath Mahapatra:
Can Language-Guided Unsupervised Adaptation Improve Medical Image Classification Using Unpaired Images and Texts? 1-5 - Amel Imene Hadj Bouzid, Fabien Baldacci, Baudouin Denis de Senneville, Wadie Ben Hassen, Ilyes Benlala, Patrick Berger, Gaël Dournes:
3D Semantic Segmentation of Airway Abnormalities on UTE-MRI with Reinforcement Learning on Deep Supervision. 1-5 - Dongwoo Kang, Jaewon Choi, Jonghye Woo, C.-C. Jay Kuo:
Unsupervised Anomaly Detection Framework for Coronary Artery Lesions in CTCA. 1-5 - Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc, Livio Finos, Enrico Grisan:
Automated Classification of Cell Shapes: A Comparative Evaluation of Shape Descriptors. 1-4 - Kangfu Han, Dan Hu, Jiale Cheng, Tianming Liu, Andrea Bozoki, Dajiang Zhu, Gang Li:
Dual Multi-Atlas Representation Alignment for Brain Disorder Diagnosis Using Morphological Connectome. 1-4 - Bin Zhang, Taofeng Xie, Zhuoxu Cui, Xuhao Dong, Yi An, Jinxuan Lv, Shiyi Zhang, Haonan Li, Haifeng Wang, Dong Liang, Yihang Zhou:
RED-Net: Radiomics-Enhanced Diffusion Network for MRI-to-PET Cross-Modality Image Synthesis. 1-4 - Dung T. Tran, Hung Vu, Anh Tran, Tuan Hoang, Hieu Pham, Hong Nguyen, Nam-Phong Nguyen:
SEMISE: Semi-Supervised Learning for Severity Representation in Medical Image. 1-4 - Maxime Jacovella, Ali Keshavarzi, Elsa Angelini:
Curriculum Learning for Few-Shot Domain Adaptation in CT-Based Airway Tree Segmentation. 1-5 - Guang Yang, Jingkun Chen, Xicheng Sheng, Shan Yang, Xiahai Zhuang, Betty Raman, Lei Li, Vicente Grau:
Contrast-Free Myocardial Scar Segmentation in Cine MRI using Motion and Texture Fusion. 1-5 - Wentao Yu, Chenggang Lu, Quanyong Yi, Jiong Zhang, Caifeng Shan:
Msapnet: Multi-Scale and Multi-Axial Perception Network for Retinal Layers and Lesion Segmentation. 1-5 - Muhammad Awais, Mehaboobathunnisa Sahul Hameed, Bidisha Bhattacharya, Orly Reiner, Gregory Slabaugh, Rao Muhammad Anwer:
BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases. 1-5 - Jun Lin, Xiang Zhang, Jun Shen, Yao Lu:
Predicting Axillary Lymph Node Metastasis in Breast Cancer by Integrating Dual-ROI Features from Multi-Parametric MRI. 1-4 - Dailin Wen, Chunzhi Zhao, Tülay Adali, Daoqiang Zhang, Vince D. Calhoun, Shile Qi:
THIDS: Triplet High-Order Individual Differential Structural Brain Network. 1-5 - Jiawei Yu:
Enhancing Cervical Segmentation via Alternate Diverse Teaching in Semi-Supervised Learning. 1-4 - Xuanzhao Dong, Wenhui Zhu, Xin Li, Guoxin Sun, Yi Su, Oana M. Dumitrascu, Yalin Wang:
TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement. 1-5 - Devavrat Tomar, Guillaume Vray, Dwarikanath Mahapatra, Sudipta Roy, Jean-Philippe Thiran, Behzad Bozorgtabar:
Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology. 1-5 - Fanwen Wang, Ke Wen, Yaqing Luo, Yinzhe Wu, Jiahao Huang, Dudley J. Pennell, Pedro F. Ferreira, Andrew D. Scott, Sonia Nielles-Vallespin, Guang Yang:
Is Fitting Error a Reliable Metric for Assessing Deformable Motion Correction in Quantitative MRI? 1-5 - Buddhadev Goswami, Susmit Neogi, Saurabh R. Nagar, Nirmal Punjabi, Ravindra D. Gudi:
Classification of Oral Potentially Malignant Disorders Using Multimodal Feature Integration. 1-4 - Ye Jiang, Jintao Ni, Xu Guo, Bo Ma, Zheng You:
Unsupervised Sparse Cooperative Learning for Limited View Optoacoustic Tomography. 1-5 - Soo Min Oh, Yifan Li, Jo Woon Chong:
Wavelet Convolutional Neural Network for Low-Resolution Brain MRI Images. 1-5 - Sheng He, Rina Bao, Patricia Ellen Grant, Yangming Ou:
Relation U-Net. 1-4 - Max Bengtsson, Elif Keles, Gorkem Durak, Syed Anwar, Yuri S. Velichko, Marius George Linguraru, Angela J. Waanders, Ulas Bagci:
A New Logic for Pediatric Brain Tumor Segmentation. 1-5 - Alana Benally, Yiyao Ye-Lin, Oleksandr Makeyev, Gema Prats-Boluda, Javier Garcia-Casado:
Effect of Using Suboptimal Coefficients for Laplacian Estimation with T-Lead Electrodes on Human Electroencephalogram Data and Via Finite Element Method Modeling. 1-5 - Sandra Emi Sato Imuro, Salman Siddique Khan, Eman Nayaz Ahmed, Deeksha Sarda, Guha Balakrishnan, Sadeer Al-Kindi, Ashutosh Sabharwal:
Classifying Coronary Artery Calcification Risk using Radiomics from Non-Gated CT Scans. 1-4 - Yueqin Diao, Jiansheng Fang, Yan Ding, Ying Zhao, Heng Meng, Yanwu Xu:
Temporal-Focal Attention on EEG for Cross-Patient Epileptic Seizure Detection. 1-4 - Lina Chato, Kristipati Thoyajaksha Kashyap, Krishna Phanindra Marupaka, KC Santosh:
Hybrid DL Classification Model Based on CNN and Transformer for Pap Smear Cells. 1-4 - Benjamin S. Sipes, Ashish Raj:
Deconvolving Passive Diffusion on the Structural Network from Functional Brain Signals. 1-5 - Geoffroy Oudoumanessah, Thomas Coudert, Luc Meyer, Aurélien Delphin, Thomas Christen, Michel Dojat, Carole Lartizien, Florence Forbes:
Cluster Globally, Reduce Locally: Scalable Efficient Dictionary Compression for Magnetic Resonance Fingerprinting. 1-5 - Zhengyong Huang, Hakim Ouaalam, Onur Afacan, Simon K. Warfield, Yao Sui:
Measuring T1 Relaxation Times at High Resolution from Rapid Brain MRI. 1-5 - Wenjie Kang, Lize C. Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina Koek, Jurgen A. H. R. Claassen, Huub A. M. Middelkoop, Wiesje M. van der Flier, Willemijn Jansen, Stefan Klein, Esther Bron:
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease. 1-5 - Rahul V, Rachana Sathish, Mrunal Pattanaik, Krishan Agyakari Raja Babu:
Synthetic Data for Assessing Robustness of Deep Learning Models to Distributional Shifts. 1-4 - Shijie Pang, Yuze Zhao, Rui-Wei Zhao, Rui Feng:
Towards Multi-Label Open Set Diagnosis for Medical Images. 1-5 - Sunitha Basodi, Charles A. Ellis, Biozid Bostami, Frank G. Hillary, Sandeep R. Panta, Vince D. Calhoun:
Decentralized ComBat-Mega for Harmonizing FNC Data in Coinstac. 1-4 - Yui Lo, Yuqian Chen, Dongnan Liu, Jon Haitz Legarreta, Leo R. Zekelman, Fan Zhang, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Tom Weidong Cai, Lauren J. O'Donnell:
TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds. 1-5 - Imane Chafi, Ying Zhang, Yoan Ladini, Farida Cheriet, Julia Keren, François Guibault:
Exploring the Use of Generative Adversarial Networks for Automated Dental Preparation Design. 1-5 - Xu Wang, Yao Hao, Deshan Yang, Ye Duan:
Diffusion-Driven 3D CECT-to-NCECT Conversion for Head and Neck Imaging. 1-5 - Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Yavuz Taktak, Elif Keles, Halil Ertugrul Aktas, Alpay Medetalibeyoglu, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Rajesh N. Keswani, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Michael G. Gorrins, Michael B. Wallace, Ziyue Xu, Ulas Bagci:
Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. 1-5 - Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, James S. Duncan:
Towards Zero-Shot Task-Generalizable Learning on FMRI. 1-5 - Yiming Ding, Weifang Zhu, Fei Shi, Ruiqi Ma, Xinjian Chen:
ASDC-NET: Anterior Segment Disease Classification Network Based on Slit-Lamp Images. 1-4 - Jianfei Liu, Vivek Batheja, Pritam Mukherjee, Perry J. Pickhardt, Peter C. Grayson, Ronald M. Summers:
An Automated Whole Torso Aortic and Iliac Artery Atherosclerotic Burden Assessment on Body CT. 1-5 - Haifan Gong, Luoyao Kang, Yitao Wang, Yihan Wang, Xiang Wan, Xusheng Wu, Haofeng Li:
Nnmamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model. 1-5 - Naveetha Nithianandam, Prabhjot Kaur, Anil Kumar Sao:
A Simple Yet Effective Method for Motion Detection in Structural Magnetic Resonance Images. 1-5 - Md. Bipul Hossain, Na Gong, Mohamed Shaban:
SACA: Sub-Sampling Aware Channel Attention for Efficient Semantic Segmentation Model Compression. 1-5 - Jakob Krogh Petersen, Valdemar Licht, Mads Nielsen, Asbjørn Munk:
Revisiting Clip: Efficient Alignment of 3D MRI and Tabular Data Using Domain-Specific Foundation Models. 1-5 - Siwei Mai, Ali E. Haddad, Laleh Najafizadeh:
Uncovering Spatiotemporal Differences in Cortical Activity Corresponding to two Tasks Using Data-Driven ADASSO Algorithm. 1-4 - Jiaju Huang, Shaobin Chen, Xinglong Liang, Yue Sun, Menghan Hu, Tao Tan:
All-in-One Multi-Organ Segmentation in 3D CT Images via Self-Supervised and Cross-Dataset Learning. 1-5 - Raffaele Mineo, Giovanni Bellitto, Federica Proietto Salanitri, Rutger Hendrix, Ulas Bagci, Daniela Giordano, Concetto Spampinato, Simone Palazzo:
Conditional Visuo-Textual Prompt Learning for Medical Image Analysis. 1-5 - Emma Sarfati, Alexandre Bône, Marc-Michel Rohé, C. Aubé, M. Ronot, Pietro Gori, Isabelle Bloch:
Guiding the Classification of Hepatocellular Carcinoma on 3D CT-Scans Using Deep and Handcrafted Radiological Features. 1-5 - Sema Athamnah, Selin Aviyente:
Brain Fingerprinting-Based Community Structure. 1-4 - Tianli Tao, Ziyang Wang, Han Zhang, Theodoros N. Arvanitis, Le Zhang:
DiffKAN-Inpainting: KAN-Based Diffusion Model for Brain Tumor Inpainting. 1-4 - Linglong Wu, Xuhao Shan, Ruiquan Ge, Ruoyu Liang, Chi Zhang, Yonghong Li, Ahmed Elazab, Huoling Luo, Yunbi Liu, Changmiao Wang:
TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis from Imaging, Clinical, and Radiomic Data Fusion. 1-5 - Emil Mededovic, Valdy Laurentius, Yuli Wu, Marcin Kopaczka, Zhu Chen, Mareike Schulz, René Tolba, Johannes Stegmaier:
No Free Lunch in Annotation Either: An Objective Evaluation of Foundation Models for Streamlining Annotation in Animal Tracking. 1-5 - Joshua Omolegan, Pak-Hei Yeung, Madeleine K. Wyburd, Linde S. Hesse, Monique C. Haak, Ana I. L. Namburete, Nicola K. Dinsdale:
Exploring Test Time Adaptation for Subcortical Segmentation of the Fetal Brain in 3D Ultrasound. 1-5 - Minheng Chen, Chao Cao, Tong Chen, Yan Zhuang, Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Tianming Liu, Dajiang Zhu:
Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of Cortical Folding Patterns. 1-5 - Mingtian Liu, Nima Hatami, Laura Mechtouff, Tae-Hee Cho, Carole Lartizien, Carole Frindel:
Fusion of Dwi Image and Clinical Variables for Stroke Outcome Prediction Using Tabular Transformer. 1-5 - Chinmay Gupta, Subhamoy Mandal:
Optimizing Residual Networks for Cervical Cancer Screening: A Study on the Pap Smear Cell Classification Challenge. 1-4 - Paul Jurß, Tobias Knopp, Björn Busse, Felix N. von Brackel, Marija Boberg:
Optimization-Based Motion Estimation in HR-PQCT. 1-4 - Jiaxin Yue, Jianwei Zhang, Lujia Zhong, Yonggang Shi:
Tau Pet Harmonization via Surface-Based Diffusion Model. 1-5 - Nam-Khanh Tran, Dac-Phu Phan-Le, Minh-Triet Tran, Hai-Dang Nguyen:
Human-in-the-Loop Semi-Supervised Uterine Cervix Ultrasound Image Segmentation. 1-5 - Jiajing Zhang, Haotian Guan, Wei-Ning Lee:
ASAM: Anatomy-Encoded Segment Anything Model for Medical Images. 1-5 - Divyanshu Malik, Xiwei Xuan, Kwan-Liu Ma:
Towards Interactive 3D Surgical Scene Reconstruction: An Incremental Training and Monitoring Framework. 1-4 - Manh Duong Nguyen, Nguyen Dang Huy Pham, Phi Le Nguyen, Minh N. Do:
A Semi-Supervised Learning Framework with Cross-Magnification Attention for Glioma Mitosis Classification. 1-4 - Raphael Reme, Alasdair Newson, Elsa D. Angelini, Jean-Christophe Olivo-Marin, Thibault Lagache:
SINETRA: A Versatile Framework for Evaluating Single Neuron Tracking in Behaving Animals. 1-5 - Pranav Jeevan, Neeraj Nixon, Abhijeet Patil, Amit Sethi:
Evaluation Metric for Quality Control and Generative Models in Histopathology Images. 1-4 - Zhe Huang, Xiaowei Yu, Benjamin S. Wessler, Michael C. Hughes:
Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis. 1-5 - Juntao Jiang, Yali Bi, Chunlin Zhou, Yong Liu, Jiangning Zhang:
Semi-Cervixseg: A Multi-Stage Training Strategy for Semi-Supervised Cervical Segmentation. 1-5 - Tuan D. Pham:
Class Fusion of Support Vector Machines with Deep Learning Features for Oral Cancer Histopathology Classification. 1-4 - Badhan Mazumder, Lei Wu, Vince D. Calhoun, Dong Hye Ye:
Genetics Encoded Joint Embedding of Multimodal Connectomes with Explainable Graph Neural Network for Schizophrenia Classification. 1-5 - Muhammad F. A. Chaudhary, Stephanie M. Aguilera, Arie Nakhmani, Joseph M. Reinhardt, Surya P. Bhatt, Sandeep Bodduluri:
Uncertainty-Aware Test-Time Adaptation for Inverse Consistent Diffeomorphic Lung Image Registration. 1-5 - Zhonghao Yan, Zijin Yin, Tianyu Lin, Xiangzhu Zeng, Kongming Liang, Zhanyu Ma:
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation. 1-5 - Sebastian Merino, Adriana Romero, Roberto J. Lavarello, Andres Coila:
Multi-Frequency Regularized Approach for Simultaneous Estimation of the Acoustic Nonlinearity Parameter and Attenuation Coefficient. 1-4 - M. Abbas, Gustavo Andrade-Miranda, Vincent Jaouen, Vincent Bourbonne, J. Bert, Dimitris Visvikis, Bogdan Badic, Pierre-Henri Conze:
Instance-Aware Deep Learning for Liver Metastasis Segmentation. 1-5 - Yuexi Du, Jiazhen Zhang, Tal Zeevi, Nicha C. Dvornek, John A. Onofrey:
SRE-CONV: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification. 1-5 - Xingkuo Zhang, Hongjun Wu, Ren Chunxia, Yonggang Zhu, Le Feng, Li Xiao:
Multi-Scale Boundary Enhanced Pseudo Label Refinement for Semi-Supervised Medical Image Segmentation. 1-5 - Ravi Kant Gupta, Shounak Das, Ardhendu Sekhar, Amit Sethi:
Scalable Whole Slide Image Representation Using K-Means Clustering and Fisher Vector Aggregation. 1-4 - Jiehyun Kim, Kevin Wang, Yu Sakai, Youxiang Zhu, Andrew C. Hu, Huy Q. Phi, Nathan Arnett, Grace J. Wang, Brett L. Cucchiara, Jae W. Song, Daniel Haehn:
Automatic Segmentation of Calcified Plaque in Carotid Arteries. 1-5 - Yanjun Lyu, Jing Zhang, Lu Zhang, Tong Chen, Xiaowei Yu, Minheng Chen, Yan Zhuang, Chao Cao, Tianming Liu, Dajiang Zhu:
Ca-vqvae: Cortical Folding Aware Numerical Representation of White-Matter Structure. 1-5 - Prerna Singh, Ammar Hoori, Sadeer Al-Kindi, Sanjay Rajagopalan, David L. Wilson:
Topological Image Analysis of Coronary Calcifications for Improved Cardiovascular Risk Prediction from Screening Non-Contrast CT. 1-5 - Qiang Li, Jingyu Liu, Vince D. Calhoun:
Correlation of Correlation Networks: High-Order Interactions in the Topology of Brain Networks. 1-4 - Yi Pan, Hanqi Jiang, Junhao Chen, Yiwei Li, Huaqin Zhao, Yifan Zhou, Peng Shu, Zihao Wu, Zhengliang Liu, Dajiang Zhu, Xiang Li, Yohannes Abate, Tianming Liu:
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis. 1-5 - Duong-Hung Pham:
Leveraging Autoencoder Neural Networks to Improve Microbubble Detection and Localization in Ultrasound Localization Microscopy. 1-4 - Abdoljalil Addeh, Yousif Al Khoury, Biniyam Kahsay Mezgebo, Susanne Schmid, G. Bruce Pike, M. Ethan MacDonald:
Reconstructing Heart Rate Variation from Bold-FMRI Using 1D-CNN and GRU Networks with Dynamic Functional Connectivity-Based ROIs. 1-5 - Fatemeh Javadian, Zahra Aminparast, Johannes Stegmaier, Abin Jose:
Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images. 1-5 - Pranav Singla, Shobhit Aggarwal, Sahil Khan, Kshitij Jadhav:
SLIM-UAM - Semi-Supervised Learning In Medical Imaging: Uncertainty-Attention Model. 1-4 - Luca Lumetti, Vittorio Pipoli, Kevin Marchesini, Elisa Ficarra, Costantino Grana, Federico Bolelli:
Accurate 3D Medical Image Segmentation with Mambas. 1-5 - Huyen Le, Khiet Dang, Tien Lai, Nhung Nguyen, Mai Tran, Hieu Pham:
SarcNet: A Novel AI-Based Framework to Automatically Analyze and Score Sarcomere Organizations in Fluorescently Tagged HIPSC-CMS. 1-5 - Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz:
Ensemble Learning for Microbubble Localization in Super-Resolution Ultrasound. 1-5 - Bishal Thapaliya, Esra Akbas, Ram Sapkota, Bhaskar Ray, Vince D. Calhoun, Jingyu Liu:
SELF-Clustering Graph Transformer Approach to Model Resting State Functional Brain Activity. 1-5 - Pingjun Chen, Maria E. Salvatierra, Alejandra Serrano, Karina Pinao Gonzalez, Sara Ranjbar, Yasin Shokrollahi, Tanishq Gautam, Leticia Rodriguez, Patient Mosaic Team, Xiaoxi Pan, Luisa M. Solis Soto, Yinyin Yuan:
Optimizing Cell Recognition in Sarcoma Multiplex Immunohistochemistry Images via Pre-Training Strategies. 1-5 - Yaopeng Peng, Danny Z. Chen, Milan Sonka:
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition. 1-5 - Anubhav Anand, Sruthi Acharya, Claudia Mazo:
Identifying Brain Strokes by Image Analysis Using Transfer Learning. 1-4 - Bin Duan, Yuzhang Shang, Dawen Cai, Yan Yan:
Online Multispectral Neuron Tracing. 1-5 - Haowen Deng, Zihao Zhu, Kaidong Wang, Xinyi Cai, Yitian Tao, Haifeng Tang, Zuozhen Lan, Lin Zhang, Mingwen Yang, Jungang Liu, Jiayu Zhu, Han Zhang:
MoAR-Diff: Controlled Diffusion Model for Infant Brain MR Motion Artifact Reduction. 1-4 - Xinyang Liu, Pengfei Guo, Daniel Capellán-Martín, Zhifan Jiang, Holger R. Roth, Austin Tapp, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru:
Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map. 1-5 - Israa Sharaby, Ahmed Alksas, Hossam Magdy Balaha, Ali Mahmoud, Mohammed Badawy, Mohamed Abou El-Ghar, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz:
Utilizing Shape-features and GAN-Based Model for Renal Segmentation in DW-MRI. 1-5 - Nagur Shareef Shaik, Teja Krishna Cherukuri, Vince D. Calhoun, Dong Hye Ye:
Multi-Modal Imaging Genomics Transformer: Attentive Integration of Imaging with Genomic Biomarkers for Schizophrenia Classification. 1-5 - Jorge García-Torres, Øyvind Meinich-Bache, Siren Rettedal, Kjersti Engan:
AI-Based Thermal Video Analysis in Privacy-Preserving Healthcare: A Case Study on Detecting Time of Birth. 1-5 - Sharif A. Kamran, Molly V. Lucas, Brendon Lutnick, Chaitanya Parmar, Basudha Pal, Asha Patel Shah, David Apfel, Steven Fakharzadeh, Lloyd Miller, Stephen S. F. Yip, Kristopher Standish, Gabriela Oana Cula:
PSO-NET: Development of an Automated Psoriasis Assessment System Using Attention-Based Interpretable Deep Neural Networks. 1-5 - Yinzhe Wu, Jiahao Huang, Fanwen Wang, Mengze Gao, Congyu Liao, Guang Yang, Kawin Setsompop:
Enhancing Diffusion-Weighted Images (DWI) for Diffusion MRI: Is it Enough without Non-Diffusion-Weighted B=0 Reference? 1-4 - Michelle Su, Cemre Ariyurek, Serge Vasylechko, Onur Afacan, Sila Kurugol:
Optimizing Respiratory Phase Binning for Improved Motion Correction in Abdominal Diffusion-Weighted MRI. 1-5 - Wenjin Zhong, Cong Cong, Ghasem Azemi, Mehnaz Tabassum, Antonio Di Ieva, Sidong Liu:
Multi-Sequence MRI to Multi-Tracer Pet Generation via Diffusion Model. 1-4 - Haotian Jiang, Jiangdong Cai, Mengjie Xu, Yu Fang, Lichi Zhang, Qian Wang:
Ensemble of Foundation Models for Pap Smear Cell Analysis. 1-4 - Shrimanti Ghosh, Geetika Vadali, Ayush Singh, Yuyue Zhou, Banafshe Felfeliyan, Assefa Seyoum Wahd, Jessica Knight, Mahesh R. Panicker, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan:
Shoulder Rotator Cuff Tear Detection from Ultrasound Videos Using Deep Reinforcement Learning. 1-4 - Nithin Gopalakrishnan Nair, Vibashan Vishnukuamr Sharmini, Vishal M. Patel:
Diffusion-Derep: Removing Sample Replication During Diffusion Inference. 1-5 - Samuel J. Simons, Bartlomiej W. Papiez:
SpineFM: Leveraging Foundation Models for Automatic Spine X-Ray Segmentation. 1-4 - Buddhadev Goswami, Sahil Sudhakar, Saurabh R. Nagar, Nirmal Punjabi, Ravindra D. Gudi:
OPMD Classification using a Mixture of Experts Framework. 1-4 - Shun Lyu, Antoine Simon, Miguel Castro, Giuseppe Evangelista, Amedeo Anselmi, Pascal Haigron:
Mitral Valve Deep Learning Localization in CT Scans for MIMVR Surgery. 1-5 - Charles Bricout, Kang Ik Kevin Cho, Michael Harms, Ofer Pasternak, Carrie E. Bearden, Patrick D. McGorry, Rene S. Kahn, JM Kane, B. Nelson, Scott W. Woods, Martha Elizabeth Shenton, Sylvain Bouix, Samira Ebrahimi Kahou:
Improving Quality Control of MRI Images Using Synthetic Motion Data. 1-4 - Vasileios Magoulianitis, Jiaxin Yang, Catherine A. Alexander, C.-C. Jay Kuo:
RadHop-Net: A Lightweight Radiomics-to-Error Regression for False Positive Reduction in MRI Prostate Cancer Detection. 1-5 - Akul Sharma, Rachael Garner, Alexandra Somodi, Vishnu Kadaba, Akhil Pullela, Paul M. Vespa, Dominique Duncan:
Superficial White Matter Microstructure Alterations in the Right Temporal Lobe Associated with Post-Traumatic Epilepsy. 1-5 - Clemens Karner, Janek Gröhl, Ian Selby, Judith Babar, Jake Beckford, Thomas R. Else, Timothy J. Sadler, Shahab Shahipasand, Arthikkaa Thavakumar, Michael Roberts, James H. F. Rudd, Carola-Bibiane Schönlieb, Jonathan R. Weir-McCall, Anna Breger:
Parameter Choices in Haarpsi for IQA with Medical Images. 1-5 - Stephen Lloyd-Brown, Susan T. Francis, Caroline Hoad, Penny A. Gowland, Karen J. Mullinger, Andrew P. French, Xin Chen:
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation. 1-5 - Mark C. Eid, Pak-Hei Yeung, Madeleine K. Wyburd, João F. Henriques, Ana I. L. Namburete:
Rapidvol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans. 1-5 - Gihyeon Kim, Fangxu Xing, Hyoun-Joong Kong, Emiliano Santarnecchi, Helen A. Shih, Thomas Bortfeld, Georges El Fakhri, Xiaofeng Liu, Jang Hwan Choi, Jonghye Woo:
Overall Survival Prediction of Brain Tumor Patients with Multimodal MRI using Swin Unetr. 1-5 - Ruiwen Ding, Lin Li, Rajath Soans, Tosha Shah, Radha Krishnan, Marc Alexander Sze, Sasha Lukyanov, Yash Deshpande, Antong Chen:
Predicting Ulcer in H&E Images of Inflammatory Bowel Disease Using Domain-Knowledge-Driven Graph Neural Network. 1-5 - Tanya Gatsak, Kumar Abhishek, Hanene Ben Yedder, Saeid Asgari Taghanaki, Ghassan Hamarneh:
Disentangled PET Lesion Segmentation. 1-4 - Kazi Ramisa Rifa, Jie Zhang, Abdullah Al Zubaer Imran:
Swin-Kat: Advancing Swin Transformer with Kolmogorov-Arnold Network for CT Image Quality Assessment. 1-4 - Miguel Heredia Conde, Venkata Veerendranadh Chebrolu, Peter Vouras:
Magnetic Resonance Image Quality Metrics Based on Sparse Dictionary Learning. 1-5 - Qiuting Hu, Li Lin, Pujin Cheng, Xiaoying Tang:
UniCurvSeg: Learning Contextual Prompt for Universal Vessel-Like Curvilinear Structure Segmentation. 1-5 - Xinyi Wang, Kunze Wang, Zihao Tang, Mariano Cabezas, Chenyu Wang, Tom Weidong Cai:
UFREE: Unified Fiber Orientation Distribution Resolution Enhancement. 1-5 - Pengcheng Lei, Jiarui Xing, Faming Fang, Frederick H. Epstein, Miaomiao Zhang:
DENSE-Guided Deep Motion Networks Accounted by Large Rotations to Improve Myocardial Strain Analysis from Routine Cine MRI. 1-5 - Qiang Li, Vince D. Calhoun, Shiva Mirzaeian, Armin Iraji:
The Dynamics of Triple Interactions in Resting FMRI: Insights Into Psychotic Disorders. 1-4 - Bar Yaacovi, Jacob Goldberger:
Source Free Domain Adaptation with Pseudo-Labeling Quality Assessed by Sam in Fundus Image Segmentation. 1-5 - Fengze Li, Jishuai He, Jieming Ma, Zhijing Wu:
Real-Time Spatio-Temporal Reconstruction of Dynamic Endoscopic Scenes with 4D Gaussian Splatting. 1-5 - Xiaofeng Liu, Yongsong Huang, Thibault Marin, Yanis Chemli, Samira Vafay Eslahi, Amal Tiss, Keith A. Johnson, Georges El Fakhri, Jinsong Ouyang:
Dual Prompting for Diverse Count-Level Pet Denoising. 1-5 - Shuai Xu, Rui Jin, Seung-Jun Kim, Vince D. Calhoun, Tülay Adali:
Multiset FMRI Data Analysis with Subject Group Information using Structured Dictionary Learning. 1-4 - Suma Anand, Kaiwen Xu, Colm O'Dushlaine, Sumit Mukherjee:
Synthesizing Proton-Density Fat Fraction and $R_2^{\ast}$ from 2-Point Dixon MRI with Generative Machine Learning. 1-5 - Yu Ding, Matthew S. Tong, Parker Martin, Yu Kang, Nikita Nair, Yuchi Han, Orlando P. Simonetti:
Reference-Free 2D-to-3D Multiple Slice Transport Average Registration (MSTAR) for Late Gadolinium Enhancement Cardiac MRI. 1-5 - Alicia Milloz, Jacob Vogel, Anders Olsen, James C. Pang, Olof Strandberg, Toomas Erik Anijärv, Erik Stomrud, Sebastian Palmqvist, Nicola Spotorno, Rik Ossenkoppele, Dimitri Van De Ville, Oskar Hansson, Hamid Behjat:
Multiscale Quantification of Hemispheric Asymmetry in Cortical Maps Using Geometric Eigenmodes. 1-5 - Ling Yang, Zhanyu Wang, Zhenghao Chen, Xinyu Liang, Luping Zhou:
Medxchat: A Unified Multimodal Large Language Model Framework Towards CXRS Understanding and Generation. 1-5 - Lena Heinemann, Alexander Jaus, Zdravko Marinov, Moon S. Kim, Maria Francesca Spadea, Jens Kleesiek, Rainer Stiefelhagen:
LIMIS: Towards Language-Based Interactive Medical Image Segmentation. 1-5 - Ranhao Zhang, Mingtao Huang, Tianyuan Li, Xueming Li, Yuan Shen:
Specimen Thickness and Tilt Offset Determination for Cryo-Electron Tomography from a Hypothesis Testing and Optimization Perspective. 1-4 - Zaiyang Guo, Ningjun J. Dong, Harold Litt, Natalie Yushkevich, Melanie Freas, Jessica Nunez, Victor Ferrari, Jilei Hao, Shir Goldfinger, Matthew A. Jolley, Joseph E. Bavaria, Nimesh D. Desai, Alison M. Pouch:
Towards Patient-Specific Surgical Planning for Bicuspid Aortic Valve Repair: Fully Automated Segmentation of the Aortic Valve in 4D CT. 1-5 - Zhen Yuan, Matthias C. Schabel, Anna L. David, Victoria HJ Roberts, Andrew Melbourne:
The Effect of Deep Learning Segmentation on Placental T2* Estimation. 1-5 - Arbab Sufyan, Mohammad Faizal Ahmad Fauzi, Lai-Kuan Wong:
M3-Net: A Multi-Scale Nuclei Segmentation Model for Breast Cancer Histopathology Using Contextual Patches and Attention Mechanism. 1-4 - Alexander Brehmer, Jan Egger, Jens Kleesiek:
Evaluating Data Augmentation Strategies for Robust Cross-Dataset Generalization in Wound Classification. 1-4 - Yik San Cheng, Runkai Zhao, Heng Wang, Hanchuan Peng, Yui Lo, Yuqian Chen, Lauren J. O'Donnell, Weidong Cai:
Dineuro: Distilling Knowledge from 2D Natural Images via Deformable Tubular Transferring Strategy for 3D Neuron Reconstruction. 1-5 - Mariella Kast, Mykhaylo Zayats, Shayan Shafiee, Sergiy Zhuk, Jan S. Hesthaven, Amit Joshi:
Leveraging Contrast Agent Kinetics for Robust Reflectance Mode Fluorescence Tomography. 1-5 - Jaeyoung Cho, Aditya Rastogi, Jingyu Liu, Kai Schlamp, Philipp Vollmuth:
OHIF -SAM2: Accelerating Radiology Workflows with Meta Segment Anything Model 2. 1-5 - Jeanne Boyer-Chammard, Yinzhe Wu, Chenyu Zhang, Sharon Jewell, Anthony J. Strong, Guang Yang, Martyn G. Boutelle:
Spreading Depolarization Detection in Electrocorticogram Spectrogram Imaging by Deep Learning: Is it Just About Delta Band? 1-4 - Pierre-Antoine Comby, Benjamin Lapostolle, Matthieu Terris, Philippe Ciuciu:
Robust Plug-and-Play Methods for Highly Accelerated Non-Cartesian MRI Reconstruction. 1-5 - Yiyao Liu, Peng Yang, Tianfu Wang, Baiying Lei:
Utilizing State Space Model for Diffusion Processes in Breast Tumor Pathological Image Super-Resolution. 1-4 - Robinson Umeike, Neil Getty, Fangfang Xia, Rick Stevens:
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension in Biomedical Image Analysis. 1-4 - Wen Yan, Qianye Yang, Shiqi Huang, Yipei Wang, Shonit Punwani, Mark Emberton, Vasilis Stavrinides, Yipeng Hu, Dean C. Barratt:
Tell2Reg: Establishing Spatial Correspondence between Images by the Same Language Prompts. 1-5 - Zhengyong Huang, Yao Sui:
Dual-Stream Pyramidal Attention Networks for Medical Image Registration. 1-5 - Lan Wei, Catherine Mooney:
Automatic Classification and Explanation of Abnormal EEGs Using Signal Images and Spectrograms. 1-4 - Avery Wang, Yangming Ou:
Automated Detection of Mitotic Figures in Glioma Tissues Using Deep Learning. 1-4 - Abdelrahman Abdallah, Mahmoud SalahEldin Kasem, Ibrahim Abdelhalim, Norah Saleh Alghamdi, Sohail Contractor, Ayman El-Baz:
CascadePLS-ViT: Cascade with Patch-Level Self-Supervised Vision Transformers for Breast Cancer Classification in Mammography. 1-5 - Joshua Freeze, Hao Wu, Ammar Hoori, Sadeer Al-Kindi, Sanjay Rajagopalan, David L. Wilson:
Segmentation of Cardiovascular Structures from Screening Non-contrast CT Calcium Score Images Using the Tuned CardioNC-Segmentator on Virtual CTA Images. 1-4 - Qinxuan Luo, Ge Yang:
Mfmdenoiser: Self-Supervised Denoising for Structured Noise in Fluorescence Microscopy Image Stacks Via Orthogonal Masks. 1-5 - Chia-Wen Huang, Haw Hwai, Chien-Chang Lee, Pei-Yuan Wu:
A Hierarchical Slice Attention Network for Appendicitis Classification in 3D CT Scans. 1-5 - Nicolas Basty, Gilles Rainer, E. Louise Thomas, Jimmy D. Bell, Brandon J. Whitcher:
Towards Encoding 3D Abdominal MRI Acquisitions as Neural Fields. 1-5 - Nicolas Brieu, Nicolas Triltsch, Philipp Wortmann, Dominik Winter, Shashank Saran, Marlon Rebelatto, Günter Schmidt:
Auxiliary Cyclegan-Guided Task-Aware Domain Translation from Duplex to Monoplex IHC Images. 1-5 - Luca Parolari, Andrea Cherubini, Lamberto Ballan, Carlo Biffi:
Towards Polyp Counting in Full-Procedure Colonoscopy Videos. 1-5 - Fangyijie Wang, Kathleen M. Curran, Guénolé Silvestre:
Semi-Supervised Cervical Segmentation on Ultrasound by a Dual Framework for Neural Networks. 1-5 - Amin Ghaffari, Mobina Amiri Vahid, Pedram Zaree, Kasra Mazarei Saadabadi, Mahsa Ghaffari:
Blood Flow Analysis of Subject-Specific Cerebral Arterial Tree: A Focus on the Redistribution of the Blood Flow After Occlusion. 1-5 - Jiazhen Zhang, Yuexi Du, Nicha C. Dvornek, John A. Onofrey:
Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net. 1-5 - Di Fan, Rahimeh Rouhi, Jeffrey Tanedo, Shreyash Zanjal, Sean C. L. Deoni, Marius George Linguraru, Natasha Leporé:
LF-MAMBA: A State Space Model-Based Framework for Accurate Bilateral Hippocampi Segmentation in Low-Field Pediatric MRI. 1-5 - Weiran Xia, Xin Zhang, Dan Hu, Jiale Cheng, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Individualized Trajectory Prediction of Early Developing Functional Connectivity. 1-5 - Abhishek Srivastava, Koushik Biswas, Gorkem Durak, Gulsah Ozden, Mustafa Adli, Ulas Bagci:
Is Long Range Sequential Modeling Necessary for Colorectal Tumor Segmentation? 1-5 - Shiyu Xie, Alireza Entezari, Arunava Banerjee:
A Comparative Study of Mismatch Projectors in Cone Beam CT. 1-5 - Satyaki Roy Chowdhury, Golrokh Mirzaei:
Hybridization of Attention UNet with Repeated Atrous Spatial Pyramid Pooling for Improved Brain Tumor Segmentation. 1-5 - Xiaoyan Jiang, Zhi Zhou, Hailing Wang, Guozhong Wang, Zhijun Fang:
Texlivernet: Leveraging Medical Knowledge and Spatial-Frequency Perception for Enhanced Liver Tumor Segmentation. 1-5 - Sunitha Basodi, Ross Kelly, Javier Tomas Romero, Dylan Martin, Sandeep R. Panta, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Federated Analysis of Neuroimaging Data Using Coinstac. 1-4 - Tianlin Li, Kaichen Nie, Yuru Pei:
SACL: Semantics-Aware Contrastive Learning for One-Shot Medical Image Segmentation. 1-5 - Xinya Wang, Tejas Sudharshan Mathai, Boah Kim, Ronald M. Summers:
Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation. 1-5 - Elly Konjkav, Ghada Zamzmi, Jana G. Delfino:
Forecasting Changes in the Data Characteristics of AI Models. 1-5 - Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Shandong Wu:
Longmambattn: A Novel Architecture for Enhanced Breast Cancer Risk Prediction Using Variable-Length Longitudinal Mammograms. 1-5 - Teng Cheng, Zhenghua Guan, Junlong Qu, Jiaqiang Li, Baiying Lei, Xuegang Song:
Age Knowledge Guided CNN-Transformer Network for Alzheimer's Disease Diagnosis. 1-4 - Étienne Lescarbeault, Lama Seoud:
Breast Cancer Detection from Thermal Images Using Asymmetries in Learned Texture Vectors. 1-5 - Tal Zeevi, Lawrence H. Staib, John A. Onofrey:
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout. 1-5 - Ishani DasGupta, Nilanjan Ray, Kumaradevan Punithakumar:
A Comparison of Deep Learning Models for Automatic Left-Ventricular Segmentation in 3D Echocardiography. 1-5 - Daniya Najiha Abdul Kareem, Jean Lahoud, Mustansar Fiaz, Amandeep Kumar, Hisham Cholakkal:
Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets. 1-5 - Jingwen Cong, Kumaradevan Punithakumar, Lixin Tang, Michelle Noga:
Adaptive Collaborative Learning Polyp Segmentation Framework Based on Contour-Driven Parallel Attention Network. 1-5 - Josué Martínez-Martínez, Olivia Brown, Jun Bai, Sheida Nabavi:
Robust Training of Deep Learning Models for Mammogram Classification. 1-4 - Xudong Yan, Mingze Yuan, Yao Lu, Ying Zhang, Zifan Chen, Peng Bao, Zehua Li, Bin Dong, Li Yang, Li Zhang, Fangxu Zhou:
Versatile Stain Transfer in Histopathology Using a Unified Diffusion Framework. 1-5 - Zeyu Zhang, Yuanshen Zhao, Jingxian Duan, Yaou Liu, Dong Liang, Zhi-Cheng Li:
Drop and Align: Fusing Pathology and Genomics via Graph Learning for Cancer Survival Prediction. 1-5 - Jiayi Zhang, Yuchen Tian, Bofan Song, Eung-Joo Lee:
Multimodal Learning for Enhanced Detection in Oral Cancer Screening. 1-5 - Bahareh Morovati, Shuo Han, Li Zhou, Dayang Wang, Hengyong Yu:
Photon-Counting CT Reconstruction Using Separable Attention-Based Tensor Neural Network Prior. 1-4 - Lidan Fu, Binchun Lu, Lingbing Li, Xiaojing Shi, Jie Tian, Zhenhua Hu:
XAI-PSSGAN: Perception-Enhanced Spectrum Shift Generative Adversarial Network with Explainable AI System for NIR-II Fluorescence Molecular Imaging. 1-4 - Sahar A. Mohammed, Siyavash Shabani, Muhammad Sohaib, Corina Nicolescu, Mary Helen Barcellos-Hoff, Bahram Parvin:
Logsage: Log-Based Saliency for Guided Encoding in Robust Nuclei Segmentation of Immunofluorescence Histology Images. 1-5 - Akhila Krishna K, Nikhil Cherian Kurian, Abhijeet Patil, Amruta Parulekar, Pranav Jeevan, Amit Sethi:
Pathogen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images. 1-4 - Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro:
Explainable Brain Age Gap Prediction in Neurodegenerative Conditions Using Covariance Neural Networks. 1-5 - Edward Gaibor, Shruti Varade, Rohini Deshmukh, Tim Meyer, Mahsa Geshvadi, Sanghyuk Kim, Vidhya Sree Narayanappa, Daniel Haehn:
Boostlet.Js: Medical Image Processing Plugins for the Web via Javascript Injection. 1-5 - Andrew Wang, Mike Davies:
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance. 1-4 - Justin Namuk Kim, Tao Hu, Hao Wu, Mohamed H. E. Makhlouf, Neda Shafiabadi Hassani, Ammar Hoori, Juhwan Lee, David L. Wilson:
Improved C-Index and Interpretability with KAN as Compared to COX: Application to Risk Prediction of Major Adverse Cardiovascular Events from CT Calcium Score. 1-5 - Disi Lin, Linus Hägg, Eddie Wadbro, Martin Berggren, Tommy Löfstedt:
Structured Regularization Using Approximate Morphology for Alzheimer's Disease Classification. 1-4 - Tianwang Xun, Ruiyu Li, Lei Su, Junxian Wu, Di Dong, Wenting Shang, Lizhi Shao:
MIHCGENER: A Framework for Multiple Immunohistochemical Image Generation Based on the Combination of Pathological Foundation Model and Generative Model. 1-5 - Bhavik Kanekar, Atharv Savarkar, Ganesh Ramakrishnan, Kshitij S. Jadhav:
Integrations: Informed Subset Selection Based Generation for Medical Imaging in Resource Constrained Setting. 1-4 - Xiaowen Wang, Kun Tian, Yunmei Chen, Huafeng Liu:
Joint Reconstruction of Dynamic PET Activity and Kinetic Parametric Images Using Learnable Descent Framework. 1-5 - Payal Kamboj, Ayan Banerjee, Bin Xu, Sandeep K. S. Gupta:
Generating Customized Prompts for Zero-Shot Rare Event Medical Image Classification Using LLM. 1-5 - Philipp Endres, Valentin Koch, Julia A. Schnabel, Carsten Marr:
CellPilot: A Unified Approach to Automatic and Interactive Segmentation in Histopathology. 1-5 - Seunghwan Lee, Jiwon Son, Seungeun Lee, Ethan H. Willbrand, Benjamin J. Parker, Kevin S. Weiner, Ilwoo Lyu:
Extensive Spherical Region Enlargement with Isotropic Deformation for Sulcal Labeling. 1-5 - Natalia Dubljevic, Richard Frayne, Roberto Souza:
Generalize or Specialize? The Effect of Coil Combining in Deep Learning Based MR Image Reconstruction. 1-5 - Manna E. Philip, Anna Erenbourg, Sonit Singh, Gordon N. Stevenson, Alec W. Welsh, Arcot Sowmya:
Context-Aware LSTM for 3D Medical Image Localisation. 1-5 - Essam A. Rashed, Walayat Hussain, Mohammed Mousa, Mohammad al-Shatouri:
Automatic Generation of Brain Tumor Diagnostic Reports from Multimodality MRI Using Large Language Models. 1-5 - Vivien Kraus, Guillaume Dollé, Nathalie Bednarek, Gauthier Loron, Jonathan Beck, François Rousseau, Nicolas Passat:
Multi-Label Neonatal EEG Segmentation Enriched with Semi-Synthetic Data. 1-4 - Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Chao Cao, Tong Chen, Minheng Chen, Yan Zhuang, Tianming Liu, Dajiang Zhu:
Classiffication of Mild Cognitive Impairment Based on Dynamic Functional Connectivity using Spatio-Temporal Transformer. 1-5 - Jiale Cheng, Dan Hu, Zhengwang Wu, Xinrui Yuan, Gang Li:
Masked Momentum Contrastive Dynamic Transformer for Self-Supervised Functional Connectivity Representation Learning. 1-5 - Chenchen Fan, Liya Liu, Yuxuan Wang, Danna Li, Qinghua Liang, Ahmed Elazab, Zhou Liu, Jiahang Hu, Yuan Tian, Yongquan Zhang, Changmiao Wang:
Deep Neural Network for Lung Adenocarcinoma Subtype from Multimodal Fusion of Imaging and Clinical Data. 1-5 - Jiaqi Lv, Stefan S. Antonowicz, Shan-E-Ahmed Raza:
Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images. 1-5 - Quang Luong Nhat Nguyen, Ruiming Cao, Laura Waller:
Multi-Modal Deformable Image Registration Using Untrained Neural Networks. 1-5 - Mohamed Elsharkawy, Ibrahim Abdelhalim, Mohammed Ghazal, Ali Mahmoud, Harpal Sandhu, Aristomenis Thanos, Ayman El-Baz:
OCT-Trans: A Novel Transformer Backbone with Multimodal Feature Extraction in OCT-Based Retinal Disease Classification. 1-4 - Benjamin Towle, Xin Chen, Ke Zhou:
SEQSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation Using Sam. 1-5 - Ruiyue Chen, Xin Zhang, Tianyu Lin, Sijin Yu:
EMSSD: Two-Stage Model Enhancing Medical Image Segmentation Based on Stable Diffusion. 1-5 - Rina Bao, Sheng He, Ellen Grant, Yangming Ou:
AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury. 1-5 - Yosuke Yamagishi, Shouhei Hanaoka:
Cell Image Classification with Polygon-Guided Extraction for Glioma Mitosis Detection. 1-5 - Ananya Raghu, Anisha Raghu:
Metafusion: A Novel Method for Integrating Clinical Metadata with Imaging Modalities for Medical Applications. 1-5 - Lin Wang, Tianle Zhang, Miaomin Wang, Gang Wang, Guohao Chen, Zhuhui Li:
A Novel Approach to Recognising Physical Activity Intensity in Adults: Gravity-Based Acceleration Imaging with Vision Transformer. 1-4 - Antoine Dufournet, Joël Chavas, Julien Laval, Denis Rivière, Vincent Frouin, Jean-François Mangin:
Towards a Better Understanding of the Genetics of the Human Cortical Folding. 1-5 - Boyu Chen, Ameenat L. Solebo, Weiye Bao, Paul Taylor:
Medical Image Quality Assessment Based on Probability of Necessity and Sufficiency. 1-4 - Sungrae Hong, Hyeongmin Park, Young Sin Ko, Sol Lee, Bryan Wong, Mun Yong Yi:
Towards Classifying Histopathological Microscope Images as Time Series Data. 1-5 - Ying He, Qianni Zhang, Marc E. Miquel:
DAG-UNet: Dissimilarity-Aware Global Context Guided Lightweight UNet for Medical Image Segmentation. 1-5 - Daxin Shi, Yu Zou, Yi Yang:
A Novel Implementation of a Line X-Ray Source and Its Application to Computed Tomography with Linear Scan Trajectories. 1-4 - Gouranga Bala, Abhimanyu Chauhan, Amit Sethi:
BAY-MED: Bayesian Approximation for Post-Hoc Uncertainty in Medical Imaging. 1-4 - Xin Li, Wenhui Zhu, Xuanzhao Dong, Oana M. Dumitrascu, Yalin Wang:
EViT-UNET: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices. 1-5 - Manon Dausort, Tiffanie Godelaine, Maxime Zanella, Karim El Khoury, Isabelle Salmon, Benoît Macq:
Exploring Foundation Models Fine-Tuning for Cytology Classification. 1-5 - Vibashan Vishnukuamr Sharmini, Nithin Gopalakrishnan Nair, Vishal M. Patel:
MedDataset: Synthesizing Infinite Image and Segmentation Data Using Diffusion Models. 1-5 - Sushmita Sarker, Prithul Sarker, George Bebis, Alireza Tavakkoli:
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification? 1-5 - Delin An, Pan Du, Pengfei Gu, Jian-Xun Wang, Chaoli Wang:
Hierarchical Log Bayesian Neural Network for Enhanced Aorta Segmentation. 1-5 - Xuanang Xu, Tianshu Kuang, Anwei Chen, Nathan Lampen, Jungwook Lee, Xi Fang, Daeseung Kim, Hannah H. Deng, Jaime Gateno, Pingkun Yan:
Cephalometric Landmark Detection Using Graph- and Image-Aware Network with Landmark Contrastive Regularization. 1-5 - Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Kalantzopoulos, Vasileios C. Pezoulas, Nikolaos S. Tachos, George K. Matsopoulos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, Dimitrios I. Fotiadis:
Large-Scale Radiomics Analysis for Prostate Cancer Detection Harnessing Machine and Deep Learning Models. 1-4 - Mohamed Harmanani, Amoon Jamzad, Minh Nguyen Nhat To, Paul F. R. Wilson, Zhuoxin Guo, Fahimeh Fooladgar, Samira Sojoudi, Mahdi Gilany, Silvia D. Chang, Peter C. Black, Michael Leveridge, Robert Siemens, Purang Abolmaesumi, Parvin Mousavi:
CINEPRO: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops. 1-5 - Ziteng Zhou, Xinyu Huang, Langrui Zhou, Huiru Wang, Guang Li:
Breaking the Disconnection Dilemma in Class-Imbalanced Cerebrovascular Segmentation. 1-4 - Mingyue Zhao, Xiaolan Qiu, S. Kevin Zhou:
ExpTopo: Explicit Topological Modeling for Bronchus Segmentation. 1-5 - Yu-Cheng Chou, Gary Y. Li, Li Chen, Mohsen Zahiri, Naveen Balaraju, Shubham Patil, Bryson Hicks, Nikolai Schnittke, Maria Parker, David O. Kessler, Jeffrey Shupp, Cristiana Baloescu, Christopher Moore, Cynthia Gregory, Kenton W. Gregory, Balasundar Raju, Jochen Kruecker, Alvin Chen:
Ultrasound Image Synthesis Using Generative AI for Lung Consolidation Detection. 1-5 - Draga Doncila Pop, Pierre Le Bodic, Juan Nunez-Iglesias:
Needles in the Haystack-Rapid Error Detection for Cell Tracking Solutions. 1-4 - Artur Agaronyan, HyeRan Choo, Marius George Linguraru, Syed Muhammad Anwar:
Geometric Deep Learning for Automated Landmarking of Maxillary Arches on 3D Oral Scans from Newborns with Cleft Lip and Palate. 1-5 - Haifeng Tang, Luoyu Wang, Gaofeng Wu, Yifang Jia, Han Zhang:
Deep Scrubbing: A Reconstruction-Based Approach for Automatic and Adaptive fMRI Denoising. 1-4 - Yu Zhao, Longfei Han, Peiliang Huang:
Diffusion-Based Multi-Degradation Remover for Fiber Bundle Image Restoration. 1-5 - Sohaib Naim, Linda Ye, Qi Miao, Ida Sonni, Chuthaporn Surawech, Ali Bassir, Yassin Kortam, Jena N. Depetris, Steven S. Raman, Oscar J. Hines, Kyunghyun Sung:
Resection Margin Prediction in Pancreatic Ductal Adenocarcinoma: A Multi-Modal Machine Learning Approach Integrating Clinical and Computed Tomography Radiomics Data. 1-5 - Ashwini Subramanian, Laleh Najafizadeh:
Detecting Pain During Cognitive Tasks via Visibility Graphs of Cortical Signals. 1-4 - Youssef Sameh, Adham Bekhit, Mohamed Salama, Ahmed Hany, Mohamed Elbattawy, Yousef Kotp, Marwan Torki:
Generative Chained Label Propagation: A Semi-Supervised Approach for Enhanced 3D Segmentation of the Inferior Alveolar Nerve. 1-5 - Karthick Sharma, Mokeeshan Vathanakumar, Gamika Seneviratne, Sathursan Kanagarajah:
MUM: Enhancing Medical Diagnostics Through Unpaired Multimodal Data Integration. 1-5 - Sidaty El Hadramy, Nicolas Padoy, Stéphane Cotin:
Deform any Liver in Real-Time. 1-5 - Sarah J. Zou, Irene Lim, Jackson W. Foster, Garry Chinn, Hailey A. Houson, Suzanne E. Lapi, Jianghong Rao, Craig S. Levin:
Quantitative Imaging of 55CO and 18F-Labeled Tracers in a Single "Multiplexed" Pet Imaging Session. 1-5 - Charalampos Lamprou, Leontios J. Hadjileontiadis, Aamna Al Shehhi, Mohamed L. Seghier:
Improved Brain Disorder Classification in RS-FMRI via Inter-Individual Variability Characterization: A Self-Supervised Learning Approach. 1-5 - NianJiang Lv, Hui Meng, Haochen Zhao, Deqian Yang, Di Gao, Lanfang Du:
Text-Guided Cross Pseudo Supervision for Semi-Supervised Multi-Organ Segmentation in Abdominal CT Scans. 1-5 - Weijie Chen, James Wang, Alan McMillan:
Synthetic CT Generation from Time-of-Flight Non-Attenuation-Corrected PET for Whole-Body PET Attenuation Correction. 1-4 - Qinghao Liang, Brendan Adkinson, Dustin Scheinost:
Meta-Learning for Generalizable Connectome Modeling Across Heterogeneous Atlas Spaces. 1-5 - Junzhi Ning, Xiaodan Xing, Sheng Zhang, Xiao Ma, Guang Yang:
Unveiling the Capabilities of Latent Diffusion Models for Classification of Lung Diseases in Chest X-Rays. 1-5 - Koushik Bhat, Ayantika Das, Supriti Mulay, Keerthi Ram, Mohanasankar Sivaprakasam:
Medframealign: 3D Histological Reconstructions Using Video Frame Interpolation Techniques. 1-5 - Tengda Zhang, Yongtao Zhang, Yu Ren, Ao Zhang, Gege Cai, Wenzheng Hu, Yi Liu, Baiying Lei:
LWV-UNet: Lightweight Vision Transformer UNet for Nasopharyngeal Carcinoma Image Segmentation. 1-4 - Bangjun Li, Wenmiao Wang, Kemeng Tao, Yankun Cao, Yujun Li, Zhi Liu:
Enhance Cardiac MRI Reconstruction via Unfolding Network with Hybrid Mamba-LSTM. 1-5 - Yicheng Leng, Syed Muhammad Anwar, Islem Rekik, Sen He, Eung-Joo Lee:
Self-Supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis Towards Improving Autism Detection. 1-5 - Yuhui Du, Ruotong Li, Zheng Wang, Vince D. Calhoun:
A New Noisy Label Learning Method for Accurate Brain Age Prediction. 1-4 - Jinxuan Lyu, Xuhao Dong, Bin Zhang, Shengping Liu, Haifeng Wang, Dong Liang, Yihang Zhou:
VSS-SAM: Visual State Space-Enhanced SAM for 3D Medical Image Segmentation. 1-4 - David H. Hughes, Adam S. Greenberg:
Probabilistic Scaling of Multivariate Pattern Analysis Reveals Cognitive State Dynamics. 1-5 - Yongheng Sun, Mingxia Liu, Chunfeng Lian:
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation. 1-4 - Mohamed Benkhettou, Hamid Ladjal, Mohammed Haddad, Behzad Shariat:
Diaphragm-Net: 3D Full Automatic Segmentation of the Diaphragm Based on Deep Learning Methods for 3D-CT Images. 1-4 - Mohammad Reza Hosseinzadeh Taher, Junpyo Hong, Ravi Soni, Gopal Avinash:
MOSS: Learning from Multiple Organs Via Self-Supervision. 1-5 - Anoushkrit Goel, Simroop Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar:
Tractogpt: A GPT Architecture for White Matter Tract Segmentation. 1-4 - Huiyu Li, Nicholas Ayache, Hervé Delingette:
Generative Medical Image Anonymization Based on Latent Code Projection and Optimization. 1-4 - Yiran Wang, Li Xiao:
SAMDA: Leveraging SAM on Few-Shot Domain Adaptation for Electronic Microscopy Segmentation. 1-5 - Ying Zhang, Yao Lu, Xudong Yan, Zehua Li, Dapeng Wei, Li Yang, Aimin Wang, Fangxu Zhou:
VITG-VS: Preserving Spatial Heterogeneity in Virtual Staining of Renal Autofluorescence Images. 1-5 - Lizhi Zhang, Jintao Li, Zijian Tang, Mengxiang Chu, Xiaowei He, Hongbo Guo:
A Gate Recurrent Unit Based Convolutional Neural Network Approach for Pharmacokinetic Parameter Reconstruction. 1-4 - Prerana Bajracharya, Ram Ballem, Jiayu Chen, Pablo Andrés-Camazón, Nigar Khasayeva, Vince D. Calhoun, Jingyu Liu, Armin Iraji:
Linking Multi-Scale Brain Connectivity with Vigilance, Working Memory, and Behavior in Adolescents. 1-4 - Rekha Saha, Debbrata K. Saha, Zening Fu, Tülay Adali, Vince D. Calhoun:
Longitudinal Patterns of Functional Network Changes Over Four-Year Period Associated with Sex in the Developing Brain. 1-4 - Yiran Sun, Osama Mawlawi:
Legopet: Hierarchical Feature Guided Conditional Diffusion for Pet Image Reconstruction. 1-5 - Nihar Gupte, Ananya Chinmaya, Tanmay Jain, Sanket Potdar, Shreya Rane, Arushi Kawale, Naseera Syeda, Nimisha Sharma, Tabassum Wadasadawala, Amit Sethi:
Deep Learning-Based Cosmetic Evaluation of Breast Cancer Conservative Treatment. 1-4 - Naira Matosyan, Narek Chilingaryan, Narine Sarvazyan, Varduhi Yeghiazaryan:
Combining 4D Hyperspectral Imaging With CNN for Nerve and Ligament Differentiation. 1-5 - Ronrick Da-Ano, Olena Tankyevych, N. Lemée, I. Stamouli, G. Kagadis, T. Kalathas, K. Shi, J. Hu, H. Wang, Catherine Cheze Le Rest, Dimitris Visvikis:
Multicenter Radiomic Feature-Based Prediction of PD-L1 Status in Lung Cancer Using Multimodal PET/CT. 1-5 - Razi Mahmood, Pingkun Yan, Diego Machado Reyes, Ge Wang, Mannudeep K. Kalra, Parisa Kaviani, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Evaluating Automated Radiology Report Quality Through Fine-Grained Phrasal Grounding of Clinical Findings. 1-5 - Roman Stoklasa:
Image Harmonization Using Robust Restricted CDF Matching. 1-5 - Roshan Kenia, Fin Amin, Benjamin W. Roop, Laura J. Brattain, Brian S. Eastwood, Matthew G. Fay, Charles R. Gerfen, Jacob R. Glaser, Lars A. Gjesteby:
Topology-Preserving Deep Supervision for 3D Axon Centerline Segmentation Using Partially Annotated Data. 1-5 - Yan Chen, Jyothi Rikhab Chand, Steve R. Kecskemeti, James H. Holmes, Mathews Jacob:
Accelerating Quantitative MRI Using Subspace Multiscale Energy Model (SS-MuSE). 1-5 - Ahmed AL Qurri, Afnan Alqarni, Mohamed Almekkawy:
Trifuse: Triplet Encoders Network for Medical Image Segmentation. 1-5 - Jiankai Wu, Zhongxue Wu, Jianzhong He, Qingrun Zeng, Zan Chen, Yuanjing Feng, Jianan Cui:
PET Partial Volume Correction Based on Unsupervised Deep Residual Compensation Model. 1-4 - Haoyang Li, Yiwen Hu, Jun Wei, Zhen Li:
MARIO: A Mixed Annotation Framework for Polyp Segmentation. 1-4 - Santiago Posso Murillo, Luis G. Sánchez Giraldo, Jihye Bae:
Semantic Reconstruction from Fnirs Using Recurrent Neural Networks. 1-5 - Yee-Fan Tan, Pei-Sze Tan, Fuad Noman, Raphael C.-W. Phan, Hernando Ombao, Chee-Ming Ting:
Connectome-GTC: A Unified Framework for Brain Functional and Structural Connectomes Generation, Translation, and Classification. 1-5
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