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ORCID21st ISBI 2024: Athens, Greece
- IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024. IEEE 2024, ISBN 979-8-3503-1333-8
- Maryam Akhavan Aghdam
, Serdar Bozdag, Fahad Saeed:
Pvtad: Alzheimer's Disease Diagnosis Using Pyramid Vision Transformer Applied to White Matter of T1-Weighted Structural Mri Data. 1-4 - Yuqiao Yang, Ze Jin, Fumihiko Nakatani, Mototaka Miyake, Kenji Suzuki:
"Small-data" Patch-wise Multi-dimensional Output Deep-learning for Rare Cancer Diagnosis in MRI under Limited Sample-size Situation. 1-4 - Zhenghua Guan, Xuegang Song, Peng Yang, Jiaqiang Li, Bao Yang, Xiaohua Xiao, Chuanming Liu, Tianfu Wang, Baiying Lei:
Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification. 1-5 - Perrine Marsac, Thomas Wallet, Alban Redheuil, Moussa Gueda, Vincent Nguyen, Etienne Charpentier, Nadjib Hammoudi, Emilie Bollache, Nadjia Kachenoura:
Left Atrial Geometry and Hemodynamics Quantified from 4D Flow MRI in Primary Mitral Regurgitation. 1-4 - Albi Domi, David Barreto, Enrie Gan, Lihini Ranaweera, Austin Vu, Jianna Kim, Jesica Jojo, Carlos Mendez Cruz, Cindy Li, Makayla Clark, Frank Pham, Thamarie Pinnaduwage, Vachan Patel, Yuanyuan Chen, Dev Gupta, Amber Lan, Nilan Nandish, Christiana Cottrell, Lily Tang, Ethan P. Truong, Victoria Seo, Amaan Kazi, Eva Gonzalez-Whitehouse, Rasleen Grewal, Elaina Truong, Carmela Jenckes, Sarem Khan, Harry Shi, Anika Basu, Aarush Sahni, Sandhya Konar, Justin Lin, Chamith Rajapakse:
Automated Mr Lumbar Vertebrae Analysis: 3D U-Net and Finite Element Analysis for Precise Segmentation and Robust Bone Strength Assessment. 1-4 - Ben P. Veasey, Aryan Ghazipour, Tyler Settle, Emily C. Daugherty, Samuel Keltner, Nitin Kumar, James Ververs, Michael Farris, Neal Dunlap, Amir A. Amini:
Harnessing Convolutional Neural Networks for Diagnosing Post-SBRT Radiation-Induced Lung Injury From X-Ray CT. 1-5 - Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang:
Multimodal Self-Supervised Learning for Lesion Localization. 1-5 - Seunghun Baek, Jaeyoon Sim, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim:
Modality-Agnostic Style Transfer for Holistic Feature Imputation. 1-5 - Benjamin Veasey, Amir A. Amini:
Parameter-Efficient Fine-Tuning of DINOV2 Vision Transformers for Lung Nodule Classification. 1-5 - Yongcheng Zong, Changhong Jing, Jonathan H. Chan, Shuqiang Wang:
BrainNetDiff: Generative AI Empowers Brain Network Construction Via Multimodal Diffusion. 1-5 - Yinghao Zhang, Chen Zhou, Yingjiao Hu, Yue Hu:
Deep Image-Pass Filter for Accelerating Dynamic MRI. 1-4 - Hongmin Cai, Weiting Yi, Weitian Huang, Zhikang Wang, Yue Zhang, Jiangning Song:
A Hierarchical Hypergraph Attention Network for Survival Analysis from Pathological Images. 1-4 - Yu Lu, Roummel F. Marcia:
Sparse Signal Reconstruction for Overdispersed Low-Photon Count Biomedical Imaging Using ℓp Total Variation. 1-5 - Carlijn M. Lems, Daan J. Geijs, John-Melle Bokhorst, Maxime Sülter, Leander van Eekelen, Francesco Ciompi:
Color Deconvolution for Color-Agnostic and Cross-Modality Analysis of Immunohistochemistry Whole-Slide Images with Deep Learning. 1-4 - Dmitrii Seletkov, Simon Reiß, Alexander Freytag, Constantin Seibold, Rainer Stiefelhagen:
Style Transfer and Pseudo-Label Filtering Improve Transferability in Cell Organelle Segmentation Scenarios. 1-4 - Shubham Innani, Bhakti Baheti, MacLean P. Nasrallah, Spyridon Bakas:
Weakly Supervised IDH-Status Glioma Classification from H&E-Stained Whole Slide Images. 1-5 - Young-Min Kim, Myeong-Gee Kim, SeokHwan Oh, Guil Jung, Hyeon-Jik Lee, Hyuksool Kwon, Hyeon-Min Bae:
Quantitative Ultrasound Imaging Using Conventional Multi-Scanline Beamforming. 1-5 - Charalampos Lamprou, Leontios J. Hadjileontiadis, Mohamed L. Seghier:
Noise-Assisted Multivariate Variational Mode Decomposition on fMRI Data for Phase Synchronization Analysis. 1-4 - Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert:
Direct Cardiac Segmentation from Undersampled K-Space using Transformers. 1-4 - Tong Lin, Tianling Lyu, Zhan Wu, Yan Xi, Wentao Zhu, Yang Chen:
Full-Length-Body CBCT Imaging in Upright Position with Robotic-arm System: A Simulation Study. 1-5 - Sirui Li, Li Lin, Yijin Huang, Pujin Cheng, Xiaoying Tang:
Text-Guided Foundation Model Adaptation for Long-Tailed Medical Image Classification. 1-5 - Junayed Naushad, Irina Voiculescu:
Super-Trustscore: Reliable Failure Detection for Automated Skin Lesion Diagnosis. 1-4 - Willem J. Menu, Nikoo Dehghani, Peter H. N. de With, Fons van der Sommen:
Effect of Post-Training Pruning and Quantization on Endoscopic Computer-Aided Diagnosis Models. 1-5 - François Gaits, Nicolas Mellado, Adrian Basarab:
Ultrasound Volume Reconstruction from 2D Freehand Acquisitions Using Neural Implicit Representations. 1-5 - Md Mamunur Rahaman, Ewan K. A. Millar, Erik Meijering:
Histopathology Image Classification Using Supervised Contrastive Deep Learning. 1-5 - Liangni Hu, Yuxuan Li, Yonghao Wang, Xinjie Zeng, Lei Yu, Wenkai Lu:
CCMT: Cross Collaboration Mult-Task Network for Neonatal Hip Bone Intelligent Diagnosis. 1-5 - Sotiris Raptis, Ioannis Tsougos, Kiki Theodorou, Christos Ilioudis:
Harmonizing Radiomics and Interpretable AI: Precision and Transparency in Oncological Prognostication. 1-4 - Hien Q. Kha, Dinh-Tan Nguyen, Thinh B. Lam, Thanh-Huy Nguyen, Cao T. Tran, Manh D. Vu, Lan T. Ho-Pham, Liem Pham, Nguyen Quoc Khanh Le:
M2NET: Two-Stage Multi-Label Breast Cancer Detection Networks. 1-4 - Danfeng Guo, Demetri Terzopoulos:
Weakly Supervised Zero-Shot Medical Image Segmentation Using Pretrained Medical Language Models. 1-5 - Shahina K. Kunhimon, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan:
Language Guided Domain Generalized Medical Image Segmentation. 1-5 - Tianmeng Xu, Yanchao Huang, Tingting Ang, Shuilin Chu, Peiyin Luo, Shunfang Wang, Yufeng Zhang, Lijun Lu, Ganghua Tang, Wenbing Lv:
Difference in Uptake Pattern Heterogeneity and Reproducibility of Radiomics Features Between FAPI and FDG Pet/Ct Imaging of Tumors. 1-5 - Xingjian Luo, You Pang, Zhen Chen, Jinlin Wu, Zongmin Zhang, Zhen Lei, Hongbin Liu:
SurgPLAN: Surgical Phase Localization Network for Phase Recognition. 1-5 - Federico Raimondo, Georgios Antonopoulos, Simon B. Eickhoff, Kaustubh R. Patil:
FastGPR: Divide-and-Conquer Technique in Neuroimaging Data Shortens Training Time and Improves Accuracy. 1-4 - Ali Keshavarzi, Elsa Angelini:
Few-Shot Airway-Tree Modeling Using Data-Driven Sparse Priors. 1-5 - Takuro Shimaya, Masahiro Saiko:
Sam-Correction: Fully Adaptive Label Noise Reduction for Medical Image Segmentation. 1-4 - Haolin He, Ce Zhu, Le Zhang, Yipeng Liu, Xiao Xu, Yuqian Chen, Leo R. Zekelman, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O'Donnell, Fan Zhang:
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using DMRI Tractography. 1-5 - Huiyun Guo, Minjianan Zhang, Lei Du:
A Bayesian Group Sparse Canonical Correlation Analysis Method for Brain Imaging Genomics. 1-5 - Oier Lauzirika Zarrabeitia, E. Ramírez-Aportela, José María Carazo, Carlos Oscar Sánchez Sorzano:
Fast Global Image Alignment Algorithm for CryoEM through Vector Compression. 1-4 - Paul Terrassin, Mickael Tardy, Nathan Lauzeral, Nicolas Normand:
Weakly-Supervised End-to-End Framework for Pixel-Wise Description of Micro-Calcifications in Full-Resolution Mammograms. 1-5 - Josué Ruano, Diego Bravo, Diana Giraldo, Martín Gómez, Fabio A. González, Antoine Manzanera, Eduardo Romero:
Estimating Polyp Size From a Single Colonoscopy Image Using a Shape-From-Shading Model. 1-5 - Corentin Vazia, Alexandre Bousse, Béatrice Vedel, Franck Vermet, Zhihan Wang, Thore Dassow, Jean-Pierre Tasu, Dimitris Visvikis, Jacques Froment:
Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography. 1-5 - Zhennong Chen, Hui Ren, Quanzheng Li, Xiang Li:
Motion Correction and Super-Resolution for Multi-slice Cardiac Magnetic Resonance Imaging via a Multi-stage Deep Learning Approach. 1-4 - Belén Lojo Rodríguez, Guilherme Lopes Borges, Marta López-Brea García, Anne Schützenberger, Andreas M. Kist:
Neural Radiance Fields for 3D Reconstruction in Monoscopic Laryngeal Endoscopy. 1-5 - Hongxiao Wang, Yang Yang, Zhuo Zhao, Pengfei Gu, Nishchal Sapkota, Danny Z. Chen:
Path-Gptomic: A Balanced Multi-Modal Learning Framework For Survival Outcome Prediction. 1-5 - Yibao Sun, Pindong Chen, Yong Liu, Kun Zhao:
Macroscale Brain Structural Network Coupling is Related to AD Progression. 1-4 - Mengting Huang, Thanh Nguyen-Duc, Martin Soellradl, Daniel F. Schmidt, Roland Bammer:
PADMr: Patch-Based Denoising Diffusion Probabilistic Model for Magnetic Resonance Imaging Reconstruction. 1-5 - Christian Hümmer, Ramyar Biniazan, Manasi Datar, Martin Kraus, Andreas Fieselmann, Steffen Kappler:
Improved Pectoral Muscle Segmentation in Mammograms through Regression-Based Deep Learning and Knowledge Distillation. 1-5 - Ang Li, Yongjian Zhao, Fan Bai, Jiayi Han, Max Q.-H. Meng, Li Liu:
A Zero-Shot Domain Adaptation Framework for Computed Tomography Via Reinforcement Learning and Volume Rendering. 1-5 - Mateus Sangalli, Santiago Velasco-Forero, José-Marcio Martins da Cruz, Virginie Flouret, Charlène Gayrard, Thérèse Baldeweck, Etienne Decencière:
Spatial Reasoning Loss for Weakly Supervised Segmentation of Skin Histological Images. 1-5 - Jamshid Hassanpour, Vinkle Srivastav, Didier Mutter, Nicolas Padoy:
Overcoming Dimensional Collapse in Self-Supervised Contrastive Learning for Medical Image Segmentation. 1-5 - Hariharan Ravishankar, Prasad Sudhakar, Phaneendra K. Yalavarthy:
TTA-FM: Patient-Specific Test-Time Adaptation Using Foundation Models for Improved Prostate Segmentation in Magnetic Resonance Images. 1-5 - Clément Langlet, Denis Rivière, Antoine Grigis, Vincent Frouin, Jean-François Mangin:
Structural-Connectivity-Based Individual Parcellations Improve Regional Cortical Thickness Heritability Study. 1-5 - Yih-Choung Yu, Haki Shyntassov, Padmanabh Kaushik, Lisa Gabel:
Saccadic Detection in Virtual Gaming for Dyslexia Classification. 1-4 - Abhijeet Parida, Zhifan Jiang, Roger J. Packer, Robert A. Avery, Syed Muhammad Anwar, Marius George Linguraru:
Quantitative Metrics for Benchmarking Medical Image Harmonization. 1-5 - Haofeng Li, Yiming Ouyang, Xiang Wan:
Self-Supervised Alignment Learning For Medical Image Segmentation. 1-5 - Bérangère Cournault, Luc Vedrenne, Teyagirwa Prudence Felix, Erkel Arnaud, Hattenberger Grégoire, Jmal Hamdi, Kharouf Naji, Etienne Olivier:
Optimizing Failure Mode Analysis of Dental Restorative Materials: Balancing Efficiency and Accuracy. 1-5 - Kostas Siarkos, Christos D. Katsis, Georgios Antonopoulos, Efstratios Karavasilis, Georgios Velonakis, Charalabos Papageorgiou, Nikolaos Smyrnis, Nikolaos Kelekis, Euripidis Glavas, Antonios Politis:
Late Life Depression Automated Detection by Means of Advanced Diffusion Tensor Imaging Segmentation and Artificial Intelligence. 1-4 - Qi Chen, Wei Huang, Yueyi Zhang, Zhiwei Xiong:
Domain Adaptive Synapse Detection with Weak Point Annotations. 1-5 - Ádám István Szücs, Béla Kári, Oszkár Pártos:
Continuous Max-Flow Augmentation of Self-Supervised Few-Shot Learning on Spect Left Ventricles. 1-5 - Shipeng Zhang, Jiayuan Liu, Yuchao Zheng, Guochen Ning, Zhe Zhao, Hongen Liao:
Advancing Optical Chromoendoscopy: Augmented Pseudo-Color Fusion Leveraging Feature Disparities for Superior Image Contrast. 1-5 - Ping Ye, He Li, Shaoting Zhang, Guotai Wang:
Semi-Supervised Medical Image Segmentation via Multi-Group Network with Consistency Among Heterogeneous Loss Supervision. 1-5 - Jonghun Kim, Hyunjin Park:
Radiomics-Guided Multimodal Self-Attention Network For Predicting Pathological Complete Response In Breast MRI. 1-5 - Man Minh Ho, Elham Ghelichkhan, Yosep Chong, Yufei Zhou, Beatrice Knudsen, Tolga Tasdizen:
DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading. 1-5 - Tuo Zheng, Jiaxiang Liu, Yang Feng, Junhui Lv, Zuozhu Liu:
Refined Individual Tooth Segmentation from Cone Beam CT Images. 1-5 - Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Exploring Backdoor Attacks in Off-the-Shelf Unsupervised Domain Adaptation for Securing Cardiac MRI-Based Diagnosis. 1-5 - Yang Nan, Guang Yang:
Deep Asymmetric Mixture Model for Unsupervised Cell Segmentation. 1-5 - Hangfan Liu, Bo Li, Yiran Li, John A. Detre, Ze Wang:
Adaptive Joint Data Selection for Sparsity Based Arterial Spin Labeling MRI Denoising. 1-5 - Tayeb Zaidi, Francesca Marturano, Giorgio Bonmassar, Laleh Golestanirad:
Reduction of Medical Device Heating During Mri At 1.5 T and 3 T: Design and Experimental Validation of A New Lead Construct. 1-5 - Yunzheng Zhu, Luoting Zhuang, Yannan Lin, Tengyue Zhang, Seyed Mohammad Hossein Tabatabaei, Denise R. Aberle, Ashley Prosper, Aichi Chien, William Hsu:
DART: Deformable Anatomy-Aware Registration Toolkit for Lung CT Registration with Keypoints Supervision. 1-5 - George Batchkala, Bin Li, Mengran Fan, Mark McCole, Cecilia Brambilla, Fergus Gleeson, Jens Rittscher:
Accurate Subtyping of Lung Cancers by Modelling Class Dependencies. 1-5 - Prerna Singh, Ammar Hoori, Tao Hu, David L. Wilson:
Identification of high-risk phenotypes through unsupervised clustering of clinical and CT-calcium score imaging features. 1-5 - Huanwen Liang, Leya Li, Yu Lu, Qianying Liu, Huilin Ge, Xianghua Fu:
LAGNet: Label Attention Graph Networks for Ocular Disease Classification Using Fundus Images. 1-5 - Yaying Shi, Anshuk Gottipati, Yonghong Yan:
Path-CT Image Registration with Self-Supervised Vision Transformer for Lung Cancer. 1-5 - Maneesh John, Jyothi Rikhab Chand, Mathews Jacob:
Local Monotone Operator Learning Using Non-Monotone Operators: MNM-MOL. 1-5 - Kaibo Tang, Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li:
Generation of Anatomy-Realistic 4d Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks. 1-5 - Degan Hao, Qiong Li, Yudong Zhang, Shandong Wu:
Medical Knowledge-Enabled Multi-Task Learning for Gastric Cancer Survival Prediction. 1-5 - Tal Ze'evi, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey:
Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning. 1-5 - Guanghao Sun, Lifang Si, Jialin Hou, Qi Yang, Yong Liu, Rui Hou:
Performance Assessment of Malignant Masses Detection from Diagnostic Mammography. 1-4 - Shijie Li, Palaiologos Alexopoulos, Anse Vellappally, Ronald Zambrano, Gadi Wollstein, Guido Gerig:
Self-Supervised OCT Image Denoising with Slice-to-Slice Registration and Reconstruction. 1-5 - Zhanqiang Guo, Jianjiang Feng, Jie Zhou:
Edge-Aware Vessel Segmentation Using Scribble Supervision. 1-5 - Maxence Wynen, Maxime Istasse, Pedro M. Gordaliza, Anna Stölting, Pietro Maggi, Benoît Macq, Meritxell Bach Cuadra:
Conflunet: Improving Confluent Lesion Identification In Multiple Sclerosis With Instance Segmentation. 1-5 - Alvaro A. Sandino, Olivia Krebs, David Becerra, Nelly J. Sandino, Jeffrey Helgager, Eduardo Romero, Pallavi Tiwari:
Human-in-the-Loop (HITL) Learning for Identifying Glioblastoma Hallmarks on H&E Slides. 1-4 - Hanlong Yin, Lin Tao, Yue Zhao, Jing Jin:
A Multimodal Fusion Model for Breast Tumor Segmentation in Ultrasound Images. 1-4 - Xin Lei, Zhongping Chen, Hong Liu, Juan Chen, Huanhuan Tan, Weiwei Dai, Xiangdong Wang, Heping Xu:
A Cross-Modal Feature Fusion Method to Diagnose Macular Fibrosis in Neovascular Age-Related Macular Degeneration. 1-5 - Shizhuo Li, Huihui Ye, Huafeng Liu:
CRLB-Based Optimization for Combined FISP and PSIF MR Fingerprinting. 1-5 - Shaoxuan Wu, Xiao Zhang, Ying Huang, Xia Sun, Jun Feng:
Scribble-Based Medical Image Segmentation via Shape Perturbation Consistency and Boundary Enhancement Constraint. 1-4 - Shahzad Ahmed, Jinchao Feng, Malik Abdul Manan, Muhammad Yaqub, Kebin Jia, Zhonghua Sun:
ADLER-MRI: Adaptive Deep Learning for Enhanced MRI Reconstruction with Noise-Resilient Models. 1-5 - Pengyu Dai, Yafei Ou, Yuqiao Yang, Yang Liu, Yue Zhao:
Sparse Anatomical Prompt Semi-Supervised Learning with Masked Image Modeling for CBCT Tooth Segmentation. 1-5 - Rong Wu, Dehua Li, Cong Zhang:
Semi-Supervised Medical Image Segmentation Via Query Distribution Consistency. 1-5 - Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich:
Self-Supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation. 1-5 - Selma Boudissa, Georgia Kanli, Daniele Perlo, Thomas Jaquet, Olivier Keunen:
Addressing Artefacts in Anatomical MR Images: A k-space-Based Approach. 1-5 - Xiaoyang Wei, Zografoula Vagena, Camille Kurtz, Florence Cloppet:
Integrating Expert Knowledge with Vision-Language Model for Medical Image Retrieval. 1-4 - Amine Lagzouli, Peter Pivonka, David Cooper, Vittorio Sansalone, Alice Othmani:
Dbahnet: Dual-Branch Attention-Based Hybrid Network for High-Resolution 3d Micro-Ct Bone Scan Segmentation. 1-5 - Dan Presil:
Justraigs Competition Insights: An Ensemble of Methods for Automated Referable Glaucoma Diagnosis. 1-4 - Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula:
Wavelet-Based Feature Compression for Improved Knowledge Distillation. 1-4 - Mengxian He, Minqing Zhang, Hing Lam Chang, Xiaoyi Feng, Mengdi Gao, Shuai Jiang, Wu Yuan:
SSL-ENSAM: Utilizing Sam for Semi-Supervised Retinal Vessel Segmentation with Quality-Aware Enhancement. 1-5 - Zhongnuo Yan, Tong Han, Yuhao Huang, Lian Liu, Han Zhou, Jiongquan Chen, Wenlong Shi, Yan Cao, Xin Yang, Dong Ni:
A Foundation Model for General Moving Object Segmentation in Medical Images. 1-5 - Olivier Salvado, Salamata Konate, Rodrigo Santa Cruz, Andrew P. Bradley, Judy Wawira Gichoya, Laleh Seyyed-Kalantari, Brandon J. Price, Clinton Fookes, Léo Lebrat:
Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. 1-4 - Qitai Sun, Xiao Li, Han Zhang, Chenjie Jia, Xiaowei He, Tuo Zhang, Yudan Ren:
3D-Guided Backward Iterative Structural Refinement for Histology-to-MRI Registration. 1-5 - Boqiang Huang, Jiayu Ying, Ruizhi Lyu, Nadine S. Schaadt, Barbara Mara Klinkhammer, Peter Boor, Johannes Lotz, Friedrich Feuerhake, Dorit Merhof:
Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation. 1-5 - Rajesh Langoju, Utkarsh Agrawal, Bipul Das:
Structured Noise Reduction with Texture Preservation in Low-Dose X-Ray Computed Tomography. 1-4 - Ana Sofia Castro Verde, José Guilherme de Almeida, Jorge Fonseca, Celso Matos, Raquel Cruz Conceição, Nickolas Papanikolaou:
StitchPro for Computational Pathology Stitching in Patients with Prostate Cancer. 1-4 - Bisi Bode Kolawole, Ujwala Chaudhari, Giovanni Santacroce, Irene Zammarchi, Rocío del Amor, Pablo Meseguer, Andrea Buda, Raf Bisschops, Valery Naranjo, Subrata Ghosh, Marietta Iacucci, Enrico Grisan:
Inflammation Detection Using Ensemble Endoscopic Multimodal Assessment in Inflammatory Bowel Disease. 1-4 - Dominique James, Brian Trinh, Vy Hoang, Junjie Li, Katherine Brown:
Super-Resolution Ultrasound Imaging of Tumor Angiogenesis and Evaluation of Treatment Response to a Vascular Disrupting Agent. 1-5 - Pablo Alvarez, Stéphane Cotin:
Deformable Image Registration with Stochastically Regularized Biomechanical Equilibrium. 1-5 - Yanjun Lyu, Lu Zhang, Xiaowei Yu, Chao Cao, Tianming Liu, Dajiang Zhu:
Mild Cognitive Impairment Classification Using A Novel Finer-Scale Brain Connectome. 1-5 - Chen Zhou, Yinghao Zhang, Yue Hu:
Enhancing Undersampled MRI Reconstruction Performance Via Denoising Diffusion Models. 1-4 - Zhan Heng, Maurice Pagnucco, Erik Meijering, Yang Song:
Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation. 1-4 - Adrian Galdran, Miguel Ángel González Ballester:
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images. 1-4 - Carlo Alberto Barbano, Riccardo Renzulli, Marco Grosso, Domenico Basile, Marco Busso, Marco Grangetto:
AI-Assisted Diagnosis for Covid-19 CXR Screening: from Data Collection to Clinical Validation. 1-4 - Fadillah Adamsyah Maani, Anees Ur Rehman Hashmi, Numan Saeed, Mohammad Yaqub:
On Enhancing Brain Tumor Segmentation across Diverse Populations with Convolutional Neural Networks. 1-4 - Mohamed Masoud, Pratyush Reddy, Farfalla Hu, Sergey M. Plis:
Brainchop: Advancing the Frontier of Web-Based Neuroimaging. 1-5 - Haonan Mou, Wenting Yang, Shihao Zhang, Zhaodi Pei, Ziyu Li, Xia Wu:
Hierarchical Window Attention for Motor Imagery EEG Classification. 1-5 - Daniel Brito-Pacheco, Cefa Karabag, Carlos Brito-Loeza, Panos Giannopoulos, Constantino Carlos Reyes-Aldasoro:
Relationship between Irregularities of the Nuclear Envelope and Mitochondria in HeLa Cells Observed with Electron Microscopy. 1-5 - Qixiang Ma, Antoine Lucas, Adrien Kaladji, Pascal Haigron:
Deep Supervision by Gaussian Pseudo-Label-Based Morphological Attention for Abdominal Aorta Segmentation in Non-Contrast CTS. 1-5 - Zhuoyuan Wang, Haiqiao Wang, Yi Wang:
Pyramid Attention Network for Medical Image Registration. 1-5 - Hossam Magdy Balaha, Mayada Elgendy, Ahmed Alksas, Mohamed Shehata, Norah Saleh Alghamdi, Fatma Taher, Mohammed Ghazal, Mahitab Ghoneim, Eslam Hamed, Fatma Sherif, Ahmed Elgarayhi, Mohammed Sallah, Mohamed Abdelbadie Salem, Elsharawy Kamal, Harpal Sandhu, Ayman El-Baz:
A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19. 1-4 - Steven Korevaar, Ruwan B. Tennakoon, Ricky O'Brien, Dwarikanath Mahapatra, Alireza Bab-Hadiashar:
Domain Generalization by Learning from Privileged Medical Imaging Information. 1-5 - Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song:
Meta-Transfer Learning for Few-Shot Meningioma Segmentation. 1-4 - Ming Ma, Jisui Huang, Wei Chen, Na Lei, Xianfeng Gu:
Medical Image Segmentation Using the Equivariance Under Diffeomorphisms Framework. 1-5 - Xinyi Zeng, Cheng Tang, Pinxian Zeng, Jiaqi Cui, Binyu Yan, Peng Wang, Yan Wang:
Enhancing Hybrid CNN-Transformer via Frequency-Based Bridging for Medical Image Segmentation. 1-4 - William McGough, Thomas Buddenkotte, Stephan Ursprung, Zeyu Gao, Grant Stewart, Mireia Crispin-Ortuzar:
Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography. 1-5 - Hao-Chun Yang, Ole A. Andreassen, Lars Tjelta Westlye, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers:
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping. 1-5 - Jingyi Liu, Zhaoze Sun, Qing Guo, Bing Liu, Tianyu Fu, Guolin Ma, Hong Song, Jian Yang:
Caln: Channel Attention LSTM Network for Pituitary Segmentation in Dynamic Contrast-Enhanced MRI. 1-5 - Tijmen H. de Wolf, Daria Roman, Julie Nonnekens, Ihor Smal:
Weakly Supervised 3d Image Segmentation in Fluorescence Microscopy Using Maximum Intensity Projections. 1-4 - Piumi Sandarenu, Julia Chen, Iveta Slapetova, Lois Browne, Peter H. Graham, Alexander Swarbrick, Ewan K. A. Millar, Yang Song, Erik Meijering:
Semi-Supervised Variational Autoencoder for Cell Feature Extraction In Multiplexed Immunofluorescence Images. 1-5 - Xuchen Hao, Weifang Zhu, Xinjian Chen:
RER-Net: Refractive Error Regression Network for Multi-Angle Eccentric Photorefraction Pupil Images. 1-5 - Elif Sema Balcioglu, Berkay Doner, Ekansh Sareen, Dimitri Van De Ville, Hamid Behjat:
Joint Subject-Identification and Task-Decoding From Inferred Functional Brain Graphs Via a Multi-Task Neural Network. 1-5 - Joel Joy, A. N. Madhavanunni, Gayathri Malamal, Mahesh Raveendranatha Panicker:
Towards Multi-Perspective Panoramic Ultrasound Imaging Using Low-Cost 3D Printed Track And 1D Linear Probe. 1-4 - Jing Zhang, Jingguo Dai, Zhichao Wang, Shengfeng Liu, Haotian Qian, Botao Zhao, Yu Zhang:
Individualized Brain Parcellation Using Multimodal Fusion and Graph Convolution Networks. 1-4 - Zhaoyi Xu, Donglin Gao, Shuping Li, Chung-Tse Michael Wu, Athina P. Petropulu:
Phased Array with Non-Ideal Double Phase Shifters for Multi-Target Vital Sign Monitoring. 1-4 - Sainan Zhang, Tianze Xu, Zhi Cao, Hongen Liao, Guochen Ning, Fang Chen:
Frequency-Based Temporal Analysis Network for Accurate Phase Recognition from Surgical Videos. 1-5 - Nicolás Gaggion, Enzo Ferrante, Beatriz Paniagua, Jared Vicory:
Fitting Skeletal Models via Graph-Based Learning. 1-4 - Ibrahim Abdelhalim, Y. Almalki, A. Abbas, Mohamed Elsharkawy, R. Karam, S. Alduraibi, Mohammed Ghazal, Ali Mahmoud, Sohail Contractor, Ayman El-Baz:
Twoviewdensity-Pvt: A Vision Transformer System for Accurate Bi-Rads Classification in Breast Cancer Grading From Mammogram Images. 1-4 - Song Zhou, Jie Zhang, Yiwei Wang, Huan Zhao, Xiong Cai, Chidan Wan, Han Ding:
Surgical Region of Interest Detection from Laparoscopic Images Using Boundary Fuzziness. 1-5 - Ruiwen Ding, James Brian Hall, Neil A. Tenenholtz, Kristen Severson:
Improving Mitosis Detection on Histopathology Images Using Large Vision-Language Models. 1-5 - Kerem Celikay, Karl Rohr:
Transformer-Based Neural Network for Joint Affine and Non-Rigid Registration of Temporal Live Cell Microscopy Images. 1-5 - Mengfan Wang, Guoqiang Yu:
Joint Thresholding: An Adaptive Thresholding Approach Considering The Consistency of High-Dimensional Fluorescence Imaging Data. 1-5 - Xinyu Xiong, Churan Wang, Wenxue Li, Guanbin Li:
Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations. 1-5 - Yao Lv, Junpeng Tan, Shengxian Chen, He Zhang, Wenjun Cheng, Chaoxiang Yang, Xiangming Xu, Xin Zhang:
Two-Stage Implicit Representation Reconstruction with Iterative Registration and Double-Channel Encoder for Fetal MRI. 1-5 - Christos Dimas, Vassilis Alimisis, Nikolaos K. Uzunoglu, Paul P. Sotiriadis:
A Moment-Based Weighted Block Sparse Bayesian Learning Approach for Simultaneous Dual-Layer Lung Electrical Impedance Tomography. 1-5 - Laifa Ma, Weili Lin, He Zhang, Gang Li:
Automated Fetal Brain Volume Reconstruction from Motion-Corrupted Stacks with Deep Learning. 1-5 - Sayantan Dutta, Bertrand Georgeot, Jérôme Michetti, Adrian Basarab, Denis Kouamé:
Unsupervised Physics-Inspired Deep Learning Network with Application to Dental Computed Tomography Image Restoration. 1-5 - Juan S. Guerrero, Rafael S. Suárez, Angie Hernández, Said Pertuz:
Impact of Image and Feature Harmonization on the Computerized Analysis of Mammograms. 1-4 - Mbaimou Auxence Ngremmadji, Freddy Odille, Remi Hattat, Charline Bertholdt, Marine Beaumont, Bailiang Chen:
A Variational Inference Super-Resolution Method with Beltrami Regularization for In-Vivo MR Placenta Images. 1-5 - Tomohiro Hashimoto, Ayaka Maruo, Shoichiro Sekiguchi, Yoshitaka Ushiku, Genya Shimbo:
Unsupervised Domain Adaptation for Human and Animal Chest X-Ray Bone Suppression. 1-5 - Mahapara Khurshid, Mayank Vatsa, Richa Singh:
Optimizing Skin Lesion Classification Via Multimodal Data and Auxiliary Task Integration. 1-5 - Yuyang Hu, Satya V. V. N. Kothapalli, Weijie Gan, Alexander L. Sukstanskii, Gregory F. Wu, Manu Goyal, Dmitriy A. Yablonskiy, Ulugbek S. Kamilov:
DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model. 1-4 - Alessandro Molani, Claudia Mascheroni, Andrea Aliverti, Francesca Pennati:
Airways Measurement from Ct Images in Health and Asthma. 1-4 - Kyle Lucke, Aleksandar Vakanski, Min Xian:
A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation. 1-5 - Emese Sükei, Elisabeth Rumetshofer, Niklas Schmidinger, Andreas Mayr, Ursula Schmidt-Erfurth, Günter Klambauer, Hrvoje Bogunovic:
Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging. 1-5 - Chu Chen, Yang Liu, Se Weon Park, Jizhou Li, Kannie W. Y. Chan, Raymond H. F. Chan:
Implicit Regression in Subspace for High-Sensitivity CEST Imaging. 1-5 - Alexander Oberstraß, Jordan DeKraker, Nicola Palomero-Gallagher, Sascha E. A. Muenzing, Alan C. Evans, Markus Axer, Katrin Amunts, Timo Dickscheid:
Analyzing Regional Organization of The Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding. 1-5 - Junyu Chen, Yihao Liu, Shuwen Wei, Zhangxing Bian, Aaron Carass, Yong Du:
From Registration Uncertainty to Segmentation Uncertainty. 1-5 - Ahmed Alksas, Ahmed Sharafeldeen, Hossam Magdy Balaha, Mohammed Ghazal, Marah Talal Alhalabi, Ali Mahmoud, Rasha Hassan, Jawad Yousaf, Harpal Sandhu, Ayman El-Baz:
Retinal Vascular System Segmentation based on Non-Linear Map-Based Estimation of Joint MGRF Model. 1-4 - Alexios Antonopoulos, Theodoros Tsampras, Georgios Kalykakis, Theodora Karamanidou, Thanos G. Stavropoulos, Charalambos Stavropoulos:
Automatic Segmentation of the Left Ventricular Myocardium in Cardiac CT Scans using AI. 1-4 - Zeyu Zhang, Xuyin Qi, Bowen Zhang, Biao Wu, Hien Le, Bora Jeong, Zhibin Liao, Yunxiang Liu, Johan Verjans, Minh-Son To, Richard I. Hartley:
SegReg: Segmenting OARs by Registering MR Images and CT Annotations. 1-5 - Emma Lhermitte, Mickaël Dinomais, Rodrigo Araneda Oyaneder, Yannick Bleyenheuft, Andrea Guzetta, Sylvain Brochard, François Rousseau:
Validating Stroke Lesion Segmentation Methods Using MRI in Children: Transferability of Deep Learning Models. 1-5 - Zixuan Wen, Jingxuan Bao, Shu Yang, Junhao Wen, Qipeng Zhan, Yuhan Cui, Güray Erus, Zhijian Yang, Paul M. Thompson, Yize Zhao, Christos Davatzikos, Li Shen:
Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits. 1-5 - Ruizhe Li, Grazziela P. Figueredo, Dorothee Auer, Christian Wagner, Xin Chen:
MrRegNet: Multi-Resolution Mask Guided Convolutional Neural Network for Medical Image Registration with Large Deformations. 1-5 - Sung Ho Jung, Yeokyoung Won, Won Seok Song, Ju Hwan Lee, Hakje Yoo, Dong Hui Lim:
Classification of Bacterial Keratitis Activity with Patch-Based Deep Learning Using Three Anterior Segment Images. 1-5 - Ninad Aithal, Chakka Sai Pradeep, Neelam Sinha:
MCI Detection Using FMRI Time Series Embeddings of Recurrence Plots. 1-4 - Manxi Lin, Jakob Ambsdorf, Emilie Pi Fogtmann Sejer, Zahra Bashir, Chun Kit Wong, Paraskevas Pegios, Alberto Raheli, Morten Bo Søndergaard Svendsen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen:
Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. 1-5 - Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Jessica Küpper, Shaobo Liu, Abhilash Rakkunedeth, Jacob L. Jaremko:
Application of Vision-Language Models for Assessing Osteoarthritis. 1-4 - Lina Nawwas, Martin Möddel, Tobias Knopp:
Sparse Kaczmarz for Convergence Speed-Up in Multi-Contrast Magnetic Particle Imaging. 1-4 - Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye:
Deep Learning for Automated Detection of Breast Cancer in Deep Ultraviolet Fluorescence Images with Diffusion Probabilistic Model. 1-5 - Lilong Wang, Xuan Wang, Yali Xu, Xiangan Wu, Shunda Du, Shaoting Zhang, Qiang Sun, Xiaosong Wang:
Dual-Perspective Label Smoothing for Accurate Tumor Segmentation. 1-5 - Jiaqi Wang, Mengtian Kang, Yong Liu, Chi Zhang, Ying Liu, Shiming Li, Yue Qi, Wenjun Xu, Chenyu Tang, Edoardo Occhipinti, Mayinuer Yusufu, Ningli Wang, Weiling Bai, Shuo Gao, Luigi G. Occhipinti:
SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images. 1-4 - Rizhong Lin, Ali Gholipour, Jean-Philippe Thiran, Davood Karimi, Hamza Kebiri, Meritxell Bach Cuadra:
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. 1-5 - Xiuzhen Guo, Ji Shi, Zezeng Li, Lianyuan Yu, Na Lei, Hongwei Li, Rongguo Zhang, Tao Hu:
Semi-Supervised Medical Image Segmentation Based on Local Consistency and Volume Constancy. 1-5 - Yuji Zhao, Boris A. Gutman:
Morph-Transformer: A Deep Spatiotemporal Framework for Shape Analysis in Longitudinal Neuroimaging. 1-5 - Grégoire Malandain, Patrick Lemaire:
Detecting Symmetry in Ascidian Embryo. 1-4 - Chenyu Liu:
Local-Global Co-Attention Neural Network for Alzheimer's Disease Diagnosis. 1-5 - Jiajian Ma, Fangqi Lu, Silin Huang, Song Wu, Zhen Li:
Generalize Polyp Segmentation Via Inpainting Across Diverse Backgrounds and Pseudo-Mask Refinement. 1-5 - Duc Vu, Meiby Ortiz-Bouza, Selin Aviyente:
Graph Filtering for Hub Node Identification in Brain Networks. 1-5 - Siyeop Yoon, Jay Sairam Pratap, Wen-Chih Liu, Matthew Tivnan, Hui Ren, Abhiram Bhashyam, Quanzheng Li, Neal Chen, Xiang Li:
High-Resolution 3d Ct Synthesis From Bidirectional X-Ray Images Using 3d Diffusion Model. 1-4 - Soumee Guha, Lisa S. Berlizova, Blair E. Stilley, Scott T. Acton:
Synthesizing Unpaired Images of Bacterial Biofilms with Auxiliary Diffusion Models. 1-5 - Tereza Necasová, Daniel Múcka, David Svoboda:
COMPYDA: An Online Tool for Verifying the Similarity of Image Datasets. 1-5 - Antoine Lenoir, Hamid Ladjal, Elodie Desserée, Behzad Shariat:
Real Time Lung Tumor Tracking Based on Biomechanical Modeling and LSTM Network Models of the Respiratory Movement for Radiation Therapy. 1-4 - Daniya Najiha Abdul Kareem, Mustansar Fiaz, Noa Novershtern, Hisham Cholakkal:
Medical Image Segmentation Using Directional Window Attention. 1-5 - Ondrej Mokrý, Jirí Vitous, Pavel Rajmic, Radovan Jirík:
Improving DCE-MRI through Unfolded Low-Rank + Sparse Optimisation. 1-5 - Arina Varlamova, Valery Belotsky, Grigory Novikov, Anton Konushin, Evgeny Sidorov:
Features Fusion For Dual-View Mammography Mass Detection. 1-5 - Heyun Chen, Zifan Chen, Jie Zhao, Haoshen Li, Jiazheng Li, Yiting Liu, Mingze Yuan, Peng Bao, Xinyu Nan, Bin Dong, Lei Tang, Li Zhang:
MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans. 1-5 - Hongwei Bran Li, Matthew S. Rosen, Shahin Nasr, Juan Eugenio Iglesias:
Resolution- and Stimulus-Agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies. 1-5 - Ivo John, Zipei Yan, Aleksander Bogucki, Michal Swiatek, Hugo Chrost, Michal Wlodarski, Radoslaw Chrapkiewicz, Jizhou Li:
Unsupervised Deep Learning-Driven Stabilization of Smartphone-Based Quantitative Pupillometry for Mobile Emergency Medicine. 1-5 - Naxhije Berisha, Konstantinos Plakas, Matthieu Gigoux, Taha Merghoub, Chrysafis Andreou:
Multiplexed Serial Imaging of Immunotherapy Response with Serrs Nanoprobes. 1-4 - Zhiwei Qu, Li Zhuo, Xiaoguang Li, Hongxia Yin, Zhenchang Wang:
Adaptive Multi-Scale Strategy for Deep Reinforcement Learning Based 3D Ear Fenestra Vestibuli Landmark Localization in U-HRCT Images. 1-5 - Amine Sadikine, Bogdan Badic, Enzo Ferrante, Vincent Noblet, Pascal Ballet, Dimitris Visvikis, Pierre-Henri Conze:
Deep Vessel Segmentation with Joint Multi-Prior Encoding. 1-5 - Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up. 1-5 - Benjamin Towle, Xin Chen, Ke Zhou:
SimSAM: Zero-Shot Medical Image Segmentation via Simulated Interaction. 1-5 - Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid:
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in The Human Brain. 1-5 - Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz:
Promise: Prompt-Driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models. 1-5 - Wenlei Shang, Wenjian Liu, Ying Cheng, Zijian Zhou, Guohua Cao, Peng Hu:
A High-Frequency Re-Optimization Network for MRI Reconstruction with CT as the Prior. 1-5 - Xiaoke Hao, Mingming Ma, Yingchun Guo, Jiawang Li, Jing Qin, Daoqiang Zhang:
A Framework on Imaging and Phenotype Information Hierarchical Graph Convolutional Networks for Identification of Autism Spectrum Disorder. 1-4 - Yanzhen Liu, Yudi Sang, Sutuke Yibulayimu, Gang Zhu, Chao Shi, Chendi Liang, Jixuan Liu, Qing Yang, Chunpeng Zhao, Qiyong Cao, Xinbao Wu, Yu Wang:
Automatic Intraoperative CT-CBCT Registration For Image-Guided Pelvic Fracture Reduction. 1-5 - Robin Mieling, Sarah Latus, Finn Behrendt, Debayan Bhattacharya, Maximilian Neidhardt, Alexander Schlaefer:
Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography? 1-4 - Shilajit Banerjee, Angshuman Paul:
An Ensemble of Well-Trained Students Can Perform Almost as Good as a Teacher for Chest X-Ray Diagnosis. 1-5 - Hongyu Li, Qiao Liu, Xuhao Dong, Zhongren Guo, Kunyang Wang, Shengping Liu, Qi Liu, Yongquan Ye, Yichen Hu, Zheng Zhong, Hui Liu, Yanjie Zhu, Haifeng Wang, Dong Liang, Jian Xu, Yihang Zhou:
Robust Cardiac T1 Mapping in Three Heartbeats With UltraMAP: A Synergistic CNN-FC Approach. 1-4 - Eduard Chelebian, Christophe Avenel, Carolina Wählby:
Self-Supervised Learning for Genetically Relevant Domain Identification in Morphological Images. 1-5 - Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra:
A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification. 1-5 - Kirill Prokhorov, Alexandr A. Kalinin:
Improving Acne Image Grading with Label Distribution Smoothing. 1-5 - Xinlei Yu, Xinyang Li, Ruiquan Ge, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Taosheng Xu, Xiang Wan, Changmiao Wang:
ICHPro: Intracerebral Hemorrhage Prognosis Classification via Joint-Attention Fusion-Based 3D Cross-Modal Network. 1-5 - Anum Masood, Usman Naseem, Junaid Rashid, Imran Razzak:
Automated Detection and Segmentation of Glioblastoma in MRI Using Multi-Level Diffusion Transformer U-Net. 1-4 - Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan:
3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes. 1-5 - Wenhui Cui, Woojae Jeong, Philipp Thölke, Takfarinas Medani, Karim Jerbi, Anand A. Joshi, Richard M. Leahy:
Neuro-GPT: Towards A Foundation Model For EEG. 1-5 - Lyuyang Wang, Sommer Chou, Gerry Wright, Lesley MacNeil, Mehdi Moradi:
TriCC: Self-Supervised Contrastive Learning for Image-Based Antiparasitic Drug Discovery. 1-5 - Xirang Zhang, Yongyi Yang, Jovan G. Brankov, P. Hendrik Pretorius, Michael A. King:
Improving Temporal Resolution in Clinical Cardiac-gated SPECT Studies via Surrogate Training in Deep Learning Denoising. 1-4 - Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Brain Image Synthesis Using Incomplete Multimodal Data. 1-5 - Mohamed T. Azam, Hossam Magdy Balaha, Khadiga M. A. Seddik, Nagham E. Mekky, Noha A. Hikal, Mohammed Ghazal, Dibson D. Gondim, Akshitkumar Mistry, Ayman El-Baz:
A Novel Vit-Based Multi-Scaled and Rotation-Invariance Approach for Precise Differentiation Between Meningioma and Solitary Fibrous Tumor. 1-4 - Austin Tapp, Abhijeet Parida, Can Zhao, Van Lam, Natasha Leporé, Syed Muhammad Anwar, Marius George Linguraru:
MR to CT Synthesis Using 3d Latent Diffusion. 1-5 - Lianghu Guo, Tianli Tao, Xinyi Cai, Zihao Zhu, Jiawei Huang, Lixuan Zhu, Zhuoyang Gu, Haifeng Tang, Rui Zhou, Siyan Han, Yan Liang, Qing Yang, Dinggang Shen, Han Zhang:
Cas-DiffCom: Cascaded Diffusion Model for Infant Longitudinal Super-Resolution 3D Medical Image Completion. 1-4 - Soumyanil Banerjee, Qisheng He, Min-Hee Lee, Ming Dong, Eishi Asano, Jeong-Won Jeong:
Localization of Epileptogenicity Using Incomplete MRI Sequence Data in Children with Seizure Onset Zone Involving Temporal Lobe. 1-5 - Xi Lin, Xinxu Wei, Shixuan Zhao, Yongjie Li:
Vascular Skeleton Deformation Evaluation Based on the Metric of Sinkhorn Distance. 1-5 - Adam Byfield, William Poulett, Ben Wallace, Anusha Jose, Shatakshi Tyagi, Smita Shembekar, Adnan Qayyum, Junaid Qadir, Muhammad Bilal:
Medisure: Towards Assuring Machine Learning-Based Medical Image Classifiers Using Mixup Boundary Analysis. 1-4 - Yizhe Zhang, Tao Zhou, Ye Wu, Shuo Wang, Danny Z. Chen:
Transduction Enhanced Inductive Inference for Imbalanced Classification in Medical Images. 1-5 - Samruddhi Shastri, Naren Akash R. J, Lokesh Gautham, Jayanthi Sivaswamy:
Locate-Then-Delineate: A Free-Text Report Guided Approach for Pneumothorax Segmentation in Chest Radiographs. 1-4 - Md Ashikuzzaman, Jonny Huang, Steve Bonwit, Azin Etemadimanesh, Preeti Raghavan, Muyinatu A. Lediju Bell:
Deep Learning-Based Displacement Tracking for Post-Stroke Myofascial Shear Strain Quantification. 1-4 - Philippe Zhang, Yihao Li, Jing Zhang, Weili Jiang, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Mostafa El Habib Daho:
Detection and Classification of Glaucoma in the Justraigs Challenge: Achievements in Binary and Multilabel Classification. 1-4 - Ahmad Chaddad, Yuchen Jiang:
Reinforcement Learning for Medical Image Classification Based on Deep Deterministic Policy Gradients. 1-4 - Huiru Ming, Lei Yang, Minghui Chen, Suya Han, Hongwei Xu, Ling Ma, Xin Zhao, Huiqin Jiang:
A Multi-Modal and Multi-View Fusion Network for BI-RADS Five-Classification of Breast Tumors. 1-5 - Hung Le, Hieu Pham:
Learning to Estimate Critical Gait Parameters from Single-View RGB Videos with Transformer-Based Attention Network. 1-5 - Christian Marinus Huber, Christian Heim, Helmut Ermert, Stefan J. Rupitsch, Ingrid Ullmann, Martin Vossiek, Stefan Lyer:
Ultrasound Phantom of a Carotid Bifurcation Tumor Using Multiple 3D Printed Soluble Filaments. 1-5 - Shizhan Gong, Yuan Zhong, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Segmentation of Tiny Intracranial Hemorrhage Via Learning-to-Rank Local Feature Enhancement. 1-5 - Yang Zhao, Ke Lu, Shuhua Wang, Jian Lu, Jian Xue:
Unsupervised Domain Adaptation for Medical Image Segmentation with Conditional Diffusion Model. 1-5 - Jialuo He, Hengrong Lan, Shangqing Tong, Fei Gao:
TFDT-Net: Improving Photoacoustic Imaging Reconstruction with Learnable Filter Transformer. 1-4 - Jiacheng Wang, Hao Li, Dewei Hu, Yuankai K. Tao, Ipek Oguz:
Novel OCT Mosaicking Pipeline with Feature-And Pixel-Based Registration. 1-5 - Qinxuan Luo, Ge Yang:
Self-Supervised Denoising Under Variations Between Adjacent Slices for Fluorescence Microscopy Image Stacks. 1-5 - Agastya Thoppur, Madamanchi Pruritivi, Pon Deepika, Madhav Rao, Vikas Vazhayil:
Deep Learning Assisted Phase Recognition in Endoscopic Third Ventriculostomy Procedures. 1-5 - Sevde Aydodgu, Ka-Wai Yung, Danail Stoyanov, Deepak Kalaskar, Evangelos B. Mazomenos:
Improving Vertebrae Segmentation Using a Centroid Detection-Guided Transformer-Based Network. 1-5 - Salome Kazeminia, Miroslav Brezík, Sayedali Shetab Boushehri, Carsten Marr:
A Data-Driven Solution for The Cold Start Problem in Biomedical Image Classification. 1-5 - Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Pei Dong, Shanshan Wang:
Lesen: Label-Efficient Deep Learning for Multi-Parametric Mri-Based Visual Pathway Segmentation. 1-5 - Amirkhosro Kazemi, Isaac Josh Abecassis, Amir A. Amini:
PI-GNN: Physics-Informed Graph Neural Network for Super-Resolution of 4D Flow MRI. 1-5 - Zhe Wang, Huamin Wang, Jiayi Wu, Shuo Yang, Xiao Bai, Guohua Cao:
Back Projection Tensor Domain Fusion Improves Cross-Domain Deep Reconstruction for Sparse-View CT. 1-4 - Jie Ma, Zhijun Xu, Xinyu Xiong, Ma-yi-di-li Ni-jia-ti, Dongyu Zhang, Weijun Sun, Feng Gao, Guanbin Li:
Source-Free Semi-Supervised Domain Adaptation for Tuberculosis Recognition. 1-5 - Amani Almalki, Longin Jan Latecki:
Masked Deep Embeddings of Patches for Teeth Segmentation in Cone Beam CT Images. 1-5 - Kristhian Aguilar, Victor Cavalcante, Celso B. Carvalho, Waldir Sabino, Mateus Oliveira:
Automatic Glaucoma Classification and Feature Detection for the Justraigs Challenge. 1-4 - Lorenz Lamm, Ricardo D. Righetto, Tingying Peng:
Mean Shift Clustering as a Loss Function for Accurate and Segmentation-Aware Localization of Macromolecules in Cryo-Electron Tomography. 1-5 - Hong Xu, Shireen Y. Elhabian:
Optimization-Driven Statistical Models of Anatomies Using Radial Basis Function Shape Representation. 1-5 - Julia Sistermanns, Ellen Emken, Oliver Hayden, Gregor Weirich, Wolfgang Utschick:
Unsupervised high-throughput segmentation of cells and cell nuclei in quantitative phase images. 1-5 - Yubo Zhou, Ran Gu, Shaoting Zhang, Guotai Wang:
Self-Supervised Pre-Training Based On Contrastive Complementary Masking for Semi-Supervised Cardiac Image Segmentation. 1-5 - Akshat Gautam, Anurag Shandilya, Akshit Srivastava, Venkatapathy Subramanian, Ganesh Ramakrishnan, Kshitij S. Jadhav:
Insite: Labelling Medical Images Using Submodular Functions and Semi-Supervised Data Programming. 1-5 - Hetali Chavda, Ming Zhang, Raj Ponnusamy, Yue Wang, Carmine Guida, Juan Shan:
Automatic Measurement of Joint Space Width from Hand Radiographs Using Deep Learning Models. 1-5 - Feilin Deng, Shangxuan Li, Baoer Liu, Yikai Xu, Wu Zhou:
Self-Supervised Learning with Unsupervised Motion Correction for Fitting IVIM Model. 1-5 - Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan:
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure. 1-4 - Haoshen Li, Zifan Chen, Jie Zhao, Heyun Chen, Hexin Dong, Mingze Yuan, Bin Dong, Li Zhang:
Multi-Scale Clinical-Guided Binocular Fusion Framework for Predicting New-Onset Hypertension Over a Four-Year Period. 1-5 - Peiyu Duan, Nicha C. Dvornek, Jiyao Wang, Jeffrey Eilbott, Yuexi Du, Denis G. Sukhodolsky, James S. Duncan:
Spectral Brain Graph Neural Network for Prediction of Anxiety in Children with Autism Spectrum Disorder. 1-5 - Yanfu Zhang, Guodong Liu, Runxue Bao, Liang Zhan, Paul Thompson, Heng Huang:
Neurodegenerative Disease Prediction via Transferable Deep Networks. 1-5 - Fengming Lin, Yan Xia, Yash Deo, Michael MacRaild, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi:
Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning. 1-5 - Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc, Giulia Vadori, Livio Finos, Enrico Grisan:
Revealing Cortical Layers in Histological Brain Images with Self-Supervised Graph Convolutional Networks Applied to Cell-Graphs. 1-5 - Yanteng Zhang, Hongshun Cai, Yiming Du, Bingchao Xu, Yang Liu:
Gray Matter-Guided Attention Network for AD Diagnosis Using Structural MRI. 1-5 - Xin Wang, Zhiyun Song, Yitao Zhu, Sheng Wang, Lichi Zhang, Dinggang Shen, Qian Wang:
Inter-Slice Super-Resolution of Magnetic Resonance Images by Pre-Training and Self-Supervised Fine-Tuning. 1-5 - Thibault Sauron, Carole Lazarus, Laure Fournier, Camille Kurtz, Florence Cloppet:
SEQ-ALIGN: Self-Supervised Image Representation Learning from Multi-Sequence MRI. 1-4 - Toygan Kilic, Jürgen Herrler, Patrick Liebig, Ömer Burak Demirel, Armin M. Nagel, Mingyi Hong, Georgios B. Giannakis, Kâmil Ugurbil, Mehmet Akçakaya:
Towards Fast Hard-Constrained Parallel Transmit Design in Ultrahigh Field MRI with Physics-Driven Neural Networks. 1-5 - Ubaldo Ramon-Julvez, Monica Hernandez, Elvira Mayordomo:
EPDiff-JF-Net: Adjoint Jacobi Fields for Diffeomorphic Registration Networks. 1-5 - Madukuri Shaurya, Anumeha Varma, Monika Agrawal:
Glaucoma Abnormality Classification Using Yolo and Swin Transformer. 1-3 - Konstantinos Alexis, Stergios Christodoulidis, Dimitrios Gunopulos, Maria Vakalopoulou:
Diffusion Models for Nuclei Segmentation in Low Data Regimes. 1-5 - Haoran Lai, Qingsong Yao, Zhiyang He, Xiaodong Tao, S. Kevin Zhou:
Long-Tailed Multi-Label Classification with Noisy Label of Thoracic Diseases from Chest X-Ray. 1-5 - Huaqian Wu, Clara Brémond Martin, Kevin Bouaou, Cédric Clouchoux:
Tumor Segmentation on Whole Slide Images: Training or Prompting? 1-5 - Jiajun Zeng, Dong Ni, Ruobing Huang:
Is Two-Shot All You Need? A Label-Efficient Approach for Video Segmentation in Breast Ultrasound. 1-5 - Hyunho Shin, Nam-Joon Kim, Ji Hye Min, Seol Eui Lee, Ken Ying-Kai Liao, Hyuk-Jae Lee:
3D-HLDM: Human-Guided Latent Diffusion Model to Improve Microvascular Invasion Prediction in Hepatocellular Carcinoma. 1-5 - Pengfei Gu, Zihan Zhao, Hongxiao Wang, Yaopeng Peng, Yizhe Zhang, Nishchal Sapkota, Chaoli Wang, Danny Z. Chen:
Boosting Medical Image Classification with Segmentation Foundation Model. 1-5 - Rebeca M. A. Coércio, Alexandre R. Farias, Jean-Louis Dillenseger:
Camera Calibration Algorithm for Lung Nodule Detection in Video-Assisted Thoracoscopic Surgery. 1-5 - Sneha N. Naik, Elsa D. Angelini, R. Graham Barr, Norrina Allen, Alain Bertoni, Eric A. Hoffman, Ani Manichaikul, Jim Pankow, Wendy Post, Yifei Sun, Karol E. Watson, Benjamin M. Smith, Andrew F. Laine:
Unsupervised Airway Tree Clustering with Deep Learning: the Multi-Ethnic Study of Atherosclerosis (Mesa) Lung Study. 1-5 - Felicia Alfano, David Bermejo-Peláez, Lucilio Cordero-Grande, Karla Ferreres García, Juan Enrique Ortuño Fisac, Oscar Bueno Zamora, Serafín Lizarraga, Andrés Santos, Javier Pascau, María J. Ledesma-Carbayo:
Learning Breast Tissue Prone-To-Supine Displacement for Surgical Planning with Convolutional Neural Networks. 1-5 - Weizhen He, Haoran Zhu, Jialing Feng, Qinzhu Yang, Yanzhe Wei, Zhengji Huang, Huiren Tao, Yi Gao:
Combing 3D body surface and CT volumetric data for ankylosing spondylitis surgery outcome simulation. 1-5 - Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang:
Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques. 1-5 - Mengyunqiu Zhang, Sei-Ichiro Kamata, Pengfeng Lu:
ADHD Classification Method based on Spatio-Temporal Multifractal Features Using Attention-Based Pyramid Feature Mixer Modules. 1-5 - Nikomidisz Eftimiu, Michal Kozubek:
Gravitational Cell Detection and Tracking in Fluorescence Microscopy Data. 1-5 - Isabel Rio-Torto, Tiago Gonçalves, Jaime S. Cardoso, Luís F. Teixeira:
On the Suitability of B-cos Networks for the Medical Domain. 1-5 - Shumpei Takezaki, Seiichi Uchida:
An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels. 1-5 - Trevor J. Chan, Chamith S. Rajapakse:
Learning the Domain Specific Inverse Nufft for Accelerated Spiral MRI Using Diffusion Models. 1-5 - Jun-En Ding, Chien-Chin Hsu, Feng Liu:
Parkinson's Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of Spect Images and Clinical Features. 1-5 - Tianyunxi Wei, Yijin Huang, Li Lin, Pujin Cheng, Sirui Li, Xiaoying Tang:
Saliency-Guided and Patch-Based Mixup for Long-Tailed Skin Cancer Image Classification. 1-5 - Celina Alba, Giuseppe Barisano, Alexis Bennett, Akul Sharma, Paul M. Vespa, Dominique Duncan:
Enlarged Perivascular Spaces in Frontal and Temporal Cortical Regions Characterize Seizure Outcome After Traumatic Brain Injury. 1-4 - Zhendi Gong, Andrew P. French, Guoping Qiu, Xin Chen:
CTranS: A Multi-Resolution Convolution-Transformer Network for Medical Image Segmentation. 1-5 - Mohammad Hamghalam, Robert Moreland, David Gomez, Hui-Ming Lin, Ali Babaei Jandaghi, Monica Tafur Arciniegas, Paraskevi A. Vlachou, Matthew Wu, Michael Brassil, Priscila Crivellaro, Shobhit Mathur, Shahob Hosseinpour, Errol Colak, Amber L. Simpson:
Organ Proximity Analysis: A Novel Approach to Spleen Localization for Accurate Injury Grading in Abdominal CT Scans. 1-5 - Cristian Tommasino, Cristiano Russo, Antonio Maria Rinaldi, Francesco Ciompi:
"HoVer-UNet": Accelerating Hovernet with Unet-Based Multi-Class Nuclei Segmentation Via Knowledge Distillation. 1-4 - Ayush Roy, Payel Pramanik, Dmitrii I. Kaplun, Sergei Antonov, Ram Sarkar:
Awgunet: Attention-Aided Wavelet Guided U-Net for Nuclei Segmentation in Histopathology Images. 1-4 - Sanghyeon Cho, Bogyeong Kang, Keun-Soo Heo, Eunjung Jo, Tae-Eui Kam:
Enhanced Structure Preservation and Multi-View Approach in Unsupervised Domain Adaptation for Optic Disc and Cup Segmentation. 1-5 - Jaeik Jeon, Jiyeon Kim, Yeonggul Jang, Yeonyee E. Yoon, Dawun Jeong, Youngtaek Hong, Seung-Ah Lee, Hyuk-Jae Chang:
A Unified Approach For Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography. 1-5 - Christian McBride, Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Moi Hoon Yap:
Multi-Colour Space Channel Selection for Improved Chronic Wound Segmentation. 1-5 - François Marelli, Michael Liebling:
OptoMechanical Modulation Tomography for Ungated Compressive Cardiac Light Sheet Microscopy. 1-4 - Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. 1-5 - Tomasz Kubrak:
Automated Detection of Glaucoma and Diagnostic Features for Justraigs Challenge. 1-3 - Tianzhao Zhong, Huaishui Yang, Jihao Li, Mengye Lyu, Shaojun Liu:
WaveU3S: A Lightweight Wavelet Dual-Attention Unet for 3D Medical Image Segmentation. 1-5 - Thomas Maitre, Elie Bretin, Laurent Mahieu-Williame, Michaël Sdika, Nicolas Ducros:
Hybrid Single-Pixel Camera for Dynamic Hyperspectral Imaging. 1-5 - Evangelos Tikas, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Achilles Boursianis, Konstantinos-Iraklis D. Kokkinidis, Achilleas Papatheodorou, Sotirios K. Goudos:
Human Blastocyst Image Generation Using Generative Adversarial Networks. 1-4 - Zhe Chen, Jiaxin Feng, Xingyue Wei, Qiong He, Shiyue Li, Changhao Zhong, Jianwen Luo:
Enhancing Pulmonary Tumor Diagnosis Based on Endobronchial Ultrasound Images Through Cross-Domain Features Via Supervised Contrastive Learning. 1-4 - Shibin Wu, Bang Yang, Zhiyu Ye, Haoqian Wang, Hairong Zheng, Tong Zhang:
MAKEN: Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation Models. 1-5 - Gabriel Watkinson, Ethan Cohen, Nicolas Bourriez, Ihab Bendidi, Guillaume Bollot, Auguste Genovesio:
Weakly Supervised Cross-Modal Learning in High-Content Screening. 1-5 - Sara Petiton, Antoine Grigis, Benoit Dufumier, Edouard Duchesnay:
How and Why Does Deep Ensemble Coupled with Transfer Learning Increase Performance in Bipolar Disorder and Schizophrenia Classification? 1-5 - J. Meyer, X. Dong, K. Rohr:
Cell Nuclei Segmentation Using Deep Hybrid Representation Learning for 2D and 3D Microscopy Images. 1-5 - Soumyanil Banerjee, Ming Dong, Carri Glide-Hurst:
Dual Self-Distillation of U-Shaped Networks for 3D Medical Image Segmentation. 1-5 - Hamid Ladjal, Elodie Desserée, Behzad Shariat:
Study the Effect of the Personalized Lung Compliance on Lung Tumor Motion for Radiation Therapy. 1-4 - Jianqiang Li, Jiatao Yang, Haitao Gan, Zhongwei Huang:
Parkinson's Disease Diagnosis with Sparse Learning of Multi-Modal Adaptive Similarity. 1-5 - Pengze Li, Lihao Liu, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Optimised Propainter for Video Diminished Reality Inpainting. 1-5 - Alexandros Gkillas, Dimitris Ampeliotis, Kostas Berberidis:
Privacy-Preserving Federated Deep-Equilibrium Learning for Medical Image Classification. 1-4 - Oscar Cuadros Linares, Ivar Vargas Belizario, Sabrina Setembre Batah, Bernd Hamann, Alexandre Todorovic Fabro, Paulo M. Azevedo-Marques, Agma J. M. Traina:
RadPleura: A Radiomics-Based Framework for Lung Pleura Classification in Histology Images from Interstitial Lung Diseases. 1-5 - Chelsea Harris, Uchenna Okorie, Sokratis Makrogiannis:
Mammographic Breast Density Classification by Integration of Deep Dictionaries and Multi-Model Sparse Approximations. 1-5 - Mona Furukawa, Daniel R. McGowan, Bartlomiej W. Papiez:
Prediction of Recurrence Free Survival of Head and Neck Cancer Using PET/CT Radiomics and Clinical Information. 1-5 - Mateus Oliveira Da Silva, Caio Pinheiro Santana, Diedre Santos do Carmo, Letícia Rittner:
FOD-Swin-Net: Angular Super Resolution of Fiber Orientation Distribution Using a Transformer-Based Deep Model. 1-5 - José Marcio Luna, Hani Nakhoul, Cody Weimholt, Eric H. Kim, Sheng-Kwei Song, Peggi M. Angel, Richard R. Drake, Joseph E. Ippolito:
A Pipeline for Histopathology Analysis of Prostate Cancer Guided by Mass Spectrometry Imaging. 1-5 - Qingsong Yao, Zecheng He, Xiaodong Yu, S. Kevin Zhou:
Nowhere to Hide: Toward Robust Reactive Medical Adversarial Defense. 1-5 - Charulkumar Chodvadiya, Navyansh Mahla, Kinshuk Gaurav Singh, Kshitij Sharad Jadhav:
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis. 1-5 - Baiyang Dai, Jiamin Yang, Hari Shroff, Patrick La Riviere:
Prediction of Cellular Identities from Trajectory and Cell Fate Information. 1-5 - Yunfei Xie, Ce Zhou, Jieru Mei, Xianhang Li, Cihang Xie, Yuyin Zhou:
Brain Tumor Segmentation Through Supervoxel Transformer. 1-5 - Xuan Lei, Philip Schniter, Chong Chen, Muhammad Ahmad Sultan, Rizwan Ahmad:
Surface Coil Intensity Correction for MRI. 1-5 - Jianing Geng, Zijian Zhou, Haikun Qi, Peng Hu:
Joint Optimization of K-Space Sampling and Reconstruction for Multi-Contrast MRI. 1-5 - Fan Yang, Liwen Zhang, Jiaxin Zhang, Zechen Wei, Xin Yang, Jie Tian, Hui Hui:
Multi-Scale Adaptive Transformer for Image Deblurring in Magnetic Particle Imaging. 1-5 - Ralph Saber, Marion Tonneau, Sami Bahig, Julie Malo, Wiam Belkaid, Meriem Messaoudene, Nicole Bouchard, François Coulombe, Philippe Joubert, Houda Bahig, Simon Turcotte, Bertrand Routy, Samuel Kadoury:
Feature Tokenizer-Transformers with Self-Training for The Prediction of PD-L1 Expression of Non-Small Cell Lung Cancer from CT. 1-5 - Guil Jung, Young-Min Kim, Hyeon-Jik Lee, SeokHwan Oh, Myeong-Gee Kim, Hyuksool Kwon, Hyeon-Min Bae:
Myocardium Tissue Characteristics Quantification in Echocardiography. 1-5 - Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado, David Ahmedt-Aristizabal:
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. 1-5 - Tao Yu, Xinrui Zhan, Lei Xiang, Xin Gao, Tao Zhou:
Bilateral Cross-Modal Fusion Network for Multimodal Whole-Body Tumor Segmentation. 1-5 - Dayeon Lee, Dong Sik Kim:
High-Precision Alignments for Dual-Layer Detectors Based on a Slant-Edge Phantom. 1-5 - Guillaume Garret, Antoine Vacavant, Carole Frindel:
Deep Vessel Segmentation Based on a New Combination of Vesselness Filters. 1-5 - Yujian Xiong, Wenhui Zhu, Zhonglin Lu, Yalin Wang:
Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning. 1-5 - Marek Wodzinski, Henning Müller:
Patch-Based Encoder-Decoder Architecture For Automatic Transmitted Light To Fluorescence Imaging Transition: Contribution To The Lightmycells Challenge. 1-4 - Yipei Wang, Bing He, Shannon L. Risacher, Andrew J. Saykin, Jingwen Yan, Xiaoqian Wang:
Learning the Irreversible Progression Trajectory of Alzheimer's Disease. 1-5 - Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
CT Liver Segmentation Via PVT-Based Encoding and Refined Decoding. 1-5 - Victor Ibañez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz:
Integrating Multiscale Topology in Digital Pathology with Pyramidal Graph Convolutional Networks. 1-4 - Melina Tourni, Seungyeon Julia Han, Mary Kucinski, Angelo B. Biviano, Elisa E. Konofagou:
Long-Term Response Classification and Prediction of Atrial Fibrillation Ablation Using Non-Invasive 3D-Rendered Electromechanical Cycle Length Mapping. 1-5 - Shruti Prashant Gadewar, Alyssa H. Zhu, Iyad Ba Gari, Sunanda Somu, Sophia I. Thomopoulos, Paul M. Thompson, Talia M. Nir, Neda Jahanshad:
Synthesizing Study-Specific Controls Using Generative Models on Open Access Datasets for Harmonized Multi-Study Analyses. 1-5 - Zhidong He, Han Bao, Mingzhang Chen, Jiasong Wu, Luwei Liu, Lotfi Senhadji, Huazhong Shu, Bin Yan:
FST-Net: Facial Soft Tissue Landmark Localization on 3dMD Scans Using Feature Fusion and Local Coordinate Regression. 1-5 - Yasmeena Akhter, Rishabh Ranjan, Richa Singh, Mayank Vatsa:
Low-Resolution Chest X-Ray Classification Via Knowledge Distillation and Multi-Task Learning. 1-5 - Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng:
Low-Resource Finetuning of Foundation Models Beats State-of-the-Art in Histopathology. 1-5 - Peng Li, Yuping Ji, Yue Hu:
Structure-Preserved Graph Embedding for Improved MRF Reconstruction. 1-4 - Mohamed Khudri, Mostafa Abdelrahim, Mohamed T. Ali, Ahmed Elnakib, Ahmed Shalaby, Ali Mahmoud, Sohail Contractor, Gregory N. Barnes, Ayman El-Baz:
Precision Diagnosis of Autism Through Resting FMRI and Machine Learning. 1-4 - Wei Dai, Zixuan Wu, Rui Liu, Junxian Zhou, Min Wang, Tianyi Wu, Jun Liu:
Sosegformer: A Cross-Scale Feature Correlated Network For Small Medical Object Segmentation. 1-4 - Marion Savanier, Claude Comtat, Florent Sureau:
Learning with Fixed Point Condition for Convergent PNP PET Reconstruction. 1-5 - Baoye Xie, Xiao Zhang, Kun Huang, Xiao Ma, Zetian Zhang, Qiang Chen:
OCT Image Generation for Subretinal Fluid Segmentation with Finite Element Structure Modeling. 1-5 - Mohamed Lamine Allaoui, Mohand Saïd Allili:
MEDiXNet: A Robust Mixture of Expert Dermatological Imaging Networks for Skin Lesion Segmentation. 1-5 - Atika Rahman Paddo, Ria Treesa Raju, Judy Wawira Gichoya, Saptarshi Purkayastha:
A Scoping Review on Quantization Methods for Medical Imaging AI. 1-5 - Julian Laue, Christian Adolph, Eren Bora Yilmaz, Carsten Meyer:
Using Unlabeled Data in Self-Supervised Training Improves Automatic Vertebral Body Fracture Assessment. 1-5 - Sushmita Sarker, Prithul Sarker, George Bebis, Alireza Tavakkoli:
MV-Swin-T: Mammogram Classification with Multi-View Swin Transformer. 1-5 - Abhiroop Talasila, Maitreya Maity, U. Deva Priyakumar:
Self-Supervised Modality-Agnostic Pre-Training of Swin Transformers. 1-5 - Tushar Kataria, Beatrice S. Knudsen, Shireen Y. Elhabian:
Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity. 1-5 - Weiren Zhao, Lanfeng Zhong, Guotai Wang:
SEMI-CONTRANS: Semi-Supervised Medical Image Segmentation via Multi-Scale Feature Fusion and Cross Teaching of CNN and Transformer. 1-5 - Zhongrui Huang, Caiwen Jiang, Jinchen Gu, Xinyi Cai, Han Zhang, Feihong Liu, Dinggang Shen:
Accelerating DWI Data Acquisition: Reconstruction Using Graph-Driven Denoising Diffusion Probabilistic Model. 1-5 - Boah Kim, Tejas Sudharshan Mathai, Kimberly Helm, Ronald M. Summers:
Automated Classification of Multi-Parametric Body MRI Series. 1-5 - Yu Zhou, Shuo Zhao, Justin Sonneck, Jianxu Chen:
2D Label-Free Prediction of Multiple Organelles Across Different Transmitted-Light Microscopy Images with Bag-of-Experts. 1-4 - Joris V. de Nijs, Tim J. M. Jaspers, Franciscus H. A. Bakker, Willem M. Brinkman, Peter H. N. de With, Fons van der Sommen:
Automated Surgical Urethral Length Estimation for Robot-Assisted Radical Prostatectomy. 1-5 - Soumya Snigdha Kundu, Yuanhan Mo, Nicharee Srikijkasemwat, Bartlomiej W. Papiez:
Spinal Osteophyte Detection Via Robust Patch Extraction on Minimally Annotated X-Rays. 1-5 - Zhuo Deng, Zheng Gong, Weihao Gao, Jingyan Yang, Lei Shao, Fang Li, Wenbin Wei, Lan Ma:
FTSEGNET: A Novel Transformer-Based Fundus Tumor Segmentation Model Guided by Pre-Trained Classification Results. 1-5 - Jie Zhou, Biao Jie, Zhengdong Wang, Zhixiang Zhang, Wei Shao, Weixin Bian, Yang Yang, Tongchun Du:
Double Collaborative Learning on Functional Brain Networks for Brain Disease Classification. 1-5 - Chunjiang Wang, Yunjie Gu, Pengbo Liu, Shang Zhao, S. Kevin Zhou:
E-DM: Evaluating Diffusion Model by Conformal Prediction. 1-5 - Yi-Zeng Fang, Juinn-Dar Huang:
Enhancing Brain Tumor Segmentation with Deep Supervision and Attention Mechanisms: Advances in the nnU-Net Framework. 1-4 - Roy Hirsch, Jacob Goldberger:
A Conformalized Learning of a Prediction Set with Applications to Medical Imaging Classification. 1-5 - Pejman Hashemibakhtiar, Thierry Cresson, Marie-Lyne Nault, Jacques A. de Guise, Carlos Vázquez:
2D/3D Reconstruction of The Distal Tibiofibular Joint from Biplanar Radiographs Using Deep Learning Registration and Statistical Shape and Intensity Model. 1-4 - Simon C. K. Chan, Lulin Shi, Bingxin Huang, Terence T. W. Wong:
Local Spatial Attention Transformer For Sparse Photoacoustic Image Reconstruction. 1-5 - Forest Yang, Skander Jemaa, Thomas Bengtsson, Laurent El Ghaoui:
Metastatic Lung Cancer Prognosis Via Deep Image-Based Lesion Prioritization. 1-5 - Moritz Kunzmann, M. Carolina Elizondo-Cantú, Ilka B. Bischofs, Karl Rohr:
Bacteria Tracking and Division Detection Using Graph Neural Networks. 1-5 - Lev Ayzenberg, Raja Giryes, Hayit Greenspan:
DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation. 1-5 - Hilda Chourak, Pierre Fontaine, Aurélien Briens, Renaud de Crevoisier, Oscar Acosta, Carlos Sosa Marrero:
Radiomics and Mechanistic Hybrid Model for Prediction of Recurrence in Prostate Cancer. 1-4 - Mourad Gridach, Mohammad Alsharid, Jianbo Jiao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Dual Representation Learning From Fetal Ultrasound Video and Sonographer Audio. 1-4 - Margo Sabry, Hossam Magdy Balaha, Khadiga M. A. Seddik, Hassan Soliman, Dibson D. Gondim, Mohammed Ghazal, Tania Tahtouh, Ayman El-Baz:
A Vision Transformer Approach for Breast Cancer Classification in Histopathology. 1-4 - Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Degan Hao, Jules H. Sumkin, Shandong Wu:
Knowledge-Guided Multi-Task Learning for Breast Cancer Diagnosis Using Longitudinal Mammogram Images. 1-5 - Arash Atibi, Abdulaziz Alqahtani, Mohammed Younis, Chrysanthe Preza:
Impact of Regularization on Achieved Resolution in 3d Tunable Structured Illumination Microscopy (TSIM). 1-5 - Arwa Al-Rubaian, Gozde Nur Gunesli, Wajd A. Althakfi, Ayesha Azam, Nasir M. Rajpoot, Shan E Ahmed Raza:
Cell Maps Representation for Lung Adenocarcinoma Growth Patterns Classification in Whole Slide Images. 1-5 - Louise Friot-Giroux, Françoise Peyrin, Voichita Maxim:
Assessment of Deep-Learning Methods for the Enhancement of Experimental Low Dose Dental CBCT Volumes. 1-4 - Luc Vedrenne, Étienne Baudrier, Denis Fortun:
Particle Detection Based on Few Shot Learning in 3D Fluorescence Microscopy. 1-5 - Raktim Kumar Mondol, Ewan K. A. Millar, Arcot Sowmya, Erik Meijering:
MM-Survnet: Deep Learning-Based Survival Risk Stratification in Breast Cancer Through Multimodal Data Fusion. 1-5 - Seoyoung Oh, Mélanie Pélégrini-Issac, Hélène Urien, Véronique Marchand-Pauvert, Jérémie Sublime:
Deep Neural Networks Comparison for MRI Segmentation of the Brainstem. 1-5 - Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed:
A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer. 1-5 - Demetris Gerogiannis, Anastasios Arsenos, Dimitrios Kollias, Dimitris Nikitopoulos, Stefanos D. Kollias:
Covid-19 Computer-Aided Diagnosis through AI-Assisted CT Imaging Analysis: Deploying a Medical AI System. 1-4 - Mahrukh Saeed, Julien Quarez, Hassna Irzan, Bava Kesavan, Matthew Elliot, Oscar MacCormac, James Knight, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados:
Blood Harmonisation of Endoscopic Transsphenoidal Surgical Video Frames on Phantom Models. 1-4 - Nil Stolt Ansó, Vasiliki Sideri-Lampretsa, Maik Dannecker, Daniel Rueckert:
Intensity-Based 3D Motion Correction for Cardiac MR Images. 1-4 - Sidaty El Hadramy, Juan Verde, Nicolas Padoy, Stéphane Cotin:
Towards Real-Time Vessel Guided Augmented Reality for Liver Surgery. 1-5 - Lei Xie, Qingrun Zeng, Huajun Zhou, Guoqiang Xie, Mingchu Li, Jiahao Huang, Jianan Cui, Hao Chen, Yuanjing Feng:
Anatomy-Guided Fiber Trajectory Distribution Estimation for Cranial Nerves Tractography. 1-5 - Shiyun Chen, Li Lin, Pujin Cheng, Xiaoying Tang:
ASLSEG: Adapting Sam in the Loop for Semi-Supervised Liver Tumor Segmentation. 1-5 - Huaqing He, Li Lin, Zhiyuan Cai, Pujin Cheng, Xiaoying Tang:
Unveiling the Power of High-Quality OCT: An Effective Fundus-based Modality Fusion Network for Fovea Localization. 1-5 - Yuyang Ren, Wenjian Liu, Zijian Zhou, Haiqun Qi, Peng Hu:
Accelerated 4D Flow MRI Using Deep Low-Rank Plus Sparse Neural Network and Complex Difference. 1-5 - Andrew Lizarraga, Brandon Taraku, Edouardo Honig, Ying Nian Wu, Shantanu H. Joshi:
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings. 1-5 - Mame Diarra Fall:
Quantifying Uncertainty in Knee Osteoarthritis Diagnosis. 1-5 - Najme Soleimani, Godfrey D. Pearlson, Armin Iraji, Vince D. Calhoun:
Double Functionally Independent Primitives Provide Disorder Specific Fingerprints of Mental Illnesses. 1-4 - Timo Van Meegdenburg, Gijs Luijten, Jens Kleesiek, Behrus Puladi, André Ferreira, Jan Egger, Christina Gsaxner:
A Baseline Solution for the ISBI 2024 Dreaming Challenge. 1-3 - Thalia Seale, Marcel Beetz, Blanca Rodríguez, Vicente Grau, Abhirup Banerjee:
Modelling Multi-Phase Cardiac Anatomy Using Point Cloud Variational Autoencoders. 1-5 - Felix Hasse, Florian Leiser, Ali Sunyaev:
Informed Machine Learning for Cardiomegaly Detection in Chest X-Rays: A Comparative Study. 1-5 - Isabella Poles, Eleonora D'Arnese, Darvin Yi, Marco D. Santambrogio:
A Physiological Variability Inspired Spatial Regularization for Joint Rigid-Deformable Abdominal MR Image Registration. 1-5 - Peng Li, Yuping Ji, Yue Hu:
Deep Structure-Preserved Graph Embedding for Improved MRF Reconstruction. 1-4 - Yingying Fang, Zihao Jin, Xiaodan Xing, Simon Walsh, Guang Yang:
Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery. 1-5 - Phuong Quynh Le, Jens Kleesiek, Constantin Seibold:
Enhancing Contrastive Training for Semi-Supervised Chest X-Ray Analysis Through Gaussian Mixture Models. 1-4 - Mingxin Liu, Yunzan Liu, Pengbo Xu, Jiquan Ma:
Unleashing the Infinity Power of Geometry: A Novel Geometry-Aware Transformer (Goat) for Whole Slide Histopathology Image Analysis. 1-5 - Olivia Krebs, Pallavi Tiwari:
Multi-Scale Co-Attention Transformer Model to Integrate Radiology, Histology, and Genomics: Application to Survival Prediction in Glioblastoma. 1-4 - Dimitris Filos, Dimitris Fotopoulos, Maria Anastasia Rouni, Ioanna Chouvarda:
Machine Learning-Based Whole Gland Radiomics Analysis for Prostate Cancer Classification. 1-5 - Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakus, Marco Allinovi, Hatice Ceylan Koydemir, Alin Achim:
Dubline: a Deep Unfolding Network for B-Line Detection in Lung Ultrasound Images. 1-4 - Roberto Basla, Loris Giulivi, Luca Magri, Giacomo Boracchi:
An Expert-Driven Data Generation Pipeline for Histological Images. 1-5 - Jinwei Zhang, Lianrui Zuo, Blake E. Dewey, Samuel W. Remedios, Dzung L. Pham, Aaron Carass, Jerry L. Prince:
Towards an Accurate and Generalizable Multiple Sclerosis Lesion Segmentation Model Using Self-Ensembled Lesion Fusion. 1-5 - Daniel Vallejo-Aldana, Alonso Ramirez-Manzanares, Erick Jorge Canales-Rodríguez, Thomas Yu, Abraham Cisneros-Mejorado, Luis Concha, Jonathan Rafael-Patino, Jean-Philippe Thiran:
In-Silico Trained AI for Enhanced T2 Spectrum Imaging and Myelin Water Fraction Mapping in Preclinical 7T MRI. 1-5 - Qisheng He, Nicholas Summerfield, Ming Dong, Carri Glide-Hurst:
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-Modality Self-Distillation. 1-5 - Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra:
Single Image Compressed Sensing MRI Via a Self-Supervised Deep Denoising Approach. 1-5 - Ujwala Chaudhari, Bisi Bode Kolawole, Giovanni Santacroce, Irene Zanmarchi, Rocío del Amor, Pablo Meseguer, Andrea Buda, Raf Bisschop, Valery Naranjo, Subrata Ghosh, Marietta Iacucci, Enrico Grisan:
Simultaneous Detection and Conversion Among Endoscopic Enhancement Modalities. 1-4 - Romain Perrin, Aurélie Leborgne, Nicolas Passat, Benoît Naegel, Cédric Wemmert:
Multi-Scale Component-Trees for Enhanced Representation in Multiplex Immunohistochemistry Imaging. 1-5 - Nhat-Tan Bui, Dinh-Hieu Hoang, Minh-Triet Tran, Gianfranco Doretto, Donald A. Adjeroh, Brijesh Patel, Arabinda Choudhary, Ngan Le:
SAM3D: Segment Anything Model in Volumetric Medical Images. 1-4 - Xingyue Wei, Lijie Huang, Hengrong Lan, Jianwen Luo:
A Pyramidal Optical Flow Method Based on Dense Sift Feature Maps for Motion Correction in Ultrafast Power Doppler Imaging. 1-4 - Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. 1-5 - Mohamed Yousuf, Samir Harb, Islam Alkabbany, Asem M. Ali, Salwa Elshazley, Aly A. Farag:
Colorectal Polyps Detection in Virtual Colonoscopy Using 3D Geometric Features and Deep Learning. 1-4 - Xiaosong Xiong, Xiao Zhang, Caiwen Jiang, Jiameng Liu, Zhiming Cui, Dijia Wu, Dinggang Shen:
Discontinuity-Aware Coronary Artery Segmentation on CCTA Image. 1-5 - Hao Wei, Peilun Shi, Guitao Bai, Minqing Zhang, Shuangle Li, Wu Yuan:
Leveraging Multimodal Fusion for Enhanced Diagnosis of Multiple Retinal Diseases in Ultra-Wide Octa. 1-5 - Xinwei Lai, Ying Wang, Jie Li, Zhusi Zhong, Xin Yang:
Mitigating Racial Bias in Chest X-Ray Disease Diagnosis Via Disentanglement Learning. 1-5 - Melanie Dohmen, Mirja Mittermaier, Josef Lorenz Rumberger, Li-Ling Yang, Achim D. Gruber, Mario Toennies, Stefan Hippenstiel, Dagmar Kainmueller, Andreas C. Hocke:
Simultaneous Lung Cell and Nucleus Segmentation From Labelled Versus Unlabelled Human Lung DIC Images. 1-5 - Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman:
A Deep Learning Framework To Characterize Noisy Labels In Epileptogenic Zone Localization Using Functional Connectivity. 1-5 - Shir Nitzan, Maya Gilad, Moti Freiman:
Automated Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy From DWI Data. 1-5 - Zhifan Jiang, Daniel Capellán-Martín, Abhijeet Parida, Xinyang Liu, María J. Ledesma-Carbayo, Syed Muhammad Anwar, Marius George Linguraru:
Enhancing Generalizability in Brain Tumor Segmentation: Model Ensemble with Adaptive Post-Processing. 1-4 - Richard D. Paul, Johannes Seiffarth, Hanno Scharr, Katharina Nöh:
Robust Approximate Characterization of Single-Cell Heterogeneity in Microbial Growth. 1-5 - Hemant Kumar Aggarwal, Phaneendra K. Yalavarthy, Rajesh Langoju:
Self-Supervised Noise-Aware Kernel Synthesis for Improved X-ray Computed Tomography Imaging. 1-4 - Anbo Cao, Pin-Yu Le, Zhonghui Qie, Yingwei Guo, Asim Zaman, Jiaxi Lu, Xueqiang Zeng, Huihui Yang, Xiaoqiang Miao, Taiyu Han, Guangtao Huang, Yu Luo, Yan Kang, Haseeb Hassan, Jia Guo:
Quantitative Perfusion Maps Using a Novelty Spatiotemporal Convolutional Neural Network. 1-5 - Yanming Zhu, Ari Tchetchenian, Xuefei Yin, Alan Wee-Chung Liew, Yang Song, Erik Meijering:
AC-UNet: Adaptive Connection UNet for White Matter Tract Segmentation Through Neural Architecture Search. 1-5 - Amel Imene Hadj Bouzid, Baudouin Denis de Senneville, Fabien Baldacci, Pascal Desbarats, Patrick Berger, Ilyes Benlala, Gaël Dournes:
CT Evaluation of 2D and 3D Holistic Deep Learning Methods for the Volumetric Segmentation of Airway Lesions. 1-5 - Chi Zhang, Omer Burak Demirel, Mehmet Akçakaya:
Cycle-Consistent Self-Supervised Learning for Improved Highly-Accelerated MRI Reconstruction. 1-5 - Debora Cafaro, Giovanni Cappello, Roberto Cannella, Tommaso Vincenzo Bartolotta, Giovanni Grignani, Alessandra Merlini, Daniele Regge, Valentina Giannini:
Bag-of-Words Algorithm to Predict Response to Treatment in Gist Tumors Using CT Scans. 1-5 - Vassilis Alimisis, Argyro Kamperi, Georgios Gennis, Paul P. Sotiriadis:
A Precise, Power-Efficient, Analog-Hardware Edge Detector for Biomedical Imaging. 1-5 - Hongyi Gu, Chi Zhang, Zidan Yu, Christoph Rettenmeier, V. Andrew Stenger, Mehmet Akçakaya:
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI. 1-5 - Luan Silva, Maria Carolina Coradini, Guilherme Alberto Sousa Ribeiro, Thiago Fellipe Ortiz de Camargo, Paulo Victor dos Santos, Giovanna Mendes, Joselisa de Paiva, Wesley Pacheco Calixto, Letícia Rittner, Rafael Loureiro, Márcio Reis, Anderson Soares:
Classification of Pulmonary Embolism on Computed Tomography Angiography Using Artificial Intelligence. 1-5 - Liyun Chen, Linlin Yao, Qian Wang, Zhong Xue:
Semi-Supervised Learning of Visual Attributes for Automated Assessment of Lung Nodule Malignancy. 1-5 - Szymon Mazurek, Rosmary Blanco, Joan Falcó-Roget, Alessandro Crimi:
Explainable Graph Neural Networks for EEG Classification and Seizure Detection in Epileptic Patients. 1-5 - María Jaramillo, Diego Bravo, Jose Miguel Quijano, Martín Gómez, Fabio A. González, Eduardo Romero:
Predicting Metaplasia in Upper Gastrointestinal Images from White Light Endoscopy. 1-5 - Tianle Han, Yifan Lv, Mengshen He, Yiheng Liu, Tianming Liu, Bao Ge:
Brain Cortical Surface Can Predict Fiber Trajectories. 1-4 - Rui Castro, Inês Sousa, Fábio Nunes, Jennifer Mancio, Ricardo Fontes-Carvalho, Carlos A. Ferreira, João Pedrosa:
Automated Visceral and Subcutaneous Fat Segmentation in Computed Tomography. 1-5 - Filip Lux, Petr Matula:
Cell Tracking Based on Integer Linear Programming and Probability Scores. 1-5 - Byung-Hoon Kim, Jungwon Choi, EungGu Yun, Kyungsang Kim, Xiang Li, Juho Lee:
Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification. 1-5 - Zhanghao Chen, Yifei Sun, Ruiquan Ge, Wenjian Qin, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang:
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images. 1-5 - Xinya Liu, Jianghao Wu, Xiangde Luo, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation. 1-5 - Daniel Petashvili, Hu Wang, Alison Deslandes, Jodie Avery, George Condous, Gustavo Carneiro, Louise Hull, Hsiang-Ting Chen:
Learning Subjective Image Quality Assessment for Transvaginal Ultrasound Scans from Multi-Annotator Labels. 1-5 - Jing Hu, Qinrui Fan, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
UMedNeRF: Uncertainty-Aware Single View Volumetric Rendering For Medical Neural Radiance Fields. 1-4 - Chucheng Chen, Zheng Gong, Zhuo Deng, Weihao Gao, Fang Li, Lan Ma, Lei Shao, Ruiheng Zhang, Wenbin Wei:
DBA-PMC: A Mutually Enhancing Dual-Branch Architecture for Pathologic Myopia and Myopic Maculopathy Classification. 1-5 - Amine Marzouki, Zhuxian Guo, Qinghe Zeng, Camille Kurtz, Nicolas Loménie:
Optimizing Lymphocyte Detection in Breast Cancer Whole Slide Imaging Through Data-Centric Strategies. 1-4 - Raphael Reme, Alasdair Newson, Elsa D. Angelini, Jean-Christophe Olivo-Marin, Thibault Lagache:
Particle Tracking in Biological Images with Optical-Flow Enhanced Kalman Filtering. 1-5 - Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos:
Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior. 1-5 - D. Vijay Anand, Moo K. Chung:
Hodge-Decomposition of Brain Networks. 1-5 - Roman Stoklasa, Ioannis Stathopoulos, Efstratios Karavasilis, Efstathios P. Efstathopoulos, Marek Dostál, Milos Kerkovský, Michal Kozubek, Luigi Serio:
Brain MRI Screening Tool with Federated Learning. 1-5 - Roberto Di Via, Matteo Santacesaria, Francesca Odone, Vito Paolo Pastore:
Is In-Domain Data Beneficial in Transfer Learning for Landmarks Detection in X-Ray Images? 1-5 - Ananya Subramaniam, Justin Namuk Kim, Juhwan Lee, Yingnan Song, Hao Wu, Naomi Joseph, Mohamed H. E. Makhlouf, Neda Shafiabadi Hassani, David L. Wilson:
Centerline Detection and Pericoronary Adipose Tissue Prediction Using Image-to-Image Regression in Coronary CTA Images. 1-5 - Linxi Zhao, Jiankai Tang, Dongyu Chen, Xiaohong Liu, Yong Zhou, Yuanchun Shi, Guangyu Wang, Yuntao Wang:
A Comprehensive Dataset and Automated Pipeline for Nailfold Capillary Analysis. 1-5 - Ioanna Skampardoni, Junhao Wen, Güray Erus, Haochang Shou, Konstantina S. Nikita, Christos Davatzikos:
Mutually-Constrained Cross-Sectional and Longitudinal Non-Negative Matrix Factorization: Application to Modeling Brain Aging Trajectories. 1-5 - Merve Gülle, Mehmet Akçakaya:
Robust Outer Volume Subtraction with Deep Learning Ghosting Detection for Highly-Accelerated Real-Time Dynamic MRI. 1-5 - Sanaz Karimijafarbigloo, Reza Azad, Yury Velichko, Ulas Bagci, Dorit Merhof:
Leveraging Unlabeled Data for 3D Medical Image Segmentation Through Self-Supervised Contrastive Learning. 1-5 - Ricardo Bauchspiess, Mylène C. Q. Farias:
A Degradation-Robust Deep Learning Framework for MRI Brain Tumor Diagnosis. 1-4 - Muhammet Alkan, Gruschen Veldtman, Fani Deligianni:
Riemannian Prediction of Anatomical Diagnoses in Congenital Heart Disease Based on 12-Lead ECGS. 1-5 - Zhongfei Qing, Yan Liu, Qian Xu, Haiyan Li:
Fast 3D SAM: Crafting Large Vision Models for 3D Medical Image Segmentation via Token Clustering and Fine-Tuning. 1-4 - Ameiy Acharya, Chakka Sai Pradeep, Neelam Sinha:
Localizing and Assessing Node Significance in Default Mode Network Using Sub-Community Detection in Mild Cognitive Impairment. 1-4 - Poojitha Thota, Jai Prakash Veerla, Partha Sai Guttikonda, Mohammad Sadegh Nasr, Shirin Nilizadeh, Jacob M. Luber:
Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology Imaging. 1-5 - Ivo M. Baltruschat, Parvaneh Janbakhshi, Melanie Dohmen, Matthias Lenga:
Uncertainty Estimation in Contrast-Enhanced Mr Image Translation with Multi-Axis Fusion. 1-5 - Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang, Xiangyu Zhao, Dinggang Shen, Qian Wang:
MeLo: Low-Rank Adaptation is Better than Fine-Tuning for Medical Image Diagnosis. 1-5 - Sidra Aleem, Julia Dietlmeier, Eric Arazo, Suzanne Little:
ConvLoRA and AdaBN Based Domain Adaptation via Self-Training. 1-5 - Sayantan Dutta, Jonathan Mamou:
A Quantum Denoising-Based Red Framework for 250-Mhz & 500-Mhz Quantitative Acoustic-Microscopy Resolution Enhancement. 1-5 - André Ferreira, Gijs Luijten, Behrus Puladi, Jens Kleesiek, Victor Alves, Jan Egger:
Generalisation of Segmentation Using Generative Adversarial Networks. 1-4 - Akshata Tiwari, Brian Matejek, Daniel Haehn:
Non-Invasive Stress Monitoring From Video. 1-5 - Benjamin Dorra, Giacomo Nardi, Antoine Habis, Jean-Philippe Annereau, Jean-Christophe Olivo-Marin, Luis Briseño-Roa, Vannary Meas-Yedid:
Semi-Supervised Segmentation with Topological Penalization for Quantifying Retinal Degeneration in Histological Sections. 1-5 - Kangxian Xie, Siyu Huang, Sebastián Cajas Ordonez, Hanspeter Pfister, Donglai Wei:
S3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation. 1-5 - Jongwoo Kim, Min Kyu Jeong, Hyeongmin Park, Young Sin Ko, Mun Yong Yi:
Leveraging Spatial Relationships in Microscopic Images for Patient Cancer Diagnosis. 1-5 - Yunxin Zhong, Fuyue Wang, Chunyao Wang, Bing Han:
Pixelfixmatch: A Semi-Supervised Image Segmentation Method Based on Fixmatch with Pixel Attention. 1-5 - Eunjin Kim, Seunghoon Lee, Gitaek Kwon, Hyunwoo Kim, Jaeyoung Kim:
Multi-Stage Region-Based Neural Networks for Fine-Grained Glaucoma Screening. 1-4 - Stathis Hadjidemetriou, Ansgar Malich, Lorenz Damian Rossknecht, Ismini Papageorgiou:
Restoration of Whole-Body MRI for Intensity Nonuniformities with Discontinuities. 1-5 - George Dimas, Panagiotis G. Kalozoumis, Panagiotis Vartholomeos, Dimitris K. Iakovidis:
ArachNet: Interpretable Sub-Arachnoid Space Segmentation Using an Additive Convolutional Neural Network. 1-5 - Shenyuan Liang, Anuj Srivastava, Maurício Pamplona Segundo, Sudeep Sarkar, Sathyanarayanan N. Aakur:
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis. 1-4 - Yuli Wu, Weidong He, Dennis Eschweiler, Ningxin Dou, Zixin Fan, Shengli Mi, Peter Walter, Johannes Stegmaier:
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation. 1-5 - Shihao Zhang, Zhaodi Pei, Haonan Mou, Wenting Yang, Qing Li, Xia Wu:
Visual Explanations of Deep Convolutional Neural Network for EEG Brain Fingerprint. 1-5 - Hao Xie, Zixun Huang, Frank H. F. Leung, Ngai-Fong Law, Yakun Ju, Yong-Ping Zheng, Sai Ho Ling:
SATR: A Structure-Affinity Attention-Based Transformer Encoder for Spine Segmentation. 1-5 - Haibin Huang, Yue Cui, Mingxia Shi, Shan Yu:
Semi-Supervised Cerebrovascular Segmentation Using TOF-MRA Images Based on Label Refinement and Consistency Regularization. 1-5 - Ronrick Da-Ano, Olena Tankyevych, Gustavo Andrade-Miranda, Pierre-Henri Conze, Catherine Cheze Le Rest, Dimitris Visvikis:
Multi-Modal PET/CT Fusion for Automated PD-L1 Status Prediction in Lung Cancer. 1-5 - Kun Huang, Zhiqiang Xin, Jielin Gao, Xianghui Zou, Hongyan Li, Ziling Zhou:
Coarse To Refined Kidney Segmentation Leveraging The SDRLSE Algorithm. 1-5 - Akash Awasthi, Safwan Ahmad, Bryant Le, Hien Van Nguyen:
Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-Ray Image Analysis. 1-5 - Lingcong Cai, Yongcheng Li, Ying Lu, Yupeng Zhang, Jingyan Jiang, Genan Dai, Bowen Zhang, Jingzhou Cao, Zhongxiang Zhang, Xiaomao Fan:
Towards Cross-Domain Single Blood Cell Image Classification Via Large-Scale Lora-Based Segment Anything Model. 1-5 - Perla Mayo, Matteo Cencini, Ketan Fatania, Carolin M. Pirkl, Marion I. Menzel, Bjoern H. Menze, Michela Tosetti, Mohammad Golbabaee:
Deep Image Priors for Magnetic Resonance Fingerprinting with Pretrained Bloch-Consistent Denoising Autoencoders. 1-4 - Wenxuan Chen, Sirui Wu, Zhongsen Li, Shuai Wang, Xiaolei Song:
DS-COFFEE-Net: Dual-Stage Correspondence-Based Feature Fusion Edge Enhanced Network for Super-Resolution of CEST-MR Images. 1-5 - Haichao Peng, Wenkang Fan, Rui Li, Yong Peng, Xiongbiao Luo:
U-Attention Nested U-Transformer for Medical Image Segmentation. 1-5 - Ruthran Baskar, Emmanuel Sabu, Claudia Mazo:
Deep CNNs for Diabetic Retinopathy Classification: A Transfer Learning Perspective. 1-4 - Kangfu Han, Xiaomei Yue, Shijun Qiu, Feng Yang, Gang Li:
Diagnosis of Early Mild Cognitive Impairment in Type 2 Diabetes Mellitus by Deep Learning of Multimodal Images and Metadata. 1-4 - Kyriacos P. Constantinou, Ioannis Constantinou, Christos P. Loizou, Efthyvoulos Kyriacou, Andreas Panayides, Andrew Nicolaides, Constantinos S. Pattichis, Marios S. Pattichis:
Atherosclerotic Carotid Plaque AM-FM Texture Feature Variability in Ultrasound Video. 1-4 - Juhyung Ha, Nian Wang, Surendra Maharjan, Xuhong Zhang:
3D Volumetric Super-Resolution in Radiology using 3D RRDB-GAN. 1-5 - Sutuke Yibulayimu, Yudi Sang, Yanzhen Liu, Gang Zhu, Yu Wang, Chunpeng Zhao, Qiyong Cao, Xinbao Wu:
Automatic Pelvic Structure Restoration: A Sim-To-Real Approach via Recursive Pose Estimation Network. 1-5 - Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Krüger, Roland Opfer, Robin Mieling, Alexander Schlaefer:
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection. 1-4 - Ming Li, Guang Yang:
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation. 1-5 - Yang Yu, Jiahao Wang, Hanry Yu:
sqFibrosis: A Robust Liver Fibrosis Scoring System for Telepathology. 1-5 - Jia Li, Ran Zhang, Siqi Cai:
Multi-Scale Recursive Feature Interaction for Auditory Attention Detection Using EEG Signals. 1-5 - Assala Benmalek, Celia Cintas, Girmaw Abebe Tadesse, Roxana Daneshjou, Kush R. Varshney, Dalila Cherifi:
Evaluating the Impact of Skin Tone Representation on Out-of-Distribution Detection Performance in Dermatology. 1-5 - Juan Antonio K. Chong Chie, Scott C. Persohn, Ethan W. Miner, Charles P. Burton, Paul Salama, Paul Territo:
Total Variation Based 2D Image Registration of Post-Mortem Mouse Brain Images. 1-4 - Yuki Shigeyasu, Shota Harada, Akihiko Yoshizawa, Kazuhiro Terada, Naoki Nakazima, Mariyo Kurata, Hiroyuki Abe, Tetsuo Ushiku, Ryoma Bise:
Domain Generalization for Pathological Images Using the Storage Period Information. 1-5 - Roberto Mancebo-Martín, Lin Lin, Elena Dacal, Miguel A. Luengo-Oroz, David Bermejo-Peláez:
How many labels do I need? self-supervised learning strategies for multiple blood parasites classification in microscopy images. 1-5 - Kimberly Amador, Anthony J. Winder, Noah Pinel, Jens Fiehler, Matthias Wilms, Nils D. Forkert:
Unveiling the Temporal Patterns of a 4D CTP Stroke Lesion Outcome Prediction Model Through Attention Analysis. 1-5 - Weihao Weng, Xin Zhu, Mitsuyoshi Imaizumi, Shigeyuki Murono:
BAT: Behavior-Aware Temporal Contrastive Video Representation Learning. 1-5 - Kaiyang Fan, Min Zhang, Shouhai Xia, Junli Du, Pan Yang, Xiao Zhang, Jun Feng:
A Self-Attention Network With Position-Prior Guided Feature Mapping And Clustering For 3D Pancreas Segnentation. 1-5 - Gianni Allebosch, Matthias Vanhees, Hiep Luong, Peter Veelaert, Brian G. Booth:
Real-Time Video Enhancement for the Removal of Surgical Lighting Artifacts in Computer-Assisted Orthopedic Surgery. 1-5 - Yilun Qiu, Zhongxi Qiu, Yan Hu, Mingyang Bi, Yubo Wang, Jianwen Chen, Yitian Zhao, Heng Li, Jiang Liu:
Semi-ECNet: Edge-Consistency Based Semi-Supervised Retinal Vessel Segmentation Network. 1-5 - Pengfang Qian, Zijian Zhou, Peng Hu, Haikun Qi:
Unified Deep Learning for Simultaneous Cardiac Cine MRI Reconstruction, Motion Estimation and Segmentation. 1-4 - Cláudia S. Constantino, Francisco P. M. Oliveira, Sónia Leocádio, Mariana Silva, Carla Oliveira, Joana Correia Castanheira, Ângelo Silva, Sofia Vaz, Ricardo Teixeira, Manuel Neves, Paulo Lúcio, Cristina João, Susana Vinga, Durval Campos Costa:
A robust deep-learning model for fully automatic segmentation of lymphoma lesions on whole-body [18F]FDG PET/CT images. 1-4 - Wenkai Lu, Yonghao Wang, Yu Mao, Liangni Hu:
Ultrasound Rebeamforming Based Phase Aberration Correction. 1-4 - Juan M. Vargas, Taous-Meriem Laleg-Kirati:
Brain MRI Contrast Enhancement Based on the Schrödinger Spectrum. 1-5 - Xiang Feng, Chengkai Wang, Chengyu Wu, Yunxiang Li, Yongbo He, Shuai Wang, Yaqi Wang:
FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image. 1-5 - Gege Ma, Yuan Jin, Tianling Lyu, Geng Chen, Zhuoxuan Wu, Jiaqi Zhao, Wentao Zhu:
MM-DCNet: A Multi-Scale and Multi-MOdality Dynamic Convolutional Network for Lung Cancer Subtypes Classification. 1-5 - Yu Weng, Bolek Zapiec, Volker Blanz, Peter Mombaerts:
A Weighted Consensus Deep Learning Method for the Fusion of Object Segmentation Models and its Application to Glomeruli of the Mouse Olfactory Bulb. 1-5 - Yayuan Lu, Zheyu Zhang, Yueyi Zhang, Yunwei Ou, Xiaoyan Sun:
Semi-Supervised Medical Image Segmentation Via Dynamic Pseudo-Label Refinement. 1-5 - Ntaniel Rez, Pantelis Asvestas:
Aria App | LittleOne Edition, an All-in-One Application for Processing Medical Images and Developing U-Net Models. 1-5 - Hao Li, Quanwei Liu, Jianan Liu, Xiling Liu, Yanni Dong, Tao Huang, Zhihan Lv:
Unpaired MRI Super Resolution with Contrastive Learning. 1-5 - Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries. 1-5 - Yudong Zhang, Deguang Kong, Juanjuan Li, Tao Yang, Feng Yao, Ge Yang:
Using Segment-Level Attention to Guide Breast Ultrasound Video Classification. 1-5 - Evangelia Karali, Christos Michail, George Fountos, Nektarios Kalyvas, Ioannis Valais:
Evaluation of X-Ray Detector Schemes in Small Animal Cone Beam Tomography. 1-5 - Erwan Dereure, Christophe Kervazo, Johanne Seguin, Anikitos Garofalakis, Nathalie Mignet, Elsa D. Angelini, Jean-Christophe Olivo-Marin:
Wavelet-Based Sparse Non-Negative Matrix Factorization for Bioluminescent Imaging Unmixing. 1-5 - Karim Makki, Adrien Bartoli:
Reconstructing the Normal and Shape at Specularities in Endoscopy. 1-5 - Ling Lin, Yihang Zhou, Zhanqi Hu, Dian Jiang, Congcong Liu, Shuo Zhou, Yanjie Zhu, Jianxiang Liao, Dong Liang, Hairong Zheng, Haifeng Wang:
Pediatric TSC-Related Epilepsy Classification from Clinical Mr Images Using Quantum Neural Network. 1-5 - Daniel Franco-Barranco, Aitor González-Marfil, Ignacio Arganda-Carreras:
Self-supervised Vision Transformers for image-to-image labeling: a BiaPy solution to the LightMyCells Challenge. 1-5 - Anees Ur Rehman Hashmi, Dwarikanath Mahapatra, Mohammad Yaqub:
Envisioning Medclip: A Deep Dive into Explainability for Medical Vision-Language Models. 1-5 - Kostantsa Lavntaniti, Marina E. Plissiti, Michalis Vrigkas, Christophoros Nikou:
Accurate Cell Segmentation Based on Generative Adversarial Networks and Nuclei Guide Factors. 1-4 - Yingying Xu, Yinjie Wang, Qingqing Chen, Hongjie Hu, Huimin Huang, Lanfen Lin, Yen-Wei Chen, Jingsong Li, Hongxiang Lin:
FPGA Oriented Lightweight Deep Learning Inference for Liver Cancer Segmentation. 1-5 - Zhenghao Zhao, Hao Ding, Dawen Cai, Yan Yan:
Gated Multi-Scale Attention Transformer For Few-Shot Medical Image Segmentation. 1-5 - Kilian Zepf, Jes Frellsen, Aasa Feragen:
Navigating Uncertainty in Medical Image Segmentation. 1-5 - Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou:
Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. 1-5 - Shangqi Gao, Lisa Browning, Nasullah Khalid Alham, Andrew Protheroe, Keir Edwards, Josh Hamblin, Jens Rittscher, Clare Verrill:
Characterising borderline areas in bladder tumour grading with Bayesian graph neural networks. 1-5 - Tao Wang, Kai Zhang, Weijie Wang, Mingrui Ma, Ye Zhang, He Zhao, Guixia Liu:
U-HRMLP: Refining Segmentation Boundaries in Histopathology Images. 1-5 - Ching-En Chiu, Arieh Levy Pinto, Rasheda A. Chowdhury, Kim Christensen, Marta Varela:
Characterisation of Anti-Arrhythmic Drug Effects on Cardiac Electrophysiology Using Physics-Informed Neural Networks. 1-5 - Shuangyi Tan, Yinqi Cai, Xutao Lin, Wei Qi, Zhen Li, Xiang Wan, Guanbin Li:
ColonCLIP: An Adaptable Prompt-Driven Multi-Modal Strategy for Colonoscopy Image Diagnosis. 1-5 - Xiaowu Sun, Theofilos Belmpas, Ortal Yona Senouf, Emmanuel Abbe, Pascal Frossard, Bernard De Bruyne, Olivier Muller, Stéphane Fournier, Thabo Mahendiran, Dorina Thanou:
Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography. 1-5 - Abdullah Alsalemi, Anza Shakeel, Mollie Clark, Syed Ali Khurram, Shan E Ahmed Raza:
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images. 1-5 - Lucas Taipe, Jordi Bardales, Karelia Pena-Pena, Germán Comina, Margarita Segovia:
A Hybrid Approach Incorporating Superpixels for Diabetic Foot Lesion Segmentation Using YOLOv5 and SAM. 1-4 - Thibaud Brochet, Kangfu Han, Jiale Cheng, Fenqiang Zhao, Jérôme Lapuyade-Lahorgue, Su Ruan, Yi-Fang Tu, Sheng-Che Hung, Gang Li:
Neonatal Hypoxic Ischemic Encephalopathy Severity Grading Using Multimodal Swin Transformer. 1-4 - Jun Zhang, Bozhong Zheng, Na Ni, Guoqing Tong, Yingna Wu, Guangping Xie, Rui Yang:
Multimodal Local Representation Learning for Multi-Task Blastocyst Assessment. 1-5 - Nadia Badawi, Jaloliddin Rustamov, Zahiriddin Rustamov, Frederic Lesage, Nazar Zaki, Rafat Damseh:
Generative Adversarial Learning for OCT-TPM Vascular Domain Translation. 1-5 - Natthanich Hirunchavarod, Pornnakanok Phuphatham, Natnicha Sributsayakarn, Narawit Prathansap, Suchaya Pornprasertsuk-Damrongsri, Varangkanar Jirarattanasopha, Thanapong Intharah:
Deeptoothduo: Multi-Task Age-Sex Estimation and Understanding Via Panoramic Radiograph. 1-5 - Paul Hagemeyer, Thomas Lisson, Stefanie Dencks, Georg Schmitz:
Fourier Diffraction Theorem for 3d Ultrasound Imaging with a Row-Column Array. 1-5 - Zhangsihao Yang, Yi Su, Rahimeh Rouhi, Mohammad Farazi, Wenhui Zhu, Yanxi Chen, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Yalin Wang, Natasha Leporé:
Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer's Disease Pathology Identification. 1-5 - Ye Wu, Yue Ding, Xiaoming Liu, Jiaolong Qin, Yizhe Zhang, Yoonmi Hong, Tao Zhou:
SMNET: A Spherical Mean Network for Probing Tissue Microarchitecture from Single-Shell DMRI. 1-4 - Lemeng Wang, Wentao Liu, Weijin Xu, Haoyuan Li, Huihua Yang, Feng Gao:
TSI-NET: A Timing Sequence Image Segmentation Network for Intracranial Artery Segmentation in Digital Subtraction Angiography. 1-5 - Zijun Zhang, Xuanheng Li, Xiaohong Ma, Yi Sun:
E-Transunet: Enhanced Transunet for Medical Image Segmentation. 1-5 - E. Morel Corlu, Antoine Petit, Yan Rolland, Florent Lalys, Pascal Haigron, Mireille Garreau:
Toward a Deep Learning Prediction of the Biodistirbution of Radioactivity in Selective Internal Radiotherapy. 1-5 - Jana Osstyn, Femke Danckaers, Andreas Verstreken, Annemieke Van Haver, Matthias Vanhees, Jan Sijbers:
Statistical Shape Model Guided Virtual Reduction of Displaced Distal Radius Fractures. 1-5 - Johannes Kiechle, Stefan M. Fischer, Daniel M. Lang, Maxime Di Folco, Sarah C. Foreman, Verena K. N. Rösner, Ann-Kathrin Lohse, Carolin Mogler, Carolin Knebel, Marcus R. Makowski, Klaus Woertler, Stephanie E. Combs, Alexandra S. Gersing, Jan C. Peeken, Julia A. Schnabel:
Unifying Local and Global Shape Descriptors to Grade Soft-Tissue Sarcomas Using Graph Convolutional Networks. 1-5 - Hamza Mentagui, Luca Calatroni, Sébastien Schaub, Laure Blanc-Féraud:
Physics-Inspired Generative Adversarial Modelling for Fluctuation-Based Super-Resolution Microscopy. 1-4 - Yinyu Ye, Shijing Chen, Dong Ni, Ruobing Huang:
Triaug: Out-Of-Distribution Detection for Imbalanced Breast Lesion in Ultrasound. 1-5 - Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris:
Inference Stage Denoising for Undersampled MRI Reconstruction. 1-5 - Xiaodan Xing, Huiyu Zhou, Yingying Fang, Guang Yang:
Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images. 1-5 - Jing Yang, Jian Cheng, Cheng Li, Wenxin Fan, Juan Zou, Ruoyou Wu, Qiegen Liu, Hairong Zheng, Shanshan Wang:
Simultaneous Q-Space Sampling Optimization and Reconstruction for Fast and High-Fidelity Diffusion Magnetic Resonance Imaging. 1-4 - Shangxuan Li, Baoer Liu, Feilin Deng, Yikai Xu, Wu Zhou:
Image Synthesis of Hepatobiliary Phase using Contrast-Enhanced MRI and Diffusion Model. 1-5 - Shangqing Tong, Hengrong Lan, Daohuai Jiang, Liming Nie, Jianwen Luo, Fei Gao:
Enhancing Sparse Photoacoustic Tomography Reconstruction with Score-Based Generative Models. 1-4 - Omnia Alwazzan, Ioannis Patras, Gregory G. Slabaugh:
FOAA: Flattened Outer Arithmetic Attention for Multimodal Tumor Classification. 1-5 - Noémie Moreau, Michelle Shabani, Christoph Schell, Katarzyna Bozek:
GLOMNET: A Hover Deep Learning Model for Glomerulus Instance Segmentation. 1-5 - Hong Wu, Juan Fu, Hongsheng Ye, Yuming Zhong, Xuebin Zou, Jianhua Zhou, Yi Wang:
Multi-Modality Transrectal Ultrasound Video Classification for Identification of Clinically Significant Prostate Cancer. 1-5 - Andrew Mobberley, Georgios K. Papageorgiou, Mairead B. Butler, Julian Keanie, Daniel Good, Kevin Gallagher, A. McNeill, Vassilis Sboros, Weiping Lu:
Super Resolution Ultrasound Imaging Biomarkers in Prostate Cancer. 1-4 - Arthur Longuefosse, Baudouin Denis de Senneville, Gaël Dournes, Ilyes Benlala, Pascal Desbarats, Fabien Baldacci:
Incorporating 3D Information in 2.5D Networks: Strategies for MR to CT Synthesis. 1-5 - Sijia Du, Qingwei Zhang, Zhengjie Zhang, Crystal Cai, Xiaobo Li, Dahong Qian:
Polyp Size Estimation by Generalizing Metric Depth Estimation And Monocular 3D Reconstruction. 1-5 - Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang:
Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning. 1-5 - Fenghe Tang, Jianrui Ding, Quan Quan, Lingtao Wang, Chunping Ning, S. Kevin Zhou:
CMUNEXT: An Efficient Medical Image Segmentation Network Based on Large Kernel and Skip Fusion. 1-5 - Shrimanti Ghosh, Banafshe Felfeliyan, Yuyue Zhou, Shaobo Liu, Jessica Knight, Natasha Akhlaq, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko:
Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder. 1-4 - Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
Robust Quantification of Percent Emphysema on CT Via Domain Attention: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. 1-5 - Sebastian Doerrich, Tobias Archut, Francesco Di Salvo, Christian Ledig:
Integrating kNN with Foundation Models for Adaptable and Privacy-Aware Image Classification. 1-5 - Deepa Anand, Vanika Singhal, Rakesh Mullick, Uday Patil, Sandeep Dutta, Bipul Das:
Estimating deviation from Canonical Orientation for CT Head images. 1-4 - Pierre Auriau, Antoine Grigis, Benoit Dufumier, Robin Louiset, Joël Chavas, Pietro Gori, Jean-François Mangin, Edouard Duchesnay:
Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders. 1-5 - Jiaqi Cui, Yuanyuan Xu, Jianghong Xiao, Yuchen Fei, Jiliu Zhou, Xingchen Peng, Yan Wang:
Dose Prediction Driven Radiotherapy Parameters Regression via Intra- and Inter-Relation Modeling. 1-4 - Pin-Yu Lee, Shubh P. Mehta, Anurag Sharma, Hong-Jian Wei, Antonios N. Pouliopoulos, Yanting Yang, Chenghao Zhang, Andrew F. Laine, Elisa E. Konofagou, Cheng-Chia Wu, Jia Guo:
Deep Learning Enables Reduced Gadolinium Dose for Contrast-Enhanced Blood-Brain Barrier Opening Quantitative Measurement. 1-5 - Zinan Xiong, Shuijiao Chen, Yizhe Zhang, Yu Cao, Benyuan Liu, Xiaowei Liu:
Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos. 1-5 - Xiangwen Cai, Haijun Lei, Zhenquan Wu, Hai Xie, Guoming Zhang, Baiying Lei:
DCI-FQA: Dual-Branch Cross Interaction Network for Fundus Quality Assessment. 1-4 - Mairead B. Butler, Georgios K. Papageorgiou, Andrew Mobberley, Evangelos Kanoulas, N. Leslie, Julian Keanie, Kevin Gallagher, Daniel Good, A. McNeill, Weiping Lu, Vassilis Sboros:
Feasibility of a Vascular-Specific Super Resolution Ultrasound Algorithm for Prostate Cancer Imaging. 1-4 - Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias:
Geometric Deep Learning for Sulcal Graphs. 1-5 - Nagasoujanya Annasamudram, Sokratis Makrogiannis:
A Joint Scale Analysis And Machine Learning Framework For Cell Detection And Segmentation In Time Lapse Microscopy. 1-5 - Bowei Shen, Xiaoquan Huang, Yonghong Shi, Shiyao Chen:
Dual Bidirectional Copy-Paste with Shape Constraint for Semi-Supervised Image Segmentation. 1-5 - Faizanuddin Ansari, Agnish Bhattacharya, Biswajit Saha, Swagatam Das:
Mo2E: Mixture of Two Experts for Class-Imbalanced Learning from Medical Images. 1-5 - Aditya Shankar Pal, Debojyoti Biswas, Joy Mahapatra, Debasis Banerjee, Prantar Chakrabarti, Alejandro F. Frangi, Utpal Garain:
Pathologist-Like Explanations Unveiled: An Explainable Deep Learning System for White Blood Cell Classification. 1-5 - Dingjie Su, Yubo Fan, Yike Zhang, Benoit M. Dawant:
3D Shape Correspondence for Medical Applications Using Neural Descriptor Fields. 1-5 - Mevan Ekanayake, Zhifeng Chen, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen:
Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining. 1-4 - Matthias Hadlich, Zdravko Marinov, Moon Kim, Enrico Nasca, Jens Kleesiek, Rainer Stiefelhagen:
Sliding Window Fastedit: A Framework for Lesion Annotation in Whole-Body Pet Images. 1-5 - Hui Lin, Charilaos Apostolidis, Aggelos K. Katsaggelos:
Brighteye: Glaucoma Screening with Color Fundus Photographs Based on Vision Transformer. 1-4 - Maria Giulia Preti, Dimitri Van De Ville:
Temporal Fluctuations of Brain Structure-Function Coupling as a Potential Marker of Drowsiness During Resting State. 1-5 - Raghavv Goel, Cecilia G. Morales, Manpreet Singh, Artur Dubrawski, John M. Galeotti, Howie Choset:
Motion-Aware Needle Segmentation in Ultrasound Images. 1-4 - Junjie Hou, Nianxi Liao, Jia Liu, Yuhang Liu, Jianxing Qiu:
Learning Disentangled Representation for Vessel-Specific Coronary Artery Calcium Scoring. 1-5 - Gianfranco Cortés, Yue Yu, Robin Chen, Melissa J. Armstrong, David E. Vaillancourt, Baba C. Vemuri:
Higher Order Gauge Equivariant Convolutions for Neurodegenerative Disorder Classification. 1-4 - Giulio Del Corso, Eva Pachetti, Rossana Buongiorno, Ana Carolina Rodrigues, Danila Germanese, Maria Antonietta Pascali, José G. de Almeida, Nuno Miguel Rodrigues, Manolis Tsiknakis, Nickolas Papanikolaou, Daniele Regge, Kostas Marias, ProCAncer-I Consortium, Sara Colantonio:
Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer. 1-4 - Maxime Dieudonné, Guillaume Auzias, Julien Lefèvre:
Scale-Controlled Sulcal Depth Estimation. 1-5 - Lukas Hecker, Amita Giri, Dimitrios Pantazis, Amir Adler:
Localization of Spatially Extended Brain Sources by Flexible Alternating Projection (FLEX-AP). 1-5 - Tiezheng Zhang, Xiaoxi Chen, Chongyu Qu, Alan L. Yuille, Zongwei Zhou:
Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training? 1-5 - Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang, Kan Liu, Milan Sonka, Xiaodong Wu:
Surf-CDM: Score-Based Surface Cold-Diffusion Model for Medical Image Segmentation. 1-5 - Hengrong Lan, Lijie Huang, Zhiqiang Li, Xingyue Wei, Jing Lv, Jianwen Luo:
Cross-Domain Self-Supervised Reconstruction for Photoacoustic Computed Tomography. 1-4 - Jie Wang, Xu Lu, Yihua Sun, Hee Guan Khor, Xueling Wei, Guochen Ning, Longfei Ma, Hongen Liao:
SPEVA: Stiffness Prediction from Environmental Visual Variation for Autonomous Robot-Assisted Soft Tissue Manipulation. 1-5 - Antonin Tranchon, Manuela Kunz, Lama Séoud:
Preoperative MRI Whole-Vertebrae Segmentation in Patients with Severe Adolescent Idiopathic Scoliosis. 1-5 - Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci:
Rethinking Intermediate Layers Design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. 1-6 - Mengyu Li, Magnus Magnusson, Thilo Van Eimeren, Lotta Maria Ellingsen:
Region-Based U-Net for Accelerated Training and Enhanced Precision in Deep Brain Segmentation. 1-5 - Ye Tao, Anand D. Sarwate, Sandeep R. Panta,