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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, 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 Bdadley, 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, Rocio 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