| 1 |
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation |
hu cao (Technical University of Munich); Yueyue Wang (Fudan University); Joy Chen (Johns Hopkins University); Dongsheng Jiang (Huawei Cloud & AI)*; xiaopeng zhang (Huawei Cloud EI ); Qi Tian (Huawei Cloud & AI); Manning Wang (Fudan University) |
| 4 |
Self-Attention Capsule Network for Tissue Classification in case of Complex Medical Image Statistics |
Assaf Hoogi (Ariel university)*; Brian Wilcox (Stanford University); Yachee Gupta (Stanford University); Daniel Rubin (Stanford University) |
| 6 |
ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification |
Evan H Wen (The Pingry School)*; ReBecca Sorenson (Chinle Comprehensive Health Care Facility); Max Ehrlich (University of Maryland) |
| 7 |
Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI |
Noa Barzilay (Tel Aviv University); Ilya Nelkenbaum (Sheba Medical Center); Eli Konen (Sheba Medical Center); Nahum Kiryati (Tel-Aviv University); Arnaldo Mayer (Sheba Medical Center)* |
| 8 |
Complementary Phase Encoding for Pair-wise Neural Deblurring of Accelerated Brain MRI |
Gali Hod (Tel Aviv University); Michael Green (Computer science school, Ben-Gurion university, Israel)*; Mark Waserman (Sheba Medical Center); Eli Konen (Sheba Medical Center); Shai Shrot (Sheba Medical Center); Ilya Nelkenbaum (Sheba Medical Center); Nahum Kiryati (Tel-Aviv University); Arnaldo Mayer (Sheba Medical Center) |
| 13 |
Frequency dropout: Feature-level regularization via randomized filtering |
Mobarakol Islam (Imperial College London)*; Ben Glocker (Imperial College London) |
| 14 |
PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation |
Joachim JB Behar (Technion Israel Institute of Technology)*; Jonathan Fhima (Technion Israel Institute of Technology); Jan Van Eijgen ( KU Leuven); Ingeborg Stalmans (KU Leuven); Yevgeniy Men (Technion Israel Institute of Technology); Moti Freiman (Technion - Israel Institute of Technology) |
| 17 |
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement |
Ujjwal Upadhyay (Qure.ai)*; Mukul Ranjan (Qure.ai); Satish Golla (Qure.ai); Swetha Tanamala (Qure.ai); Sasank Chilamkurthy (Qure.AI); Preetham Putha (qure.ai); Jason W Tarpley (Pacific Neuroscience Institute); Dr Jeyaraj D Pandian (Christian Medical College Ludhiana) |
| 18 |
ExSwin-Unet: An Unbalanced Weighted Unet with Shifted Window and External Attentions for Fetal Brain MRI Image Segmentation |
Yufei Wen (South China University of Technology)*; Chongxin Liang (Shenzhen University); Jingyin Lin (Shenzhen University); Huisi Wu (Shenzhen University); Jing Qin (The Hong Kong Polytechnic University) |
| 19 |
Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI |
Bella Specktor Fadida (HUJI)*; Bossmat Yehuda (Sagol Brain Institute, Tel Aviv Sourasky Medical Center; Sagol School of Neuroscience, Tel Aviv University); Daphna Link-Sourani (Tel Aviv Sourasky Medical Center); Liat Ben Sira (Sackler Faculty of Medicine & Sagol School of Neuroscience, Tel Aviv University; Division of Pediatric Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv-Yafo); Dafna Ben Bashat (Tel-Aviv Sourasky Medical Center); Leo Joskowicz (HUJI) |
| 22 |
A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images |
Pranav Singh (New York University)*; Jacopo Cirrone (New York University) |
| 23 |
Bounded Future MS-TCN++ for surgical gesture recognition |
Adam Goldbraikh (Technion)*; Netanell Avisdris (School of computer science and engineering, Hebrew University of Jerusalem, Israel); Carla Pugh (Stanford University); Shlomi Laufer (Technion) |
| 27 |
Multi-Label Attention Map Assisted Deep Feature Learning for Medical Image Classification |
Dwarikanath Mahapatra (Inception Institute of Artificial Intelligence)*; Mauricio Reyes (University of Bern) |
| 30 |
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings |
Daniel Shats (Technion)*; Hadar Hezi (Technion); Guy Shani (Technion); Yosef Maruvka (Technion); Moti Freiman (Technion - Israel Institute of Technology) |
| 31 |
Segmenting Glandular Biopsy Images Using the Separate Merged Objects Algorithm |
David Sabban (University of Haifa); Ilan Shimshoni (University of Haifa)* |
| 35 |
CL-GAN: Contrastive Learning-based Generative Adversarial Network for Modality Transfer with Limited Paired Data |
Hajar Emami (Wayne State University)*; Ming Dong (Wayne State University); Carri Glide-Hurst (University of Wisconsin-Madison) |
| 36 |
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification |
Trinh Thi Le Vuong (Korea University)*; Dang Quoc Vu (University of Warwick); Mostafa Jahanifar (University of Warwick); Simon D Graham (University of Warwick); Jin Tae Kwak (Korea University); Nasir Rajpoot (University of Warwick) |
| 37 |
Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study |
Tobias Czempiel (Technical University of Munich)*; Aidean Sharghi (Intuitive Surgical Inc.); Magdalini Paschali (Stanford University); Nassir Navab ("TU Munich, Germany"); Omid Mohareri (Intuitive Surgical Inc.) |
| 39 |
RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function |
Balint Magyar (Pazmany Peter Catholic University)*; Marton Tokodi (Semmelweis University); Andras Soos (Pazmany Peter Catholic University); Mate Tolvaj (Semmelweis University); Balint Karoly Lakatos (Semmelweis University); Alexandra Fabian (Semmelweis University); Elena Surkova (Harefield Hospital); Bela Merkely (Semmelweis University); Atilla Kovacs (Semmelweis University); Andras Horvath (Pazmany Peter Catholic University) |