Title
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation H. Roth Ali Hatamizadeh Ziyue Xu Can Zhao Wenqi Li Andriy Myronenko Daguang Xu FedML 168 11 0 22 Aug 2022
Transforming the Interactive Segmentation for Medical ImagingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Wentao Liu Chaofan Ma Yu-Hao Yang Weidi Xie Ya Zhang MedIm 127 12 0 20 Aug 2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021 Carole H. Sudre K. V. Wijnen Florian Dubost H. Adams D. Atkinson ... F. Wolters P. Yilmaz M. Groot Meike W. Vernooij Marleen de Bruijne 86 26 0 15 Aug 2022
Recent Progress in Transformer-based Medical Image Analysis Zhao-cheng Liu Qiujie Lv Ziduo Yang Yifan Li Chau Hung Lee Leizhao Shen MedIm 364 82 0 13 Aug 2022
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation Jiamin Liang Yuhao Huang Haoming Li Shuangchi He Xindi Hu Zejian Chen Isabel Kaltenborn Dong Ni OOD 192 52 0 05 Aug 2022
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical ImagesIEEE journal of biomedical and health informatics (IEEE JBHI), 2022 Y. Jeon Hongfei Yang Mengling Feng 227 5 0 29 Jul 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 329 247 0 28 Jul 2022
High-Resolution Swin Transformer for Automatic Medical Image SegmentationItalian National Conference on Sensors (INS), 2022 Chen Wei Shenghan Ren Kaitai Guo Haihong Hu Jimin Liang ViT OOD MedIm 166 57 0 23 Jul 2022
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images Kristoffer Wickstrøm Eirik Agnalt Ostmo Keyur Radiya Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen SSL 153 20 0 11 Jul 2022
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image Segmentation Josafat-Mattias Burmeister M. Rosas J. Hagemann Jonas Kordt J. Blum Simon Shabo Benjamin Bergner I. A. Sinai 169 7 0 02 Jul 2022
Implicit U-Net for volumetric medical image segmentationAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2022 Jonathan Passerat-Palmbach G. Tarroni SSeg 135 3 0 30 Jun 2022
Deep Active Latent Surfaces for Medical Geometries Patrick M. Jensen Udaranga Wickramasinghe Anders B. Dahl Pascal Fua Vedrana Andersen Dahl MedIm 176 2 0 21 Jun 2022
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography Kyungsu Kim S. Oh J. Lee M. Chung 146 4 0 18 Jun 2022
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationNeural Information Processing Systems (NeurIPS), 2022 Yuanfeng Ji Haotian Bai Jie Yang Chongjian Ge Ye Zhu ... Zhuguo Li Lingyan Zhang Wanling Ma Xiang Wan Ping Luo OOD 286 432 0 16 Jun 2022
Federated Multi-organ Segmentation with Inconsistent LabelsIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Xuanang Xu H. Deng J. Gateno Pingkun Yan FedML 248 32 0 14 Jun 2022
The Open Kidney Ultrasound Data Set Rohit Singla Cailin Ringstrom Grace Hu V. Lessoway Janice Reid C. Nguan R. Rohling 164 30 0 14 Jun 2022
Fitting Segmentation Networks on Varying Image Resolutions using SplattingAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2022 Mikael Brudfors Yael Balbastre John Ashburner Geraint Rees P. Nachev Sebastien Ourselin M. Jorge Cardoso 146 1 0 13 Jun 2022
Brain tumour segmentation with incomplete imaging dataBrain Communications (BC), 2022 James K. Ruffle Samia Mohinta Robert J. Gray H. Hyare P. Nachev 196 14 0 13 Jun 2022
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices Owais Ali Hazrat Ali S. A. A. Shah A. Shahzad SSeg 137 37 0 06 Jun 2022
Metrics reloaded: Recommendations for image analysis validationNature Methods (Nat Methods), 2022 Lena Maier-Hein Annika Reinke Patrick Godau M. Tizabi Florian Buettner ... Aleksei Tiulpin Sotirios A. Tsaftaris Ben Van Calster Gaël Varoquaux Paul F. Jäger 409 329 0 03 Jun 2022
MaxStyle: Adversarial Style Composition for Robust Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Chong Chen Zeju Li Cheng Ouyang Matthew Sinclair Wenjia Bai Daniel Rueckert OOD 237 45 0 02 Jun 2022
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives Jun Li Junyu Chen Yucheng Tang Ce Wang Bennett A. Landman S. K. Zhou ViT OOD MedIm 393 139 0 02 Jun 2022
Dynamic Linear Transformer for 3D Biomedical Image Segmentation Zheyu Zhang Ulas Bagci ViT MedIm 212 16 0 01 Jun 2022
The Fully Convolutional Transformer for Medical Image SegmentationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Athanasios Tragakis Chaitanya Kaul Roderick Murray-Smith D. Husmeier ViT MedIm 150 97 0 01 Jun 2022
The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open dataZeitschrift für Medizinische Physik (Z Med Phys), 2022 T. Fechter I. Sachpazidis D. Baltas OOD AI4CE 198 5 0 16 May 2022
Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients Sai Vidyaranya Nuthalapati M. Vizcaychipi P. Shah P. Chudzik C. Leow Paria Yousefi Ahmed Selim K. Tait B. Irving OOD 203 1 0 10 May 2022
Model-agnostic Multi-Domain Learning with Domain-Specific Adapters for Action Recognition Kazuki Omi Jun Kimata Toru Tamaki 215 11 0 15 Apr 2022
Federated Cross Learning for Medical Image SegmentationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022 Xuanang Xu H. Deng Tianyi Chen Tianshu Kuang J. C. Barber Daeseung Kim J. Gateno J. Xia Pingkun Yan FedML OOD 205 24 0 05 Apr 2022
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation Ali Hatamizadeh Ziyue Xu Dong Yang Wenqi Li H. Roth Daguang Xu ViT MedIm 118 32 0 01 Apr 2022
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images A. Diaz-Pinto Sachidanand Alle V. Nath Yucheng Tang Alvin Ihsani ... Daguang Xu Prerna Dogra Sebastien Ourselin Andrew Feng M. Jorge Cardoso 192 100 0 23 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image SegmentationComputer Vision and Pattern Recognition (CVPR), 2022 An Xu Wenqi Li Pengfei Guo Dong Yang H. Roth Ali Hatamizadeh Can Zhao Daguang Xu Heng-Chiao Huang Ziyue Xu FedML 153 66 0 18 Mar 2022
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2022 Lei Zhou Huidong Liu Joseph Bae Junjun He Dimitris Samaras Prateek Prasanna MedIm ViT 181 111 0 10 Mar 2022
MixCL: Pixel label matters to contrastive learning Jun Li Quan Quan S. Kevin Zhou SSL 113 1 0 04 Mar 2022
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark Yunhe Gao Mu Zhou Ding Liu Zhennan Yan Shaoting Zhang Dimitris N. Metaxas ViT MedIm 609 94 0 28 Feb 2022
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation Pooya Ashtari Diana Sima L. De Lathauwer D. Sappey-Marinier F. Maes Sabine Van Huffel ViT MedIm 203 46 0 24 Feb 2022
Mixed-Block Neural Architecture Search for Medical Image Segmentation Martijn M.A. Bosma A. Dushatskiy Monika Grewal Tanja Alderliesten Peter A. N. Bosman SSeg 116 11 0 23 Feb 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron Asifullah Khan Dr. Saddam Hussain Khan Mahrukh Saif Asiya Batool A. Sohail Muhammad Waleed Khan 159 61 0 13 Feb 2022
Heed the Noise in Performance Evaluations in Neural Architecture Search A. Dushatskiy Tanja Alderliesten Peter A. N. Bosman 201 2 0 04 Feb 2022
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues Francesco La Rosa Maxence Wynen Omar Al-Louzi E. Beck Till Huelnhagen ... P. Sati Daniel Reich Cristina Granziera M. Absinta Meritxell Bach Cuadra 95 49 0 19 Jan 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation Reuben Dorent Aaron Kujawa M. Ivory Spyridon Bakas Nicola Rieke ... Kai Yao Li Zhang Sebastien Ourselin J. Shapey Tom Vercauteren OOD 249 102 0 08 Jan 2022
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 429 1,674 0 04 Jan 2022
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNetComputer Vision and Pattern Recognition (CVPR), 2021 Cheng-Fang Peng Andriy Myronenko Ali Hatamizadeh V. Nath M. R. Siddiquee Yufan He Daguang Xu Ramalingam Chellappa Dong Yang SSeg 235 25 0 20 Dec 2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results Raghav Mehta Angelos Filos Ujjwal Baid C. Sako Richard McKinley ... Christos Davatzikos Bjoern Menze Spyridon Bakas Y. Gal Tal Arbel UQCV 221 64 0 19 Dec 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning Alessa Hering Christoph Großbröhmer Tony C. W. Mok Albert C. S. Chung H. Siebert ... K. Murphy Nikolas Lessmann Bram van Ginneken Adrian Dalca M. Heinrich 274 239 0 08 Dec 2021
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation Yichi Zhang Rushi Jiao Qingcheng Liao Dongyang Li Jicong Zhang 198 84 0 05 Dec 2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Yucheng Tang Dong Yang Wenqi Li H. Roth Bennett Landman Daguang Xu V. Nath Ali Hatamizadeh ViT MedIm 361 711 0 29 Nov 2021
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 Himashi Peiris Munawar Hayat Zhaolin Chen Gary Egan Mehrtash Harandi ViT MedIm 194 178 0 26 Nov 2021
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation Cheng Ouyang Chen Chen Surui Li Zeju Li C. Qin Wenjia Bai Daniel Rueckert OOD 428 202 0 24 Nov 2021
Robust deep learning-based semantic organ segmentation in hyperspectral images Silvia Seidlitz Jiansheng Fang Jan Odenthal Berkin Özdemir Huazhu Fu ... Jiang-Dong Liu Martin Wagner Felix Nickel Beat P. Müller-Stich Lena Maier-Hein 160 23 0 09 Nov 2021
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image Xiangde Luo Wenjun Liao Jianghong Xiao Jieneng Chen Tao Song Xiaofan Zhang Kang Li Dimitris N. Metaxas Guotai Wang Shaoting Zhang 328 167 0 03 Nov 2021