Automatic Brain Tumor Segmentation by Exploring the Multi-modality Complementary Information and Cascaded 3D Lightweight CNNs. - Jun Ma 016; Xiaoping Yang 001 (BrainLes@MICCAI (2), 2018)

Automatic dental root CBCT image segmentation based on CNN and level set method. - Jun Ma 016; Xiaoping Yang 001 (Image Processing, 2019)

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge. - Nicholas Heller; Fabian Isensee; Klaus H. Maier-Hein; Xiaoshuai Hou; Chunmei Xie; Fengyi Li; Yang Nan 002; Guangrui Mu; Zhiyong Lin; Miofei Han; Guang Yao; Yaozong Gao; et al. (CoRR, 2019)

Cascaded Framework with Complementary CMR Information for Myocardial Pathology Segmentation. - Jun Ma 016 (MyoPS@MICCAI, 2020)

Histogram Matching Augmentation for Domain Adaptation with Application to Multi-centre, Multi-vendor and Multi-disease Cardiac Image Segmentation. - Jun Ma 016 (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Exploring Large Context for Cerebral Aneurysm Segmentation. - Jun Ma 016; Ziwei Nie (CADA@MICCAI, 2020)

Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET Images. - Jun Ma 016; Xiaoping Yang 001 (HECKTOR@MICCAI, 2020)

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study. - Jun Ma 016; Zhan Wei; Yiwen Zhang; Yixin Wang 003; Rongfei Lv; Cheng Zhu; Chen Gaoxiang; Jianan Liu; Chao Peng; Lei Wang; Yunpeng Wang; Jianan Chen 001 (MIDL, 2020)

Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation. - Jun Ma 016; Yixin Wang 003; Xingle An; Cheng Ge; Ziqi Yu; Jianan Chen 001; Qiongjie Zhu; Guoqiang Dong; Jian He; Zhiqiang He 002; Ziwei Nie; Xiaoping Yang 001 (CoRR, 2020)

A Fast Algorithm for Geodesic Active Contours with Applications to Medical Image Segmentation. - Jun Ma 016; Dong Wang 008; Xiao-Ping Wang 002; Xiaoping Yang 001 (CoRR, 2020)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; Jitae Shin; Tao Zhong 002; et al. (CoRR, 2020)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

COVID-19 CT Lung and Infection Segmentation Dataset. - Jun Ma 016; Cheng Ge; Yixin Wang 003; Xingle An; Jiantao Gao; Ziqi Yu; Minqing Zhang; Xin Liu; Xueyuan Deng; Shucheng Cao; Hao Wei; Sen Mei; et al. (Zenodo, 2020)

Pretrained 3D U-Net models for COVID-19 CT Lung and Infection Segmentation. - Jun Ma 016; Yixin Wang 003; Xingle An; Cheng Ge; Ziqi Yu (Zenodo, 2020)

Pretrained 2D U-Net models for COVID-19 CT Lung and Infection Segmentation. - Jun Ma 016; Yixin Wang 003; Xingle An; Cheng Ge; Ziqi Yu (Zenodo, 2020)

NnUNet with Region-based Training and Loss Ensembles for Brain Tumor Segmentation. - Jun Ma 016; Jianan Chen 001 (BrainLes@MICCAI (1), 2021)

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference. - Fabian Balsiger; Alain Jungo; Naren Akash R. J; Jianan Chen 001; Ivan Ezhov; Shengnan Liu; Jun Ma 016; Johannes C. Paetzold; Vishva Saravanan R; Anjany Sekuboyina; Suprosanna Shit; Yannick Suter; et al. (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Loss odyssey in medical image segmentation. - Jun Ma 016; Jianan Chen 001; Matthew Ng; Rui Huang; Yu Li 031; Chen Li; Xiaoping Yang 001; Anne L. Martel (Medical Image Anal., 2021)

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. - Kimberley M. Timmins; Irene C. van der Schaaf; Edwin Bennink; Ynte M. Ruigrok; Xingle An; Michael Baumgartner 001; Pascal Bourdon; Riccardo de Feo; Tommaso Di Noto; Florian Dubost; Augusto Fava-Sanches; Xue Feng 001; et al. (NeuroImage, 2021)

A Characteristic Function-Based Algorithm for Geodesic Active Contours. - Jun Ma 016; Dong Wang 008; Xiao-Ping Wang 002; Xiaoping Yang 001 (SIAM J. Imaging Sci., 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Learning Geodesic Active Contours for Embedding Object Global Information in Segmentation CNNs. - Jun Ma 016; Jian He; Xiaoping Yang 001 (IEEE Trans. Medical Imaging, 2021)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Guannan Li; Xiaopeng Zong; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; et al. (IEEE Trans. Medical Imaging, 2021)

Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge. - Ramtin Gharleghi; Dona Adikari; Katy Ellenberger; Sze-Yuan Ooi; Chris Ellis; Chung-Ming Chen; Ruochen Gao; Yuting He; Raabid Hussain; Chia-Yen Lee; Jun Li 103; Jun Ma 016; et al. (Comput. Medical Imaging Graph., 2022)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge. - Matthias Ivantsits; Leonid Goubergrits; Jan-Martin Kuhnigk; Markus Hüllebrand; Jan Brüning; Tabea Kossen; Boris Pfahringer; Jens Schaller; Andreas Spuler; Titus Kühne; Yizhuan Jia; Xuesong Li 003; et al. (Medical Image Anal., 2022)

Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. - Alain Lalande; Zhihao Chen 005; Thibaut Pommier; Thomas Decourselle; Abdul Qayyum; Michel Salomon; Dominique Ginhac; Youssef Skandarani; Arnaud Boucher; Khawla Brahim; Marleen de Bruijne; Robin Camarasa; et al. (Medical Image Anal., 2022)

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. - Jun Ma 016; Yao Zhang 010; Song Gu; Xingle An; Zhihe Wang; Cheng Ge; Congcong Wang; Fan Zhang; Yu Wang; Yinan Xu 004; Shuiping Gou; Franz Thaler; et al. (Medical Image Anal., 2022)

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. - Valentin Oreiller; Vincent Andrearczyk; Mario Jreige; Sarah Boughdad; Hesham Elhalawani; Joël Castelli; Martin Vallières; Simeng Zhu; Juanying Xie; Ying Peng; Andrei Iantsen; Mathieu Hatt; et al. (Medical Image Anal., 2022)

AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? - Jun Ma 016; Yao Zhang 010; Song Gu; Cheng Zhu; Cheng Ge; Yichi Zhang 007; Xingle An; Congcong Wang; Qiyuan Wang; Xin Liu; Shucheng Cao; Qi Zhang 059; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation. - Yunxiang Li; Meixu Chen; Wenxuan Yang; Kai Wang 053; Jun Ma 016; Alan C. Bovik; You Zhang 003 (CoRR, 2023)

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge. - Jun Ma 016; Yao Zhang 010; Song Gu; Cheng Ge; Shihao Ma; Adamo Young; Cheng Zhu; Kangkang Meng; Xin Yang 009; Ziyan Huang; Fan Zhang; Wentao Liu; et al. (CoRR, 2023)

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. - Jun Ma 016; Ronald Xie; Shamini Ayyadhury; Cheng Ge; Anubha Gupta; Ritu Gupta; Song Gu; Yao Zhang 010; Gihun Lee; Joonkee Kim; Wei Lou; Haofeng Li; et al. (CoRR, 2023)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 2023)

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. - Lei Li 020; Fuping Wu; Sihan Wang; Xinzhe Luo; Carlos Martín-Isla; Shuwei Zhai; Jianpeng Zhang; Yanfei Liu; Zhen Zhang 057; Markus J. Ankenbrand; Haochuan Jiang; Xiaoran Zhang; et al. (Medical Image Anal., 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation. - Jun Ma 016; Feifei Li 010; Bo Wang 044 (CoRR, 2024)

EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning. - Jingfeng Yao; Xinggang Wang; Yuehao Song; Huangxuan Zhao; Jun Ma 016; Yajie Chen; Wenyu Liu 001; Bo Wang 044 (CoRR, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge. - Jun Ma 016; Yao Zhang 010; Song Gu; Cheng Ge; Ershuai Wang; Qin Zhou; Ziyan Huang; Pengju Lyu; Jian He; Bo Wang 044 (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging. - Sergios Gatidis; Marcel Früh; Matthias Fabritius; Sijing Gu; Konstantin Nikolaou; Christian La Fougère; Jin Ye 002; Junjun He; Yige Peng; Lei Bi 001; Jun Ma 016; Bo Wang 044; et al. (Nat. Mac. Intell., 2024)

Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs. - Bonnie T. Chao; Andrew T. Sage; Micheal C. McInnis; Jun Ma 016; Micah Grubert Van Iderstine; Xuanzi Zhou; Jerome Valero; Marcelo Cypel; Mingyao Liu; Bo Wang 044; Shaf Keshavjee (npj Digit. Medicine, 2024)

MorphoDiff: Cellular Morphology Painting with Diffusion Models. - Zeinab Navidi; Jun Ma 016; Esteban Miglietta; Le Liu; Anne E. Carpenter; Beth A. Cimini; Benjamin Haibe-Kains; Bo Wang 044 (ICLR, 2025)

Corrigendum to "Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge" [Medical Image Analysis, April 2022, Volume 77, 102333]. - Matthias Ivantsits; Leonid Goubergrits; Jan-Martin Kuhnigk; Markus Hüllebrand; Jan Brüning; Tabea Kossen; Boris Pfahringer; Jens Schaller; Andreas Spuler; Titus Kühne; Yizhuan Jia; Xuesong Li 003; et al. (Medical Image Anal., 2025)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; Jonathan R. Krebs; Vishal Balaji Sivaraman; Teng Zhang; Amarjeet Kumar; Walker R. Ueland; Michael J. Fassler; Jinlong Huang; Xiao Sun; Lisheng Wang; Pengcheng Shi; Maximilian Rokuss; et al. (CoRR, 2025)

SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation. - Yunxiang Li; Meixu Chen; Kai Wang 053; Jun Ma 016; Alan C. Bovik; You Zhang 003 (IEEE Trans. Artif. Intell., 2025)