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CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.

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第一作者: Reuben,Dorent
第一单位: School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom. Electronic address: reuben.dorent@kcl.ac.uk.
作者单位: School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom. Electronic address: reuben.dorent@kcl.ac.uk. [1] School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom. [2] Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. [3] NVIDIA, Germany. [4] Department of Computing, Imperial College London, Department of Computing, London, United Kingdom. [5] Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, USA. [6] Moscow Institute of Physics and Technology, Moscow, Russia. [7] Universidad San Francisco de Quito, Quito, Ecuador. [8] Department of Radiology, Armed Forces Yangju Hospital, Yangju, Republic of Korea. [9] Vanderbilt University, Nashville, USA. [10] Center for Data Science, Peking University, Beijing, China. [11] Artificial Intelligence in Medicine Lab (BCN-AIM) and Human Behavior Analysis Lab (HuPBA), Universitat de Barcelona, Barcelona, Spain. [12] Institute of Medical Informatics, Universität zu Lübeck, Germany. [13] Inria, Université Côte d'Azur, Sophia Antipolis, France. [14] School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea. [15] Muroran Institute of Technology, Muroran, Japan. [16] University of South Florida, Tampa, USA. [17] Skolkovo Institute of Science and Technology, Moscow, Russia; Artificial Intelligence Research Institute (AIRI), Moscow, Russia. [18] University of Liverpool, Liverpool, United Kingdom; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, Suzhou, China. [19] School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China. [20] School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom; Department of Neurosurgery, King's College Hospital, London, United Kingdom. [21]
DOI 10.1016/j.media.2022.102628
PMID 36283200
发布时间 2024-09-18
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