Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Tony C. W. Mok"'
Autor:
Tony C. W. Mok, Albert C. S. Chung
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164453
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf8211e28a3ec827e53707c20371dd36
https://doi.org/10.1007/978-3-031-16446-0_3
https://doi.org/10.1007/978-3-031-16446-0_3
Autor:
Tony C. W. Mok, Albert C. S. Chung
Publikováno v:
Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis ISBN: 9783030972806
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::931b99b7e66207f5eaa4d2748da741e6
https://doi.org/10.1007/978-3-030-97281-3_23
https://doi.org/10.1007/978-3-030-97281-3_23
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031169601
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::163f9a20a83378927c13f09e2fe93c88
https://doi.org/10.1007/978-3-031-16961-8_4
https://doi.org/10.1007/978-3-031-16961-8_4
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783031210136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49521cbcf6b07add6f08bcf21d985fc3
https://doi.org/10.1007/978-3-031-21014-3_8
https://doi.org/10.1007/978-3-031-21014-3_8
Autor:
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Hager, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey Sonn, Theo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yael Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjolund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Grosbrohmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich
Publikováno v:
IEEE Transactions on Medical Imaging, 42, 697-712
IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, 42, 3, pp. 697-712
IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, 42, 3, pp. 697-712
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration ap- proaches on a wide range of clinically rele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea28bc9afdd4d697dac164a4507f9841
http://arxiv.org/abs/2112.04489
http://arxiv.org/abs/2112.04489
Autor:
Albert C. S. Chung, Tony C. W. Mok
Publikováno v:
Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data ISBN: 9783030718268
MICCAI (Challenges)
MICCAI (Challenges)
Deep learning-based methods have recently demonstrated remarkable results in deformable image registration for a wide range of medical image analysis tasks. However, most of the deep learning-based approaches are often limited to small deformation se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebb05660d48dd162050cc039e33fa2c9
https://doi.org/10.1007/978-3-030-71827-5_7
https://doi.org/10.1007/978-3-030-71827-5_7
Autor:
Albert C. S. Chung, Tony C. W. Mok
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
MICCAI (4)
Recent deep learning-based methods have shown promising results and runtime advantages in deformable image registration. However, analyzing the effects of hyperparameters and searching for optimal regularization parameters prove to be too prohibitive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20e569593734866dab00e540e0102673
https://doi.org/10.1007/978-3-030-87202-1_4
https://doi.org/10.1007/978-3-030-87202-1_4
Autor:
Albert C. S. Chung, Tony C. W. Mok
Publikováno v:
CVPR
Diffeomorphic deformable image registration is crucial in many medical image studies, as it offers unique, special properties including topology preservation and invertibility of the transformation. Recent deep learning-based deformable image registr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3487d86b43b67af90ede33c55a4931eb
http://arxiv.org/abs/2003.09514
http://arxiv.org/abs/2003.09514
Autor:
Albert C. S. Chung, Tony C. W. Mok
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597153
MICCAI (3)
MICCAI (3)
Deep learning-based methods have recently demonstrated promising results in deformable image registration for a wide range of medical image analysis tasks. However, existing deep learning-based methods are usually limited to small deformation setting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::208b016a82db19f802f2078176f0dbed
https://doi.org/10.1007/978-3-030-59716-0_21
https://doi.org/10.1007/978-3-030-59716-0_21
Autor:
Albert C. S. Chung, Tony C. W. Mok
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030117221
BrainLes@MICCAI (1)
BrainLes@MICCAI (1)
There is a common belief that the successful training of deep neural networks requires many annotated training samples, which are often expensive and difficult to obtain especially in the biomedical imaging field. While it is often easy for researche
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52905dff16d8ebc4ecc6972658a22faa
https://doi.org/10.1007/978-3-030-11723-8_7
https://doi.org/10.1007/978-3-030-11723-8_7