Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Albert C.S. Chung"'
Publikováno v:
Asian Journal of Surgery, Vol 30, Iss 4, Pp 298-301 (2007)
Endoluminal occlusion of giant intracranial aneurysms with coil embolization is a viable endovascular treatment option alternative to surgical clipping. However, due to the relatively large aneurysm size, the use of embolization coils for giant aneur
Externí odkaz:
https://doaj.org/article/f3129ff20a474c948bac1d7eca8c72d3
Autor:
Yongxiang Huang, Albert C.S. Chung
Publikováno v:
Medical image analysis. 77
The need for computational models that can incorporate imaging data with non-imaging data while investigating inter-subject associations arises in the task of population-based disease analysis. Although off-the-shelf deep convolutional neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::710540356cfc38987d12c8ec64de56a2
https://pubmed.ncbi.nlm.nih.gov/35144198
https://pubmed.ncbi.nlm.nih.gov/35144198
Autor:
Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, M. Jorge Cardoso, Georg Langs, Bjoern Menze, Dimitris Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C.S. Chung, Mark Jenkinson, Annemie Ribbens
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in
Autor:
van Tulder, Gijs, de Bruijne, Marleen, Henning Müller, William M. Wells III, Shaoting Zhang, Albert C.S. Chung, Mark Jenkinson, Annemie Ribbens, B. Michael Kelm, Tal Arbel, Weidong Cai, M. Jorge Cardoso, Georg Langs, Bjoern Menze, Dimitris Metaxas, Albert Montillo
Publikováno v:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging ISBN: 9783319611877
MCV/BAMBI@MICCAI
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers (Lecture Notes in Computer Science, vol. 10081), 126-136
STARTPAGE=126;ENDPAGE=136;TITLE=Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers (Lecture Notes in Computer Science, vol. 10081)
MCV/BAMBI@MICCAI
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers (Lecture Notes in Computer Science, vol. 10081), 126-136
STARTPAGE=126;ENDPAGE=136;TITLE=Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging : MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers (Lecture Notes in Computer Science, vol. 10081)
Differences in scanning parameters or modalities can complicate image analysis based on supervised classification. This paper presents two representation learning approaches, based on autoencoders, that address this problem by learning representation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::917af45bcbbe5696d828fa1e9100b5c9
https://doi.org/10.1007/978-3-319-61188-4_12
https://doi.org/10.1007/978-3-319-61188-4_12
Conference
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Conference
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