Výsledky vyhledávání - "William M. Wells III"

Akademický článek

Automated white matter fiber tract identification in patients with brain tumors

Autor: Lauren J. O’Donnell, Yannick Suter, Laura Rigolo, Pegah Kahali, Fan Zhang, Isaiah Norton, Angela Albi, Olutayo Olubiyi, Antonio Meola, Walid I. Essayed, Prashin Unadkat, Pelin Aksit Ciris, William M. Wells III, Yogesh Rathi, Carl-Fredrik Westin, Alexandra J. Golby

Publikováno v: NeuroImage: Clinical, Vol 13, Iss C, Pp 138-153 (2017)

We propose a method for the automated identification of key white matter fiber tracts for neurosurgical planning, and we apply the method in a retrospective study of 18 consecutive neurosurgical patients with brain tumors. Our method is designed to b

Externí odkaz: https://doaj.org/article/b929fdf8722848c3b30c6bb5e8563c33

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Elektronická kniha

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Autor: Carole H. Sudre, Christian F. Baumgartner, Adrian Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III

This book constitutes the refereed proceedings of the Fourth Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2022, held in conjunction with MICCAI 2022. The conference was hybrid event held from Singapore.

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Elektronická kniha

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

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

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Representation Learning for Cross-Modality Classification

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)

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

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Bayesian Population Modeling of Effective Connectivity

Autor: William M. Wells-III, Eric R. Cosman

Publikováno v: Lecture Notes in Computer Science ISBN: 9783540265450
IPMI

A hierarchical model based on the Multivariate Autoreges- sive (MAR) process is proposed to jointly model neurological time-series collected from multiple subjects, and to characterize the distribution of MAR coefficients across the population from w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::46913978487704a2d0b8df2411e2d648
https://doi.org/10.1007/11505730_4

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