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pro vyhledávání: '"Jack, Dominic"'
Image convolutions have been a cornerstone of a great number of deep learning advances in computer vision. The research community is yet to settle on an equivalent operator for sparse, unstructured continuous data like point clouds and event streams
Externí odkaz:
http://arxiv.org/abs/2012.01170
Autor:
Michalkiewicz, Mateusz, Pontes, Jhony K., Jack, Dominic, Baktashmotlagh, Mahsa, Eriksson, Anders
Existing 3D surface representation approaches are unable to accurately classify pixels and their orientation lying on the boundary of an object. Thus resulting in coarse representations which usually require post-processing steps to extract 3D surfac
Externí odkaz:
http://arxiv.org/abs/1901.06802
Autor:
Gentile, Giordano, Mattiesing, Rozemarijn M., Brouwer, Iman, van Schijndel, Ronald A., Uitdehaag, Bernard M.J., Twisk, Jos W.R., Kappos, Ludwig, Freedman, Mark S., Comi, Giancarlo, Jack, Dominic, Barkhof, Frederik, De Stefano, Nicola, Vrenken, Hugo, Battaglini, Marco
Publikováno v:
In NeuroImage: Clinical 2023 38
Autor:
Jack, Dominic, Pontes, Jhony K., Sridharan, Sridha, Fookes, Clinton, Shirazi, Sareh, Maire, Frederic, Eriksson, Anders
Publikováno v:
Asian Conference on Computer Vision (ACCV) 2018
Representing 3D shape in deep learning frameworks in an accurate, efficient and compact manner still remains an open challenge. Most existing work addresses this issue by employing voxel-based representations. While these approaches benefit greatly f
Externí odkaz:
http://arxiv.org/abs/1803.10932
Autor:
Mattiesing, Rozemarijn M., Gentile, Giordano, Brouwer, Iman, van Schijndel, Ronald A., Uitdehaag, Bernard M.J., Twisk, Jos W.R., Kappos, Ludwig, Freedman, Mark S., Comi, Giancarlo, Jack, Dominic, De Stefano, Nicola, Barkhof, Frederik, Battaglini, Marco, Vrenken, Hugo
Publikováno v:
In NeuroImage: Clinical 2022 36
Publikováno v:
In Multiple Sclerosis and Related Disorders September 2021
Publikováno v:
Medical Devices: Evidence & Research; Feb2024, Vol. 17, p59-71, 13p
Akademický článek
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