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pro vyhledávání: '"Aziz, Abu Zahid Bin"'
Transformers have emerged as the state-of-the-art architecture in medical image registration, outperforming convolutional neural networks (CNNs) by addressing their limited receptive fields and overcoming gradient instability in deeper models. Despit
Externí odkaz:
http://arxiv.org/abs/2403.11026
Statistical shape modeling (SSM) is an enabling quantitative tool to study anatomical shapes in various medical applications. However, directly using 3D images in these applications still has a long way to go. Recent deep learning methods have paved
Externí odkaz:
http://arxiv.org/abs/2310.01529
Autor:
Aziz, Abu Zahid Bin1 (AUTHOR) abuzahid.cse@gmail.com, Hasan, Md. Al Mehedi1 (AUTHOR), Shin, Jungpil2 (AUTHOR)
Publikováno v:
PLoS ONE. 2/23/2021, Vol. 16 Issue 2, p1-13. 13p.
Akademický článek
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Autor:
Aziz AZB; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA.; Kahlert School of Computing, University of Utah, Salt Lake City, Utah, USA., Adams J; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA.; Kahlert School of Computing, University of Utah, Salt Lake City, Utah, USA., Elhabian S; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA.; Kahlert School of Computing, University of Utah, Salt Lake City, Utah, USA.
Publikováno v:
Shape in medical imaging : International Workshop, ShapeMI 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. ShapeMI (Workshop) (2023 : Vancouver, B.C.) [Shape Med Imaging (2023)] 2023 Oct; Vol. 14350, pp. 157-172. Date of Electronic Publication: 2023 Oct 31.