Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Mei-Heng Yueh"'
Autor:
Marco Sutti, Mei-Heng Yueh
Publikováno v:
AIMS Mathematics, Vol 9, Iss 7, Pp 19414-19445 (2024)
We propose a new Riemannian gradient descent method for computing spherical area-preserving mappings of topological spheres using a Riemannian retraction-based framework with theoretically guaranteed convergence. The objective function is based on th
Externí odkaz:
https://doaj.org/article/f5ac47f8512e47158e0d3c0c366a11c5
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract Utilizing the optimal mass transportation (OMT) technique to convert an irregular 3D brain image into a cube, a required input format for a U-net algorithm, is a brand new idea for medical imaging research. We develop a cubic volume-measure-
Externí odkaz:
https://doaj.org/article/edb363b4b4ec4164ab17d675700df6fc
Autor:
Wen-Wei Lin, Cheng Juang, Mei-Heng Yueh, Tsung-Ming Huang, Tiexiang Li, Sheng Wang, Shing-Tung Yau
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
Abstract Optimal mass transport (OMT) theory, the goal of which is to move any irregular 3D object (i.e., the brain) without causing significant distortion, is used to preprocess brain tumor datasets for the first time in this paper. The first stage
Externí odkaz:
https://doaj.org/article/a87e7ba877574d96b7c8a879d68a9c85
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/cb00fd6459454e47a74a05893ecd82f8
Publikováno v:
Annals of Mathematical Sciences and Applications. 7:49-96
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5ae7fe0972c37bc8cc33178824aaf0b
https://doi.org/10.4310/amsa.2022.v7.n1.a3
https://doi.org/10.4310/amsa.2022.v7.n1.a3
Publikováno v:
SIAM Journal on Imaging Sciences; 2023, Vol. 16 Issue 3, p1825-1855, 31p
Autor:
Mei-Heng Yueh
Publikováno v:
SIAM Journal on Imaging Sciences; 2023, Vol. 16 Issue 3, p1142-1176, 35p
Publikováno v:
SIAM Journal on Imaging Sciences. 14:1790-1815
Surface conformal parameterizations have been widely applied to various tasks in computer graphics. In this paper, we develop a convergent conformal energy minimization (CCEM) iterative algorithm v...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0ea1f5adeb70de38fc20c52a0d683a0
https://doi.org/10.1137/21m1415443
https://doi.org/10.1137/21m1415443
Autor:
Wei-Hung Liao, Mei-Heng Yueh
Publikováno v:
Journal of Scientific Computing. 92
Surface parameterization is a fundamental issue widely studied and applied in various image and geometry processing tasks, such as surface registration, remeshing, and texture mapping. In this paper, we propose an efficient constructive algorithm for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e25ba1d99c417e43a18ae3e3cb16d812
https://doi.org/10.1007/s10915-022-01898-5
https://doi.org/10.1007/s10915-022-01898-5
Publikováno v:
ETNA - Electronic Transactions on Numerical Analysis. 53:383-405
Surface parameterizations have been widely applied in computer-aided design for the geometric processing tasks of surface registration, remeshing, texture mapping, and so on. In this paper, we present an efficient balanced energy minimization algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::144c788eeb8c2f54e961b848ff1ff494
https://doi.org/10.1553/etna_vol53s383
https://doi.org/10.1553/etna_vol53s383