Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Vincent Stimper"'
Publikováno v:
IEEE Access, Vol 7, Pp 165437-165447 (2019)
Contrast enhancement is an important preprocessing technique for improving the performance of downstream tasks in image processing and computer vision. Among the existing approaches based on nonlinear histogram transformations, contrast limited adapt
Externí odkaz:
https://doaj.org/article/6286a24682bb4090b614fff3620efb3f
Autor:
Syed Haider, Cindy Q. Yao, Vicky S. Sabine, Michal Grzadkowski, Vincent Stimper, Maud H. W. Starmans, Jianxin Wang, Francis Nguyen, Nathalie C. Moon, Xihui Lin, Camilla Drake, Cheryl A. Crozier, Cassandra L. Brookes, Cornelis J. H. van de Velde, Annette Hasenburg, Dirk G. Kieback, Christos J. Markopoulos, Luc Y. Dirix, Caroline Seynaeve, Daniel W. Rea, Arek Kasprzyk, Philippe Lambin, Pietro Lio’, John M. S. Bartlett, Paul C. Boutros
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
Accurate and actionable biomarkers that integrate diverse molecular, functional and clinical information hold great promise in precision medicine. Here, the authors develop SIMMS, a method for pathway-based cross-disease biomarker discovery.
Externí odkaz:
https://doaj.org/article/bcb37461217c4cbca56503d084f11052
Publikováno v:
IEEE Access, Vol 7, Pp 165437-165447 (2019)
IEEE Access
IEEE Access
Contrast enhancement is an important preprocessing technique for improvingthe performance of downstream tasks in image processing and computer vision. Among the existing approaches based on nonlinear histogram transformations, contrast limited adapti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2857c1a44a050e5e8786b658abf9866
https://ieeexplore.ieee.org/document/8895993/
https://ieeexplore.ieee.org/document/8895993/
Autor:
R. Patrick Xian, Vincent Stimper, Marios Zacharias, Maciej Dendzik, Shuo Dong, Samuel Beaulieu, Bernhard Schölkopf, Martin Wolf, Laurenz Rettig, Christian Carbogno, Stefan Bauer, Ralph Ernstorfer
Publikováno v:
Nature Computational Science
Nature Computational Science, 2023, 3, pp.101-114. ⟨10.1038/s43588-022-00382-2⟩
Nature Computational Science, 2023, 3, pp.101-114. ⟨10.1038/s43588-022-00382-2⟩
The electronic band structure and crystal structure are the two complementary identifiers of solid-state materials. Although convenient instruments and reconstruction algorithms have made large, empirical, crystal structure databases possible, extrac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17d9a2831875595897af48dcf008f9d5
http://arxiv.org/abs/2005.10210
http://arxiv.org/abs/2005.10210
