Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Albarqouni S"'
Autor:
Terrail, J.O.D. (Jean Ogier Du), Ayed, S-S. (Samy-Safwan), Cyffers, E. (Edwige), Grimberg, F. (Felix), He, C. (Chaoyang), Loeb, R. (Regis), Mangold, P. (Paul), Marchand, T. (Tanguy), Marfoq, O. (Othmane), Mushtaq, E. (Erum), Muzellec, B. (Boris), Philippenko, C. (Constantin), Silva, S. (Santiago), Teleńczuk, M. (Maria), Albarqouni, S. (Shadi), Avestimehr, S. (Salman), Bellet, A. (Aurélien), Dieuleveut, A. (Aymeric), Jaggi, M. (Martin), Karimireddy, S.P. (Sai Praneeth), Lorenzi, M. (Marco), Neglia, G. (Giovanni), Tommasi, M. (Marc), Andreux, M. (Mathieu)
Federated Learning (FL) is a novel approach enabling several clients holding sensitive data to collaboratively train machine learning models, without centralizing data. The cross-silo FL setting corresponds to the case of few ($2$--$50$) reliable cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4198::59e1d08b8cb778173e081790ebb952ff
http://hdl.handle.net/20.500.12210/80036
http://hdl.handle.net/20.500.12210/80036
Publikováno v:
Lect. Notes Comput. Sc. 13436 LNCS, 505-515 (2022)
Generative adversarial networks (GANs) offer an effective solution to the image-to-image translation problem, thereby allowing for new possibilities in medical imaging. They can translate images from one imaging modality to another at a low cost. For
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92242c85840f4d6f60994c2430452b3f
http://arxiv.org/abs/2210.06257
http://arxiv.org/abs/2210.06257
Akademický článek
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Akademický článek
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Digitized Histological diagnosis is in increasing demand. However, color variations due to various factors are imposing obstacles to the diagnosis process. The problem of stain color variations is a well-defined problem with many proposed solutions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::662aed9ed4bb0a67c2b48ba198441b9f
https://mediatum.ub.tum.de/1629369
https://mediatum.ub.tum.de/1629369
Autor:
Sznitman, Raphael, Cheplygina, Veronika, Mateus, Diana, Maier-Hein, Lena, Granger, Eric, Jannin, Pierre, Trucco, Emanuele, Stoyanov, D., Taylor, Z., Balocco, S., Sznitman, R., Martel, A., Maier-Hein, L., Dong, L., Zahnd, G., Demerci, S., Albarqouni, S., Lee, S.-L., Moriconi, S., Cheplygina, V., Mateus, D., Trucco, E., Granger, E., Jannin, E.
Publikováno v:
Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::8438d78226a4fa6c61b3f455b8b82f86
https://research.tue.nl/nl/publications/53010edb-2c27-43c7-974d-a3716a588370
https://research.tue.nl/nl/publications/53010edb-2c27-43c7-974d-a3716a588370
In this work, we propose a method for object recognition and pose estimation using convolutional neural networks for robust feature descriptor learning from depth images. Compared to the previous methods solving this problem, which use nearest neighb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::83dbb19d3fe3578ca9b5e194c6186fc0
https://mediatum.ub.tum.de/1629575
https://mediatum.ub.tum.de/1629575
Akademický článek
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Being considered as a valid solution to the lack of ground truth data problem, crowdsourcing has recently gained a lot of attention within the biomedical domain. However, available concepts in life science domain require expert knowledge and thereby
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::1dbe8601817a9e4d12426ff7168836e9
https://mediatum.ub.tum.de/1629360
https://mediatum.ub.tum.de/1629360
Purpose: X-ray imaging is widely used for guiding minimally-invasive surgeries. Despite ongoing efforts in particular towards advanced visualization incorporating mixed reality concepts, correct depth perception from X-ray imaging is still hampered d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::0ece32677a1d961d63550c71df9acf6e
https://mediatum.ub.tum.de/1629359
https://mediatum.ub.tum.de/1629359