Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nina Watté"'
Publikováno v:
Journal of the Belgian Society of Radiology, Vol 105, Iss 1 (2021)
Teaching Point: Persistent metacarpophalangeal joint pain after clenched-fist trauma with an unremarkable conventional radiography justifies further examination with dynamic ultrasound for detecting extensor hood injuries.
Externí odkaz:
https://doaj.org/article/12750e900f134950b3e234edb14c8db4
Autor:
Patrick Aerts, Lieven Van Hoe, Mathieu Van Der Meersch, Amaury Baetslé, Carst van den Hoven, Nina Watté, Tom Van der Stricht
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6757987fe8087e02573148f4e986b226
https://doi.org/10.26226/morressier.6153409f62ba8657678afaf0
https://doi.org/10.26226/morressier.6153409f62ba8657678afaf0
Publikováno v:
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 83
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e2cf3a49a1c3643e573bc8553dc468d
https://pubmed.ncbi.nlm.nih.gov/33774340
https://pubmed.ncbi.nlm.nih.gov/33774340
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Autor:
Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Perez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastian Amador, REDONA BRAHIMETAJ, Evgenia Papavasileiou, Jonathan Cheung-Wai Chana, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Parizel, Paul M., Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke
Publikováno v:
Vrije Universiteit Brussel
University of Western Australia
University of Western Australia
Our motivating application is a real-world problem: COVID-19 classification from CT imaging, for which we present an explainable Deep Learning approach based on a semi-supervised classification pipeline that employs variational autoencoders to extrac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da305250b2e4ddcc03553dd6b4b1dfff
https://researchportal.vub.be/en/publications/c6273017-9038-4fac-83de-80c1027c54f7
https://researchportal.vub.be/en/publications/c6273017-9038-4fac-83de-80c1027c54f7