Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gonidakis, Panagiotis"'
Autor:
Boulogne, Luuk H., Lorenz, Julian, Kienzle, Daniel, Schon, Robin, Ludwig, Katja, Lienhart, Rainer, Jegou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Muller, Dominik, Mertes, Silvan, Schroter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Bossa, Matias Nicolas, Berenguer, Abel Diaz, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A., Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, van Ginneken, Bram, Dubois, Marie-Pierre Revel
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Public access to the training methodology for these solutions remains abse
Externí odkaz:
http://arxiv.org/abs/2306.10484
Autor:
Boulogne, Luuk H., Lorenz, Julian, Kienzle, Daniel, Schön, Robin, Ludwig, Katja, Lienhart, Rainer, Jégou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Müller, Dominik, Mertes, Silvan, Schröter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Bossa, Matías Nicolás, Berenguer, Abel Díaz, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A., Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, van Ginneken, Bram, Revel, Marie-Pierre
Publikováno v:
In Medical Image Analysis October 2024 97
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Autor:
Berenguer, Abel Díaz, Sahli, Hichem, Joukovsky, Boris, Kvasnytsia, Maryna, Dirks, Ine, Alioscha-Perez, Mitchel, Deligiannis, Nikos, Gonidakis, Panagiotis, Sánchez, Sebastián Amador, Brahimetaj, Redona, Papavasileiou, Evgenia, Chana, Jonathan Cheung-Wai, Li, Fei, Song, Shangzhen, Yang, Yixin, Tilborghs, Sofie, Willems, Siri, Eelbode, Tom, Bertels, Jeroen, Vandermeulen, Dirk, Maes, Frederik, Suetens, Paul, Fidon, Lucas, Vercauteren, Tom, Robben, David, Brys, Arne, Smeets, Dirk, Ilsen, Bart, Buls, Nico, Watté, Nina, de Mey, Johan, Snoeckx, Annemiek, Parizel, Paul M., Guiot, Julien, Deprez, Louis, Meunier, Paul, Gryspeerdt, Stefaan, De Smet, Kristof, Jansen, Bart, Vandemeulebroucke, Jef
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:
http://arxiv.org/abs/2011.11719
Autor:
Tilborghs, Sofie, Dirks, Ine, Fidon, Lucas, Willems, Siri, Eelbode, Tom, Bertels, Jeroen, Ilsen, Bart, Brys, Arne, Dubbeldam, Adriana, Buls, Nico, Gonidakis, Panagiotis, Sánchez, Sebastián Amador, Snoeckx, Annemiek, Parizel, Paul M., de Mey, Johan, Vandermeulen, Dirk, Vercauteren, Tom, Robben, David, Smeets, Dirk, Maes, Frederik, Vandemeulebroucke, Jef, Suetens, Paul
Recent research on COVID-19 suggests that CT imaging provides useful information to assess disease progression and assist diagnosis, in addition to help understanding the disease. There is an increasing number of studies that propose to use deep lear
Externí odkaz:
http://arxiv.org/abs/2007.15546
Akademický článek
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Autor:
Hahn, Horst K., Mazurowski, Maciej A., Sóñora-Mengan, Alexander, Gonidakis, Panagiotis, Jansen, Bart, Garcı́a-Naranjo, Juan, Vandemeulebroucke, Jef
Publikováno v:
Proceedings of SPIE; March 2020, Vol. 11314 Issue: 1 p113143T-113143T-7, 1018295p
Autor:
Hahn, Horst K., Mazurowski, Maciej A., Gonidakis, Panagiotis, Jansen, Bart, Vandemeulebroucke, Jef
Publikováno v:
Proceedings of SPIE; March 2020, Vol. 11314 Issue: 1 p113142F-113142F-6, 1018285p
Autor:
Οικονόμου, Γεώργιος, Gonidakis, Panagiotis, Ζυγούρης, Ευάγγελος, Φωτόπουλος, Σπυρίδων
Με την αλματώδη πρόοδο της τεχνολογίας τα τελευταία χρόνια, οι συσκευές πολυμέσων έχουν γίνει ακόμη περισσότερο «έξυπνες». Όλες αυτές ο
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1047::f43daf1f8e0c53430bdea4ba9bf6b488
http://hdl.handle.net/10889/8505
http://hdl.handle.net/10889/8505