Zobrazeno 1 - 10
of 520
pro vyhledávání: '"Suetens, Paul"'
Publikováno v:
Elsevier Medical Image Analysis, Volume 61, January 2021, 101833
The clinical interest is often to measure the volume of a structure, which is typically derived from a segmentation. In order to evaluate and compare segmentation methods, the similarity between a segmentation and a predefined ground truth is measure
Externí odkaz:
http://arxiv.org/abs/2211.04161
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
Publikováno v:
LNCS 11992, Springer Nature Switzerland AG 2019
Segmentation is a fundamental task in medical image analysis. The clinical interest is often to measure the volume of a structure. To evaluate and compare segmentation methods, the similarity between a segmentation and a predefined ground truth is me
Externí odkaz:
http://arxiv.org/abs/1911.02278
Autor:
Robben, David, Boers, Anna M. M., Marquering, Henk A., Langezaal, Lucianne L. C. M., Roos, Yvo B. W. E. M., van Oostenbrugge, Robert J., van Zwam, Wim H., Dippel, Diederik W. J., Majoie, Charles B. L. M., van der Lugt, Aad, Lemmens, Robin, Suetens, Paul
CT Perfusion (CTP) imaging has gained importance in the diagnosis of acute stroke. Conventional perfusion analysis performs a deconvolution of the measurements and thresholds the perfusion parameters to determine the tissue status. We pursue a data-d
Externí odkaz:
http://arxiv.org/abs/1812.02496
Autor:
Robben, David, Suetens, Paul
Perfusion imaging plays a crucial role in acute stroke diagnosis and treatment decision making. Current perfusion analysis relies on deconvolution of the measured signals, an operation that is mathematically ill-conditioned and requires strong regula
Externí odkaz:
http://arxiv.org/abs/1810.04898
Autor:
Robben, David, Boers, Anna M.M., Marquering, Henk A., Langezaal, Lucianne L.C.M., Roos, Yvo B.W.E.M., van Oostenbrugge, Robert J., van Zwam, Wim H., Dippel, Diederik W.J., Majoie, Charles B.L.M., van der Lugt, Aad, Lemmens, Robin, Suetens, Paul
Publikováno v:
In Medical Image Analysis January 2020 59
