Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ortal Senouf"'
Autor:
Stéphane Cook, Thabo Mahendiran, Stephane Fournier, Bernard De Bruyne, Olivier Muller, Nicolas Dayer, David Meier, Dorina Thanou, Ortal Senouf, Fahrang Aminfar, Denise Auberson, Omar Raita, Pascal Frossard, Mattia Pagnoni, Emmanuel Abbé
Publikováno v:
Open Heart, Vol 10, Iss 1 (2023)
Background Angiographic parameters can facilitate the risk stratification of coronary lesions but remain insufficient in the prediction of future myocardial infarction (MI).AIMS We compared the ability of humans, angiographic parameters and deep lear
Externí odkaz:
https://doaj.org/article/d47d6a20edf94bc2a3274fc75f067b8e
Autor:
Thabo Mahendiran, Dorina Thanou, Ortal Senouf, David Meier, Nicolas Dayer, Fahrang Aminfar, Denise Auberson, Omar Raita, Pascal Frossard, Mattia Pagnoni, Stéphane Cook, Bernard De Bruyne, Olivier Muller, Emmanuel Abbé, Stephane Fournier
Publikováno v:
Open heart, vol. 10, no. 1, pp. e002237
BackgroundAngiographic parameters can facilitate the risk stratification of coronary lesions but remain insufficient in the prediction of future myocardial infarction (MI).AIMSWe compared the ability of humans, angiographic parameters and deep learni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2a70841a11bd61904102f9cfd2a8949
https://serval.unil.ch/notice/serval:BIB_7D52661F8D04
https://serval.unil.ch/notice/serval:BIB_7D52661F8D04
Autor:
Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg Michailovich, Michael Zibulevsky, Alex Bronstein
Publikováno v:
Machine Learning for Biomedical Imaging. 1:1-23
Magnetic Resonance Imaging (MRI) has long been considered to be among "the gold standards" of diagnostic medical imaging. The long acquisition times, however, render MRI prone to motion artifacts, let alone their adverse contribution to the relative
Publikováno v:
Computational Diffusion MRI ISBN: 9783030730178
Fiber tractography is an important tool of computational neuroscience that enables reconstructing the spatial connectivity and organization of white matter of the brain. Fiber tractography takes advantage of diffusion Magnetic Resonance Imaging (dMRI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b81aa06334b8c08341301ed558b0788e
https://doi.org/10.1007/978-3-030-73018-5_2
https://doi.org/10.1007/978-3-030-73018-5_2
Autor:
Ortal Senouf, Oleg V. Michailovich, Alexander M. Bronstein, Michael Zibulevsky, Sanketh Vedula, Tomer Weiss
Publikováno v:
ICASSP
Magnetic Resonance Imaging (MRI) is considered today the golden-standard modality for soft tissues. The long acquisition times, however, make it more prone to motion artifacts as well as contribute to the relative high costs of this examination. Over
Autor:
Linor Ackerman-Schraier, Ortal Senouf, Tomer Weiss, Sanketh Vedula, Jonathan Alush-Aben, Alexander M. Bronstein
Publikováno v:
Machine Learning for Medical Image Reconstruction ISBN: 9783030615970
MLMIR@MICCAI
MLMIR@MICCAI
Magnetic Resonance Imaging (MRI) has long been considered to be among the gold standards of today’s diagnostic imaging. The most significant drawback of MRI is long acquisition times, prohibiting its use in standard practice for some applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c2eb7a61191c595158d1a9c3fba3060
https://doi.org/10.1007/978-3-030-61598-7_1
https://doi.org/10.1007/978-3-030-61598-7_1
Autor:
Ortal Senouf, Michael Zibulevsky, Oleg V. Michailovich, Alexander M. Bronstein, Sanketh Vedula, Tomer Weiss
Publikováno v:
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data ISBN: 9783030333904
DART/MIL3ID@MICCAI
DART/MIL3ID@MICCAI
In the past few years, deep learning-based methods have demonstrated enormous success for solving inverse problems in medical imaging. In this work, we address the following question: Given a set of measurements obtained from real imaging experiments
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42701a45c13165e43879a41be78d9ae2
https://doi.org/10.1007/978-3-030-33391-1_13
https://doi.org/10.1007/978-3-030-33391-1_13
Autor:
Michael Zibulevsky, Dan Adam, Diana Gaitini, Oleg V. Michailovich, Alexander M. Bronstein, Sanketh Vedula, Grigoriy Zurakhov, Ortal Senouf
Publikováno v:
Machine Learning for Medical Image Reconstruction ISBN: 9783030001285
MLMIR@MICCAI
MLMIR@MICCAI
Frame rate is a crucial consideration in cardiac ultrasound imaging and 3D sonography. Several methods have been proposed in the medical ultrasound literature aiming at accelerating the image acquisition. In this paper, we consider one such method ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce528276c911d0f0822872952b9919e1
https://doi.org/10.1007/978-3-030-00129-2_17
https://doi.org/10.1007/978-3-030-00129-2_17
Autor:
Ortal Senouf, David S. Blondheim, Oleg V. Michailovich, Dan Adam, Alexander M. Bronstein, Michael Zibulevsky, Sanketh Vedula, Grigoriy Zurakhov
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 ISBN: 9783030009274
MICCAI (1)
MICCAI (1)
Cardiac ultrasound imaging requires a high frame rate in order to capture rapid motion. This can be achieved by multi-line acquisition (MLA), where several narrow-focused received lines are obtained from each wide-focused transmitted line. This short
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e466613f58ad9fdf42b23fc3bddd650
https://doi.org/10.1007/978-3-030-00928-1_15
https://doi.org/10.1007/978-3-030-00928-1_15