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Publication search results
found 17 matches
- 2024
- Xiaowu Sun, Theofilos Belmpas, Ortal Yona Senouf, Emmanuel Abbe, Pascal Frossard, Bernard De Bruyne, Olivier Muller, Stéphane Fournier, Thabo Mahendiran, Dorina Thanou:
Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography. ISBI 2024: 1-5 - 2023
- Riccardo Tenderini, Federico Betti, Ortal Yona Senouf, Olivier Muller, Simone Deparis, Annalisa Buffa, Emmanuel Abbe:
Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study. AIME 2023: 218-228 - 2020
- Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. ICASSP 2020: 8653-8657 - Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alex M. Bronstein:
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. MLMIR@MICCAI 2020: 3-16 - Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein:
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. CoRR abs/2008.04808 (2020) - Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Alex M. Bronstein:
Towards learned optimal q-space sampling in diffusion MRI. CoRR abs/2009.03008 (2020) - 2019
- Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. DART/MIL3ID@MICCAI 2019: 111-119 - Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning beamforming in ultrasound imaging. MIDL 2019: 493-511 - Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning Fast Magnetic Resonance Imaging. CoRR abs/1905.09324 (2019) - Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Self-supervised learning of inverse problem solvers in medical imaging. CoRR abs/1905.09325 (2019) - Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. CoRR abs/1909.05773 (2019) - 2018
- Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim:
High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. MICCAI (1) 2018: 126-134 - Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini:
High Quality Ultrasonic Multi-line Transmission Through Deep Learning. MLMIR@MICCAI 2018: 147-155 - Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini:
High quality ultrasonic multi-line transmission through deep learning. CoRR abs/1808.07819 (2018) - Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim:
High frame-rate cardiac ultrasound imaging with deep learning. CoRR abs/1808.07823 (2018) - Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning beamforming in ultrasound imaging. CoRR abs/1812.08043 (2018) - 2017
- Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Towards CT-quality Ultrasound Imaging using Deep Learning. CoRR abs/1710.06304 (2017)
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