Follow
Ortal Senouf
Ortal Senouf
Verified email at epfl.ch
Title
Cited by
Cited by
Year
PILOT: Physics-informed learned optimized trajectories for accelerated MRI
T Weiss, O Senouf, S Vedula, O Michailovich, M Zibulevsky, A Bronstein
arXiv preprint arXiv:1909.05773, 2019
962019
Towards CT-quality ultrasound imaging using deep learning
S Vedula, O Senouf, AM Bronstein, OV Michailovich, M Zibulevsky
arXiv preprint arXiv:1710.06304, 2017
472017
Self-supervised learning of inverse problem solvers in medical imaging
O Senouf, S Vedula, T Weiss, A Bronstein, O Michailovich, M Zibulevsky
Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019
392019
High frame-rate cardiac ultrasound imaging with deep learning
O Senouf, S Vedula, G Zurakhov, A Bronstein, M Zibulevsky, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
382018
Joint learning of cartesian under sampling andre construction for accelerated mri
T Weiss, S Vedula, O Senouf, O Michailovich, M Zibulevsky, A Bronstein
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
37*2020
Learning beamforming in ultrasound imaging
S Vedula, O Senouf, G Zurakhov, A Bronstein, O Michailovich, ...
arXiv preprint arXiv:1812.08043, 2018
292018
High quality ultrasonic multi-line transmission through deep learning
S Vedula, O Senouf, G Zurakhov, A Bronstein, M Zibulevsky, ...
Machine Learning for Medical Image Reconstruction: First International …, 2018
242018
3D FLAT: Feasible learned acquisition trajectories for accelerated MRI
S Vedula, O Senouf, A Bronstein
Machine Learning for Medical Image Reconstruction: 3rd Intern. WS MLMIR, 3, 2020
112020
3D FLAT: feasible learned acquisition trajectories for accelerated MRI
J Alush-Aben, L Ackerman-Schraier, T Weiss, S Vedula, O Senouf, ...
Machine Learning for Medical Image Reconstruction: Third International …, 2020
92020
Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study
T Mahendiran, D Thanou, O Senouf, D Meier, N Dayer, F Aminfar, ...
Open Heart 10 (1), e002237, 2023
82023
PILOT: Physics-informed learned optimized trajectories for accelerated MRI. arXiv 2019
T Weiss, O Senouf, S Vedula, O Michailovich, M Zibulevsky, A Bronstein
arXiv preprint arXiv:1909.05773, 0
5
Towards Learned Optimal q-Space Sampling in Diffusion MRI
T Weiss, S Vedula, O Senouf, O Michailovich, A Bronstein
Computational Diffusion MRI: International MICCAI Workshop, Lima, Peru …, 2021
32021
Inferring Cardiovascular Biomarkers with Hybrid Model Learning
O Senouf, J Behrmann, JH Jacobsen, P Frossard, E Abbe, A Wehenkel
NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 0
2
Anatomy-informed multimodal learning for myocardial infarction prediction
ID Sievering, O Senouf, T Mahendiran, D Nanchen, S Fournier, O Muller, ...
IEEE Open Journal of Engineering in Medicine and Biology, 2024
12024
Predicting future myocardial infarction from angiographies with deep learning
D Thanou, OY Senouf, O Raita, E Abbé, P Frossard, F Aminfar, ...
Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021
12021
Future cardiovascular events prediction from invasive coronary angiography: A graph representation learning perspective
X Sun, T Belmpas, O Senouf, E Abbé, P Frossard, B De Bruyne, ...
2024
Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study
R Tenderini, F Betti, OY Senouf, O Muller, S Deparis, A Buffa, E Abbé
International Conference on Artificial Intelligence in Medicine, 218-228, 2023
2023
Attention-based learning of views fusion applied to myocardial infarction diagnosis from x-ray CT
J Gwizdala, O Senouf, D Auberson, D Meier, D Rotzinger, S Fournier, ...
MedNeurIPS, 2022
2022
Systems and methods for ultrasonic imaging
O Senouf, S Vedula, A Bronstein, M Zibulevsky, G Zurakhov, ...
US Patent 11,158,052, 2021
2021
GRAPH NEURAL NETWORK BASED FUTURE CLINICAL EVENTS PREDICTION FROM INVASIVE CORONARY ANGIOGRAPHY
X Sun, T Belmpas, O Senouf, E Abbé, P Frossard, B De Bruyne, O Muller, ...
The system can't perform the operation now. Try again later.
Articles 1–20