Towards CT-quality Ultrasound Imaging using Deep Learning. - Sanketh Vedula; Ortal Senouf; Alexander M. Bronstein; Oleg V. Michailovich; Michael Zibulevsky (CoRR, 2017)

High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. - Ortal Senouf; Sanketh Vedula; Grigoriy Zurakhov; Alexander M. Bronstein; Michael Zibulevsky; Oleg V. Michailovich; Dan Adam; David Blondheim (MICCAI (1), 2018)

High Quality Ultrasonic Multi-line Transmission Through Deep Learning. - Sanketh Vedula; Ortal Senouf; Grigoriy Zurakhov; Alexander M. Bronstein; Michael Zibulevsky; Oleg V. Michailovich; Dan Adam; Diana Gaitini (MLMIR@MICCAI, 2018)

Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. - Ortal Senouf; Sanketh Vedula; Tomer Weiss 002; Alexander M. Bronstein; Oleg V. Michailovich; Michael Zibulevsky (DART/MIL3ID@MICCAI, 2019)

Learning beamforming in ultrasound imaging. - Sanketh Vedula; Ortal Senouf; Grigoriy Zurakhov; Alexander M. Bronstein; Oleg V. Michailovich; Michael Zibulevsky (MIDL, 2019)

Learning Fast Magnetic Resonance Imaging. - Tomer Weiss 002; Sanketh Vedula; Ortal Senouf; Alexander M. Bronstein; Oleg V. Michailovich; Michael Zibulevsky (CoRR, 2019)

PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. - Tomer Weiss 002; Ortal Senouf; Sanketh Vedula; Oleg V. Michailovich; Michael Zibulevsky; Alexander M. Bronstein (CoRR, 2019)

Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. - Tomer Weiss 002; Sanketh Vedula; Ortal Senouf; Oleg V. Michailovich; Michael Zibulevsky; Alexander M. Bronstein (ICASSP, 2020)

3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI. - Jonathan Alush-Aben; Linor Ackerman-Schraier; Tomer Weiss 002; Sanketh Vedula; Ortal Senouf; Alex M. Bronstein (MLMIR@MICCAI, 2020)

Towards learned optimal q-space sampling in diffusion MRI. - Tomer Weiss 002; Sanketh Vedula; Ortal Senouf; Oleg V. Michailovich; Alex M. Bronstein (CoRR, 2020)