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 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)

Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging. - Tomer Weiss 002; Nissim Peretz; Sanketh Vedula; Arie Feuer; Alexander M. Bronstein (MLSP, 2021)

Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI. - Tamir Shor; Tomer Weiss 002; Dor Noti; Alexander M. Bronstein (MIDL, 2023)

Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI. - Tamir Shor; Tomer Weiss 002; Dor Noti; Alex M. Bronstein (CoRR, 2023)

Guided diffusion for inverse molecular design. - Tomer Weiss 002; Eduardo Mayo Yanes; Sabyasachi Chakraborty; Luca Cosmo; Alex M. Bronstein; Renana Gershoni-Poranne (Nat. Comput. Sci., 2023)