activity
20192023
most citedPILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI

3 citations · 3 across the 5 of their papers we have counts for

collaborators

7 papers

eess.IV2023

Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI

Tamir Shor, Tomer Weiss, Dor Noti +1

Dynamic Magnetic Resonance Imaging (MRI) is known to be a powerful and reliable technique for the dynamic imaging of internal organs and tissues, making it a leading diagnostic too…

eess.SP2021

Joint optimization of system design and reconstruction in MIMO radar imaging

Tomer Weiss, Nissim Peretz, Sanketh Vedula +2

Multiple-input multiple-output (MIMO) radar is one of the leading depth sensing modalities. However, the usage of multiple receive channels lead to relative high costs and prevent…

eess.IV2020

Towards learned optimal q-space sampling in diffusion MRI

Tomer Weiss, Sanketh Vedula, Ortal Senouf +2

Fiber tractography is an important tool of computational neuroscience that enables reconstructing the spatial connectivity and organization of white matter of the brain. Fiber trac…

eess.IV2020

3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI

Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss +3

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 tim…

eess.IV2019★ 3 cited

PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI

Tomer Weiss, Ortal Senouf, Sanketh Vedula +3

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 m…

eess.IV2019

Self-supervised learning of inverse problem solvers in medical imaging

Ortal Senouf, Sanketh Vedula, Tomer Weiss +3

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 questi…

eess.IV2019

Joint learning of cartesian undersampling and reconstruction for accelerated MRI

Tomer Weiss, Sanketh Vedula, Ortal Senouf +3

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 w…