Publications (21)
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…
From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling
Barak Gahtan, Sanketh Vedula, Gil Samuelly Leichtag +2
Understanding physiological responses during running is critical for performance optimization, tailored training prescriptions, and athlete health management. We introduce a compre…
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…
High frame-rate cardiac ultrasound imaging with deep learning
Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov +5
Cardiac ultrasound imaging requires a high frame rate in order to capture rapid motion. This can be achieved by multi-line acquisition (MLA), where several narrow-focused received…
Everest: GPU-Accelerated System For Mining Temporal Motifs
Yichao Yuan, Haojie Ye, Sanketh Vedula +2
Temporal motif mining is the task of finding the occurrences of subgraph patterns within a large input temporal graph that obey the specified structural and temporal constraints. D…
Spectral Geometric Matrix Completion
Amit Boyarski, Sanketh Vedula, Alex Bronstein
Deep Matrix Factorization (DMF) is an emerging approach to the problem of matrix completion. Recent works have established that gradient descent applied to a DMF model induces an i…