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)

Deep geometric matrix completion: Are we doing it right? - Amit Boyarski; Sanketh Vedula; Alex 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)

Spectral Geometric Matrix Completion. - Amit Boyarski; Sanketh Vedula; Alexander M. Bronstein (MSML, 2021)

Mint: An Accelerator For Mining Temporal Motifs. - Nishil Talati; Haojie Ye; Sanketh Vedula; Kuan-Yu Chen 001; Yuhan Chen; Daniel Liu; Yichao Yuan; David T. Blaauw; Alex M. Bronstein; Trevor N. Mudge; Ronald G. Dreslinski (MICRO, 2022)

GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. - Haojie Ye; Sanketh Vedula; Yuhan Chen; Yichen Yang 005; Alex M. Bronstein; Ronald G. Dreslinski; Trevor N. Mudge; Nishil Talati (ASPLOS (3), 2023)

Fast Nonlinear Vector Quantile Regression. - Aviv A. Rosenberg; Sanketh Vedula; Yaniv Romano; Alexander M. Bronstein (ICLR, 2023)

Everest: GPU-Accelerated System For Mining Temporal Motifs. - Yichao Yuan; Haojie Ye; Sanketh Vedula; Wynn Kaza; Nishil Talati (Proc. VLDB Endow., 2023)

Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. - Yuhan Chen; Haojie Ye; Sanketh Vedula; Alex M. Bronstein; Ronald G. Dreslinski; Trevor N. Mudge; Nishil Talati (Proc. VLDB Endow., 2023)

Vector Quantile Regression on Manifolds. - Marco Pegoraro 002; Sanketh Vedula; Aviv Rosenberg 001; Irene Tallini; Emanuele Rodolà; Alex M. Bronstein (AISTATS, 2024)

Scalable unsupervised alignment of general metric and non-metric structures. - Sanketh Vedula; Valentino Maiorca; Lorenzo Basile; Francesco Locatello; Alexander M. Bronstein (CoRR, 2024)

Generative modeling of protein ensembles guided by crystallographic electron densities. - Sai Advaith Maddipatla; Nadav Bojan Sellam; Sanketh Vedula; Ailie Marx; Alexander M. Bronstein (CoRR, 2024)

From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling. - Barak Gahtan; Sanketh Vedula; Gil Samuelly Leichtag; Einat Kodesh; Alex M. Bronstein (CoRR, 2025)

Representing local protein environments with atomistic foundation models. - Meital Bojan; Sanketh Vedula; Sai Advaith Maddipatla; Nadav Bojan Sellam; Federico Napoli; Paul Schanda; Alex M. Bronstein (CoRR, 2025)