1 code implementation • 3 Jul 2023 • Marco Pegoraro, Sanketh Vedula, Aviv A. Rosenberg, Irene Tallini, Emanuele Rodolà, Alex M. Bronstein
Quantile regression (QR) is a statistical tool for distribution-free estimation of conditional quantiles of a target variable given explanatory features.
1 code implementation • 30 May 2022 • Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alex M. Bronstein
Despite its elegance, VQR is arguably not applicable in practice due to several limitations: (i) it assumes a linear model for the quantiles of the target $\boldsymbol{\mathrm{Y}}$ given the features $\boldsymbol{\mathrm{X}}$; (ii) its exact formulation is intractable even for modestly-sized problems in terms of target dimensions, number of regressed quantile levels, or number of features, and its relaxed dual formulation may violate the monotonicity of the estimated quantiles; (iii) no fast or scalable solvers for VQR currently exist.
no code implementations • 7 Oct 2021 • Tomer Weiss, Nissim Peretz, Sanketh Vedula, Arie Feuer, Alex Bronstein
Inspired by these successes, in this work, we propose to learn MIMO acquisition parameters in the form of receive (Rx) antenna elements locations jointly with an image neural-network based reconstruction.
1 code implementation • 7 Sep 2020 • Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg Michailovich, AlexBronstein
Fiber tractography is an important tool of computational neuroscience that enables reconstructing the spatial connectivity and organization of white matter of the brain.
1 code implementation • 11 Aug 2020 • Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alex Bronstein
Magnetic Resonance Imaging (MRI) has long been considered to be among the gold standards of today's diagnostic imaging.
1 code implementation • 17 Nov 2019 • Amit Boyarski, Sanketh Vedula, Alex Bronstein
Deep Matrix Factorization (DMF) is an emerging approach to the problem of matrix completion.
no code implementations • 25 Sep 2019 • Amit Boyarski, Sanketh Vedula, Alex Bronstein
We address the problem of reconstructing a matrix from a subset of its entries.
2 code implementations • 12 Sep 2019 • Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg Michailovich, Michael Zibulevsky, Alex Bronstein
Such schemes have already demonstrated substantial effectiveness, leading to considerably shorter acquisition times and improved quality of image reconstruction.
1 code implementation • 22 May 2019 • Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg Michailovich, Michael Zibulevsky, Alex Bronstein
On the other hand, recent works in optical computational imaging have demonstrated growing success of the simultaneous learning-based design of the acquisition and reconstruction schemes manifesting significant improvement in the reconstruction quality with a constrained time budget.
no code implementations • 22 May 2019 • Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alex Bronstein, Oleg Michailovich, Michael Zibulevsky
In light of this, we propose a self-supervised approach to training inverse models in medical imaging in the absence of aligned data.
no code implementations • 19 Dec 2018 • Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alex Bronstein, Oleg Michailovich, Michael Zibulevsky
Medical ultrasound (US) is a widespread imaging modality owing its popularity to cost efficiency, portability, speed, and lack of harmful ionizing radiation.
no code implementations • 23 Aug 2018 • Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alex M. Bronstein, Michael Zibulevsky, Oleg Michailovich, Dan Adam, David Blondheim
The network achieves a significant improvement in image quality for both $5-$ and $7-$line MLA resulting in a decorrelation measure similar to that of SLA while having the frame rate of MLA.
no code implementations • 23 Aug 2018 • Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alex M. Bronstein, Michael Zibulevsky, Oleg Michailovich, Dan Adam, Diana Gaitini
Frame rate is a crucial consideration in cardiac ultrasound imaging and 3D sonography.
no code implementations • 17 Oct 2017 • Sanketh Vedula, Ortal Senouf, Alex M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
The cost-effectiveness and practical harmlessness of ultrasound imaging have made it one of the most widespread tools for medical diagnosis.