research
∙
07/03/2023
Vector Quantile Regression on Manifolds
Quantile regression (QR) is a statistical tool for distribution-free est...
share
research
∙
05/30/2022
Fast Nonlinear Vector Quantile Regression
Quantile regression (QR) is a powerful tool for estimating one or more c...
research
∙
08/11/2020
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI
Magnetic Resonance Imaging (MRI) has long been considered to be among th...
research
∙
11/17/2019
Deep Matrix Factorization with Spectral Geometric Regularization
Deep Matrix Factorization (DMF) is an emerging approach to the problem o...
research
∙
11/17/2019
Deep geometric matrix completion: Are we doing it right?
We address the problem of reconstructing a matrix from a subset of its e...
research
∙
09/12/2019
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI
Magnetic Resonance Imaging (MRI) has long been considered to be among "t...
research
∙
05/22/2019
Self-supervised learning of inverse problem solvers in medical imaging
In the past few years, deep learning-based methods have demonstrated eno...
research
∙
05/22/2019
Learning Fast Magnetic Resonance Imaging
Magnetic Resonance Imaging (MRI) is considered today the golden-standard...
research
∙
12/19/2018
Learning beamforming in ultrasound imaging
Medical ultrasound (US) is a widespread imaging modality owing its popul...
research
∙
08/23/2018
High frame-rate cardiac ultrasound imaging with deep learning
Cardiac ultrasound imaging requires a high frame rate in order to captur...
research
∙
08/23/2018
High quality ultrasonic multi-line transmission through deep learning
Frame rate is a crucial consideration in cardiac ultrasound imaging and ...
research
∙
10/17/2017
