S. S. Vasanawala

Orcid: 0000-0002-1999-6595

According to our database1, S. S. Vasanawala authored at least 41 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization.
IEEE Trans. Medical Imaging, May, 2023

2022
A Semi-Blind Calibration and Compensation Method for Dynamic Range Recovery of Low-Power Pre-Amplifiers in MRI Receive Chains.
IEEE Trans. Medical Imaging, 2022

Artifact- and content-specific quality assessment for MRI with image rulers.
Medical Image Anal., 2022

Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network.
CoRR, 2022

Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks.
CoRR, 2022

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction.
CoRR, 2022

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learned Compression of High Dimensional Image Datasets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training.
IEEE Trans. Medical Imaging, 2021

Uncertainty Quantification in Deep MRI Reconstruction.
IEEE Trans. Medical Imaging, 2021

Artifact- and content-specific quality assessment for MRI with image rulers.
CoRR, 2021

Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising.
CoRR, 2021

Memory-Efficient Learning for High-Dimensional MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Evaluation of Patient Positioning to Mitigate RF-induced Heating of Cardiac Implantable Electronic Devices for Pediatric MRI Exams.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging.
IEEE Signal Process. Mag., 2020

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images.
CoRR, 2020

Unsupervised MRI Reconstruction with Generative Adversarial Networks.
CoRR, 2020

Complex-Valued Convolutional Neural Networks for MRI Reconstruction.
CoRR, 2020

Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.
IEEE Trans. Medical Imaging, 2019

Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT.
CoRR, 2019

Degrees of Freedom Analysis of Unrolled Neural Networks.
CoRR, 2019

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning.
CoRR, 2019

VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis.
CoRR, 2019

2018
Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging.
IEEE Trans. Medical Imaging, 2018

Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones.
CoRR, 2018

Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging.
CoRR, 2018

Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering.
CoRR, 2018

Neural Proximal Gradient Descent for Compressive Imaging.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Body Diffusion Weighted Imaging Using Non-CPMG Fast Spin Echo.
IEEE Trans. Medical Imaging, 2017

Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery.
CoRR, 2017

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI.
CoRR, 2017

2016
Depletion-Mode GaN HEMT Q-Spoil Switches for MRI Coils.
IEEE Trans. Medical Imaging, 2016

2015
Classification of Hypervascular Liver Lesions Based on Hepatic Artery and Portal Vein Blood Supply Coefficients Calculated from Triphasic CT Scans.
J. Digit. Imaging, 2015

2013
Improved visualization and quantification of 4D flow MRI data using divergence-freewavelet denoising.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Fast ℓ<sub>1</sub>-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime.
IEEE Trans. Medical Imaging, 2012

2011
Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011


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