Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients. - Shreyas Vasanawala; M. J. Murphy; Marcus T. Alley; P. Lai; Kurt Keutzer; John M. Pauly; Michael Lustig (ISBI, 2011)

Fast ℓ1-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime. - Mark Murphy; Marcus T. Alley; James Demmel; Kurt Keutzer; Shreyas Vasanawala; Michael Lustig (IEEE Trans. Medical Imaging, 2012)

Improved visualization and quantification of 4D flow MRI data using divergence-freewavelet denoising. - Frank Ong; Martin Uecker; Umar Tariq; Albert Hsiao; Marcus T. Alley; S. S. Vasanawala; Michael Lustig (ISBI, 2013)

Classification of Hypervascular Liver Lesions Based on Hepatic Artery and Portal Vein Blood Supply Coefficients Calculated from Triphasic CT Scans. - F. Edward Boas; Aya Kamaya; Bao H. Do; Terry S. Desser; Christopher F. Beaulieu; Shreyas S. Vasanawala; Gloria L. Hwang; Daniel Y. Sze (J. Digit. Imaging, 2015)

Depletion-Mode GaN HEMT Q-Spoil Switches for MRI Coils. - Jonathan Y. Lu; Thomas Grafendorfer; Tao Zhang; Shreyas Vasanawala; Fraser Robb; John M. Pauly; Greig C. Scott (IEEE Trans. Medical Imaging, 2016)

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; Shreyas Vasanawala; Greg Zaharchuk; Marcus T. Alley; Neil Thakur; Song Han 003; William J. Dally; John M. Pauly; Lei Xing 001 (CoRR, 2017)

Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. - Morteza Mardani; Hatef Monajemi; Vardan Papyan; Shreyas Vasanawala; David L. Donoho; John M. Pauly (CoRR, 2017)

Body Diffusion Weighted Imaging Using Non-CPMG Fast Spin Echo. - Eric K. Gibbons; Patrick Le Roux; Shreyas S. Vasanawala; John M. Pauly; Adam B. Kerr (IEEE Trans. Medical Imaging, 2017)

Neural Proximal Gradient Descent for Compressive Imaging. - Morteza Mardani; Qingyun Sun; David L. Donoho; Vardan Papyan; Hatef Monajemi; Shreyas Vasanawala; John M. Pauly (NeurIPS, 2018)

Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering. - Joseph Y. Cheng; Feiyu Chen 004; Marcus T. Alley; John M. Pauly; Shreyas S. Vasanawala (CoRR, 2018)

Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. - Michael J. Anderson; Jonathan I. Tamir; Javier S. Turek; Marcus T. Alley; Theodore L. Willke; Shreyas S. Vasanawala; Michael Lustig (CoRR, 2018)

Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones. - David Y. Zeng; Jamil Shaikh; Dwight G. Nishimura; Shreyas S. Vasanawala; Joseph Y. Cheng (CoRR, 2018)

Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging. - Eric K. Gibbons; Patrick Le Roux; Shreyas S. Vasanawala; John M. Pauly; Adam B. Kerr (IEEE Trans. Medical Imaging, 2018)

VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. - Vineet Edupuganti; Morteza Mardani; Joseph Y. Cheng; Shreyas Vasanawala; John M. Pauly (CoRR, 2019)

Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. - Joseph Y. Cheng; Feiyu Chen 004; Christopher M. Sandino; Morteza Mardani; John M. Pauly; Shreyas S. Vasanawala (CoRR, 2019)

Degrees of Freedom Analysis of Unrolled Neural Networks. - Morteza Mardani; Qingyun Sun; Vardan Papyan; Shreyas Vasanawala; John M. Pauly; David L. Donoho (CoRR, 2019)

Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. - Christopher M. Sandino; Peng Lai; Shreyas S. Vasanawala; Joseph Y. Cheng (CoRR, 2019)

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; Shreyas S. Vasanawala; Greg Zaharchuk; Lei Xing 001; John M. Pauly (IEEE Trans. Medical Imaging, 2019)

Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. - Jeffrey J. Ma; Ukash Nakarmi; Cedric Yue Sik Kin; Christopher M. Sandino; Joseph Y. Cheng; Ali B. Syed; Peter Wei; John M. Pauly; Shreyas S. Vasanawala (ISBI, 2020)

Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. - Ukash Nakarmi; Joseph Y. Cheng; Edgar P. Rios; Morteza Mardani; John M. Pauly; Leslie Ying; Shreyas S. Vasanawala (ISBI, 2020)

Complex-Valued Convolutional Neural Networks for MRI Reconstruction. - Elizabeth K. Cole; Joseph Y. Cheng; John M. Pauly; Shreyas S. Vasanawala (CoRR, 2020)

Unsupervised MRI Reconstruction with Generative Adversarial Networks. - Elizabeth K. Cole; John M. Pauly; Shreyas S. Vasanawala; Frank Ong (CoRR, 2020)

Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images. - Edgar A. Rios Piedra; Morteza Mardani; Frank Ong; Ukash Nakarmi; Joseph Y. Cheng; Shreyas Vasanawala (CoRR, 2020)

Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. - Christopher M. Sandino; Joseph Y. Cheng; Feiyu Chen 004; Morteza Mardani; John M. Pauly; Shreyas S. Vasanawala (IEEE Signal Process. Mag., 2020)

Evaluation of Patient Positioning to Mitigate RF-induced Heating of Cardiac Implantable Electronic Devices for Pediatric MRI Exams. - Jessica A. Martinez; Tyler E. Cork; Henry Chubb; Shreyas Vasanawala; Daniel B. Ennis (EMBC, 2021)

Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks. - Elizabeth K. Cole; Frank Ong; Shreyas S. Vasanawala; John M. Pauly (ICCVW, 2021)

K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency. - Kanghyun Ryu; Cagan Alkan; Chanyeol Choi; Ikbeom Jang; Shreyas Vasanawala (ICCVW, 2021)

Memory-Efficient Learning for High-Dimensional MRI Reconstruction. - Ke Wang; Michael R. Kellman; Christopher M. Sandino; Kevin Zhang 003; Shreyas S. Vasanawala; Jonathan I. Tamir; Stella X. Yu; Michael Lustig (MICCAI (6), 2021)

Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. - Arjun D. Desai; Batu M. Ozturkler; Christopher M. Sandino; Shreyas Vasanawala; Brian A. Hargreaves; Christopher Ré; John M. Pauly; Akshay S. Chaudhari (CoRR, 2021)

Artifact- and content-specific quality assessment for MRI with image rulers. - Ke Lei; John M. Pauly; Shreyas S. Vasanawala (CoRR, 2021)

Uncertainty Quantification in Deep MRI Reconstruction. - Vineet Edupuganti; Morteza Mardani; Shreyas Vasanawala; John M. Pauly (IEEE Trans. Medical Imaging, 2021)

Wasserstein GANs for MR Imaging: From Paired to Unpaired Training. - Ke Lei; Morteza Mardani; John M. Pauly; Shreyas S. Vasanawala (IEEE Trans. Medical Imaging, 2021)

Learned Compression of High Dimensional Image Datasets. - Elizabeth K. Cole; Qingxi Meng; John M. Pauly; Shreyas Vasanawala (CVPR Workshops, 2022)

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. - Beliz Gunel; Arda Sahiner; Arjun D. Desai; Akshay S. Chaudhari; Shreyas Vasanawala; Mert Pilanci; John M. Pauly (MICCAI (6), 2022)

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. - Arjun D. Desai; Beliz Gunel; Batu M. Ozturkler; Harris Beg; Shreyas Vasanawala; Brian A. Hargreaves; Christopher Ré; John M. Pauly; Akshay S. Chaudhari (MIDL, 2022)

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. - Batu Ozturkler; Arda Sahiner; Tolga Ergen; Arjun D. Desai; Christopher M. Sandino; Shreyas Vasanawala; John M. Pauly; Morteza Mardani; Mert Pilanci (CoRR, 2022)

Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. - Dave Van Veen; Rogier van der Sluijs; Batu Ozturkler; Arjun D. Desai; Christian Bluethgen; Robert D. Boutin; Marc H. Willis; Gordon Wetzstein; David B. Lindell; Shreyas Vasanawala; John M. Pauly; Akshay S. Chaudhari (CoRR, 2022)

Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network. - Ke Lei; Ali B. Syed; Xucheng Zhu; John M. Pauly; Shreyas S. Vasanawala (CoRR, 2022)

Artifact- and content-specific quality assessment for MRI with image rulers. - Ke Lei; Ali B. Syed; Xucheng Zhu; John M. Pauly; Shreyas S. Vasanawala (Medical Image Anal., 2022)

A Semi-Blind Calibration and Compensation Method for Dynamic Range Recovery of Low-Power Pre-Amplifiers in MRI Receive Chains. - Christopher Vassos; Fraser Robb; Shreyas Vasanawala; John M. Pauly; Greig C. Scott (IEEE Trans. Medical Imaging, 2022)

SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization. - Frank Ong; Zheng Zhong; Congyu Liao; Michael Lustig; Shreyas S. Vasanawala; John M. Pauly (IEEE Trans. Medical Imaging, 2023)

On the Foundation Model for Cardiac MRI Reconstruction. - Chi Zhang; Michael Loecher; Cagan Alkan; Mahmut Yurt; Shreyas S. Vasanawala; Daniel B. Ennis (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Joint Optimization of Sampling Pattern and Reconstruction for Dynamic MRI. - Cagan Alkan; Julio Oscanoa; Xucheng Zhu; Ali B. Syed; Shreyas Vasanawala; John M. Pauly (ISBI, 2025)

MRI Retrospective Respiratory Gating and Cardiac Sensing by CW Doppler Radar: A Feasibility Study. - Wonje Lee; Kanghyun Ryu; Zhitao Li 004; Julio Oscanoa; Yuxin Wu; Fraser Robb; Shreyas Vasanawala; John M. Pauly; Greig C. Scott (IEEE Trans. Biomed. Eng., 2025)

AutoSamp: Autoencoding k-Space Sampling via Variational Information Maximization for 3D MRI. - Cagan Alkan; Morteza Mardani; Congyu Liao; Zhitao Li 004; Shreyas S. Vasanawala; John M. Pauly (IEEE Trans. Medical Imaging, 2025)