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ORCIDS. S. Vasanawala
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Journal Articles
- 2023
[j12]Frank Ong, Zheng Zhong
, Congyu Liao, Michael Lustig, Shreyas S. Vasanawala, John M. Pauly:
SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization. IEEE Trans. Medical Imaging 42(5): 1522-1531 (2023)- 2022
- [j11]Ke Lei, Ali B. Syed, Xucheng Zhu, John M. Pauly, Shreyas S. Vasanawala:
Artifact- and content-specific quality assessment for MRI with image rulers. Medical Image Anal. 77: 102344 (2022) - [j10]Christopher Vassos, Fraser Robb, Shreyas Vasanawala, John M. Pauly, Greig C. Scott:
A Semi-Blind Calibration and Compensation Method for Dynamic Range Recovery of Low-Power Pre-Amplifiers in MRI Receive Chains. IEEE Trans. Medical Imaging 41(12): 3762-3773 (2022) - 2021
- [j9]Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala:
Wasserstein GANs for MR Imaging: From Paired to Unpaired Training. IEEE Trans. Medical Imaging 40(1): 105-115 (2021) - [j8]Vineet Edupuganti, Morteza Mardani, Shreyas Vasanawala, John M. Pauly:
Uncertainty Quantification in Deep MRI Reconstruction. IEEE Trans. Medical Imaging 40(1): 239-250 (2021) - 2020
- [j7]Christopher M. Sandino, Joseph Y. Cheng, Feiyu Chen, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala:
Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. IEEE Signal Process. Mag. 37(1): 117-127 (2020) - 2019
- [j6]Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly:
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging 38(1): 167-179 (2019) - 2018
- [j5]Eric K. Gibbons, Patrick Le Roux, Shreyas S. Vasanawala, John M. Pauly, Adam B. Kerr:
Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging. IEEE Trans. Medical Imaging 37(1): 200-209 (2018) - 2017
- [j4]Eric K. Gibbons, Patrick Le Roux, Shreyas S. Vasanawala, John M. Pauly, Adam B. Kerr:
Body Diffusion Weighted Imaging Using Non-CPMG Fast Spin Echo. IEEE Trans. Medical Imaging 36(2): 549-559 (2017) - 2016
- [j3]Jonathan Y. Lu, Thomas Grafendorfer, Tao Zhang, Shreyas Vasanawala, Fraser Robb, John M. Pauly, Greig C. Scott:
Depletion-Mode GaN HEMT Q-Spoil Switches for MRI Coils. IEEE Trans. Medical Imaging 35(12): 2558-2567 (2016) - 2015
- [j2]F. Edward Boas, Aya Kamaya, Bao H. Do, Terry S. Desser, Christopher F. Beaulieu, Shreyas S. Vasanawala, Gloria L. Hwang, Daniel Y. Sze:
Classification of Hypervascular Liver Lesions Based on Hepatic Artery and Portal Vein Blood Supply Coefficients Calculated from Triphasic CT Scans. J. Digit. Imaging 28(2): 213-223 (2015) - 2012
- [j1]Mark Murphy, Marcus T. Alley, James Demmel, Kurt Keutzer, Shreyas Vasanawala, Michael Lustig:
Fast ℓ1-SPIRiT Compressed Sensing Parallel Imaging MRI: Scalable Parallel Implementation and Clinically Feasible Runtime. IEEE Trans. Medical Imaging 31(6): 1250-1262 (2012)
Conference and Workshop Papers
- 2022
- [c12]Elizabeth K. Cole, Qingxi Meng, John M. Pauly, Shreyas Vasanawala:
Learned Compression of High Dimensional Image Datasets. CVPR Workshops 2022: 1747-1751 - [c11]Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. MICCAI (6) 2022: 737-747 - [c10]Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. MIDL 2022: 325-352 - 2021
- [c9]Jessica Martinez, Tyler E. Cork, Henry Chubb, Shreyas Vasanawala, Daniel B. Ennis:
Evaluation of Patient Positioning to Mitigate RF-induced Heating of Cardiac Implantable Electronic Devices for Pediatric MRI Exams. EMBC 2021: 5027-5030 - [c8]Elizabeth K. Cole, Frank Ong, Shreyas S. Vasanawala, John M. Pauly:
Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks. ICCVW 2021: 3971-3980 - [c7]Kanghyun Ryu, Cagan Alkan, Chanyeol Choi, Ikbeom Jang, Shreyas Vasanawala:
K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency. ICCVW 2021: 3991-4000 - [c6]Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig:
Memory-Efficient Learning for High-Dimensional MRI Reconstruction. MICCAI (6) 2021: 461-470 - 2020
- [c5]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:
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. ISBI 2020: 337-340 - [c4]Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly, Leslie Ying, Shreyas S. Vasanawala:
Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. ISBI 2020: 1056-1059 - 2018
- [c3]Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly:
Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS 2018: 9596-9606 - 2013
- [c2]Frank Ong, Martin Uecker, Umar Tariq, Albert Hsiao, Marcus T. Alley, S. S. Vasanawala, Michael Lustig:
Improved visualization and quantification of 4D flow MRI data using divergence-freewavelet denoising. ISBI 2013: 1186-1189 - 2011
- [c1]Shreyas Vasanawala, M. J. Murphy, Marcus T. Alley, P. Lai, Kurt Keutzer, John M. Pauly, Michael Lustig:
Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients. ISBI 2011: 1039-1043
Informal and Other Publications
- 2022
- [i22]Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. CoRR abs/2204.10436 (2022) - [i21]Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci:
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. CoRR abs/2207.08393 (2022) - [i20]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:
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. CoRR abs/2210.08676 (2022) - [i19]Ke Lei, Ali B. Syed, Xucheng Zhu, John M. Pauly, Shreyas S. Vasanawala:
Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network. CoRR abs/2211.04703 (2022) - 2021
- [i18]Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig:
Memory-efficient Learning for High-Dimensional MRI Reconstruction. CoRR abs/2103.04003 (2021) - [i17]Arjun D. Desai, Batu M. Ozturkler, Christopher M. Sandino, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. CoRR abs/2110.00075 (2021) - [i16]Ke Lei, John M. Pauly, Shreyas S. Vasanawala:
Artifact- and content-specific quality assessment for MRI with image rulers. CoRR abs/2111.03780 (2021) - 2020
- [i15]Elizabeth K. Cole, Joseph Y. Cheng, John M. Pauly, Shreyas S. Vasanawala:
Complex-Valued Convolutional Neural Networks for MRI Reconstruction. CoRR abs/2004.01738 (2020) - [i14]Elizabeth K. Cole, John M. Pauly, Shreyas S. Vasanawala, Frank Ong:
Unsupervised MRI Reconstruction with Generative Adversarial Networks. CoRR abs/2008.13065 (2020) - [i13]Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala:
Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images. CoRR abs/2010.00003 (2020) - 2019
- [i12]Vineet Edupuganti, Morteza Mardani, Joseph Y. Cheng, Shreyas Vasanawala, John M. Pauly:
VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. CoRR abs/1901.11228 (2019) - [i11]Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala:
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. CoRR abs/1903.07824 (2019) - [i10]Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho:
Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR abs/1906.03742 (2019) - [i9]Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasawanala:
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training. CoRR abs/1910.07048 (2019) - [i8]Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng:
Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. CoRR abs/1911.05845 (2019) - [i7]Jeffrey J. Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher M. Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas Vasanawala:
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. CoRR abs/1912.02907 (2019) - 2018
- [i6]Joseph Y. Cheng, Feiyu Chen, Marcus T. Alley, John M. Pauly, Shreyas S. Vasanawala:
Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering. CoRR abs/1805.03300 (2018) - [i5]Morteza Mardani, Qingyun Sun, Shreyas Vasawanala, Vardan Papyan, Hatef Monajemi, John M. Pauly, David L. Donoho:
Neural Proximal Gradient Descent for Compressive Imaging. CoRR abs/1806.03963 (2018) - [i4]Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig:
Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. CoRR abs/1809.04195 (2018) - [i3]David Y. Zeng, Jamil Shaikh, Dwight G. Nishimura, Shreyas S. Vasanawala, Joseph Y. Cheng:
Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones. CoRR abs/1810.00072 (2018) - 2017
- [i2]Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas Vasanawala, Greg Zaharchuk, Marcus T. Alley, Neil Thakur, Song Han, William J. Dally, John M. Pauly, Lei Xing:
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR abs/1706.00051 (2017) - [i1]Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly:
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. CoRR abs/1711.10046 (2017)
Coauthor Index
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