Shreyas S. Vasanawala

25 papers Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AutoSamp: Autoencoding k-Space Sampling via Variational Information Maximization for 3D MRI. IEEE Trans. Medical Imaging Cagan Alkan, Morteza Mardani, Congyu Liao, Zhitao Li, Shreyas S. Vasanawala, John M. Pauly
2024	—	`conf`	On the Foundation Model for Cardiac MRI Reconstruction. CMRxRecon/MBAS/STACOM@MICCAI Chi Zhang, Michael Loecher, Cagan Alkan, Mahmut Yurt, Shreyas S. Vasanawala, Daniel B. Ennis
2024	J	`jnl`	On the Foundation Model for Cardiac MRI Reconstruction. CoRR Chi Zhang, Michael Loecher, Cagan Alkan, Mahmut Yurt, Shreyas S. Vasanawala, Daniel B. Ennis
2023	J	`jnl`	SLfRank: Shinnar-Le-Roux Pulse Design With Reduced Energy and Accurate Phase Profiles Using Rank Factorization. IEEE Trans. Medical Imaging Frank Ong, Zheng Zhong, Congyu Liao, Michael Lustig, Shreyas S. Vasanawala, John M. Pauly
2022	J	`jnl`	Artifact- and content-specific quality assessment for MRI with image rulers. Medical Image Anal. Ke Lei, Ali B. Syed, Xucheng Zhu, John M. Pauly, Shreyas S. Vasanawala
2022	J	`jnl`	Automated MRI Field of View Prescription from Region of Interest Prediction by Intra-stack Attention Neural Network. CoRR Ke Lei, Ali B. Syed, Xucheng Zhu, John M. Pauly, Shreyas S. Vasanawala
2021	J	`jnl`	Artifact- and content-specific quality assessment for MRI with image rulers. CoRR Ke Lei, John M. Pauly, Shreyas S. Vasanawala
2021	—	`conf`	Fast Unsupervised MRI Reconstruction Without Fully-Sampled Ground Truth Data Using Generative Adversarial Networks. ICCVW Elizabeth K. Cole, Frank Ong, Shreyas S. Vasanawala, John M. Pauly
2021	—	`conf`	Memory-Efficient Learning for High-Dimensional MRI Reconstruction. MICCAI (6) Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2021	J	`jnl`	Memory-efficient Learning for High-Dimensional MRI Reconstruction. CoRR Ke Wang, Michael R. Kellman, Christopher M. Sandino, Kevin Zhang, Shreyas S. Vasanawala, Jonathan I. Tamir, Stella X. Yu, Michael Lustig
2021	J	`jnl`	Wasserstein GANs for MR Imaging: From Paired to Unpaired Training. IEEE Trans. Medical Imaging Ke Lei, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
2020	J	`jnl`	Complex-Valued Convolutional Neural Networks for MRI Reconstruction. CoRR Elizabeth K. Cole, Joseph Y. Cheng, John M. Pauly, Shreyas S. Vasanawala
2020	J	`jnl`	Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging. IEEE Signal Process. Mag. Christopher M. Sandino, Joseph Y. Cheng, Feiyu Chen, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
2020	—	`conf`	Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. ISBI 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
2020	—	`conf`	Multi-scale Unrolled Deep Learning Framework for Accelerated Magnetic Resonance Imaging. ISBI Ukash Nakarmi, Joseph Y. Cheng, Edgar P. Rios, Morteza Mardani, John M. Pauly, Leslie Ying, Shreyas S. Vasanawala
2020	J	`jnl`	Unsupervised MRI Reconstruction with Generative Adversarial Networks. CoRR Elizabeth K. Cole, John M. Pauly, Shreyas S. Vasanawala, Frank Ong
2019	J	`jnl`	Accelerating cardiac cine MRI beyond compressed sensing using DL-ESPIRiT. CoRR Christopher M. Sandino, Peng Lai, Shreyas S. Vasanawala, Joseph Y. Cheng
2019	J	`jnl`	Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning. CoRR Joseph Y. Cheng, Feiyu Chen, Christopher M. Sandino, Morteza Mardani, John M. Pauly, Shreyas S. Vasanawala
2019	J	`jnl`	Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly
2018	J	`jnl`	Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. CoRR Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig
2018	J	`jnl`	Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones. CoRR David Y. Zeng, Jamil Shaikh, Dwight G. Nishimura, Shreyas S. Vasanawala, Joseph Y. Cheng
2018	J	`jnl`	Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering. CoRR Joseph Y. Cheng, Feiyu Chen, Marcus T. Alley, John M. Pauly, Shreyas S. Vasanawala
2018	J	`jnl`	Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging. IEEE Trans. Medical Imaging Eric K. Gibbons, Patrick Le Roux, Shreyas S. Vasanawala, John M. Pauly, Adam B. Kerr
2017	J	`jnl`	Body Diffusion Weighted Imaging Using Non-CPMG Fast Spin Echo. IEEE Trans. Medical Imaging Eric K. Gibbons, Patrick Le Roux, Shreyas S. Vasanawala, John M. Pauly, Adam B. Kerr
2015	J	`jnl`	Classification of Hypervascular Liver Lesions Based on Hepatic Artery and Portal Vein Blood Supply Coefficients Calculated from Triphasic CT Scans. J. Digit. Imaging F. Edward Boas, Aya Kamaya, Bao H. Do, Terry S. Desser, Christopher F. Beaulieu, Shreyas S. Vasanawala, Gloria L. Hwang, Daniel Y. Sze