Shreyas Vasanawala

25 papers A* 1Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Foundation Models for Multimodal MRI Synthesis with Language Guidance. ICCVW Mahmut Yurt, Xiaozhi Cao, Zihan Zhou, Kawin Setsompop, Shreyas Vasanawala, John M. Pauly
2025	—	`conf`	Joint Optimization of Sampling Pattern and Reconstruction for Dynamic MRI. ISBI Cagan Alkan, Julio Oscanoa, Xucheng Zhu, Ali B. Syed, Shreyas Vasanawala, John M. Pauly
2025	J	`jnl`	MRI Retrospective Respiratory Gating and Cardiac Sensing by CW Doppler Radar: A Feasibility Study. IEEE Trans. Biomed. Eng. Wonje Lee, Kanghyun Ryu, Zhitao Li, Julio Oscanoa, Yuxin Wu, Fraser Robb, Shreyas Vasanawala, John M. Pauly, Greig C. Scott
2025	J	`jnl`	The Impact of Artificial Intelligence on Radiologists' Reading Time in Bone Age Radiograph Assessment: A Preliminary Retrospective Observational Study. J. Imaging Inform. Medicine Sejin Jeong, Kyunghwa Han, Yaeseul Kang, Eun-Kyung Kim, Kyungchul Song, Shreyas Vasanawala, Hyun Joo Shin
2022	J	`jnl`	A Semi-Blind Calibration and Compensation Method for Dynamic Range Recovery of Low-Power Pre-Amplifiers in MRI Receive Chains. IEEE Trans. Medical Imaging Christopher Vassos, Fraser Robb, Shreyas Vasanawala, John M. Pauly, Greig C. Scott
2022	J	`jnl`	GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction. CoRR Batu Ozturkler, Arda Sahiner, Tolga Ergen, Arjun D. Desai, Christopher M. Sandino, Shreyas Vasanawala, John M. Pauly, Morteza Mardani, Mert Pilanci
2022	—	`conf`	Learned Compression of High Dimensional Image Datasets. CVPR Workshops Elizabeth K. Cole, Qingxi Meng, John M. Pauly, Shreyas Vasanawala
2022	J	`jnl`	Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks. CoRR 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
2022	—	`conf`	Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. MICCAI (6) Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly
2022	J	`jnl`	Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. CoRR Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly
2022	—	`conf`	VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. MIDL Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari
2021	—	`conf`	Evaluation of Patient Positioning to Mitigate RF-induced Heating of Cardiac Implantable Electronic Devices for Pediatric MRI Exams. EMBC Jessica A. Martinez, Tyler E. Cork, Henry Chubb, Shreyas Vasanawala, Daniel B. Ennis
2021	—	`conf`	K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency. ICCVW Kanghyun Ryu, Cagan Alkan, Chanyeol Choi, Ikbeom Jang, Shreyas Vasanawala
2021	J	`jnl`	Noise2Recon: A Semi-Supervised Framework for Joint MRI Reconstruction and Denoising. CoRR Arjun D. Desai, Batu M. Ozturkler, Christopher M. Sandino, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari
2021	J	`jnl`	Uncertainty Quantification in Deep MRI Reconstruction. IEEE Trans. Medical Imaging Vineet Edupuganti, Morteza Mardani, Shreyas Vasanawala, John M. Pauly
2020	J	`jnl`	Spectral Decomposition in Deep Networks for Segmentation of Dynamic Medical Images. CoRR Edgar A. Rios Piedra, Morteza Mardani, Frank Ong, Ukash Nakarmi, Joseph Y. Cheng, Shreyas Vasanawala
2019	J	`jnl`	Degrees of Freedom Analysis of Unrolled Neural Networks. CoRR Morteza Mardani, Qingyun Sun, Vardan Papyan, Shreyas Vasanawala, John M. Pauly, David L. Donoho
2019	J	`jnl`	Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. CoRR 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
2019	J	`jnl`	VAE-GANs for Probabilistic Compressive Image Recovery: Uncertainty Analysis. CoRR Vineet Edupuganti, Morteza Mardani, Joseph Y. Cheng, Shreyas Vasanawala, John M. Pauly
2018	A*	`conf`	Neural Proximal Gradient Descent for Compressive Imaging. NeurIPS Morteza Mardani, Qingyun Sun, David L. Donoho, Vardan Papyan, Hatef Monajemi, Shreyas Vasanawala, John M. Pauly
2017	J	`jnl`	Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR 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
2017	J	`jnl`	Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery. CoRR Morteza Mardani, Hatef Monajemi, Vardan Papyan, Shreyas Vasanawala, David L. Donoho, John M. Pauly
2016	J	`jnl`	Depletion-Mode GaN HEMT Q-Spoil Switches for MRI Coils. IEEE Trans. Medical Imaging Jonathan Y. Lu, Thomas Grafendorfer, Tao Zhang, Shreyas Vasanawala, Fraser Robb, John M. Pauly, Greig C. Scott
2012	J	`jnl`	Fast ℓ IEEE Trans. Medical Imaging Mark Murphy, Marcus T. Alley, James Demmel, Kurt Keutzer, Shreyas Vasanawala, Michael Lustig
2011	—	`conf`	Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients. ISBI Shreyas Vasanawala, M. J. Murphy, Marcus T. Alley, P. Lai, Kurt Keutzer, John M. Pauly, Michael Lustig