| Compressed sensing: From research to clinical practice with deep neural networks: Shortening scan times for magnetic resonance imaging CM Sandino, JY Cheng, F Chen, M Mardani, JM Pauly, SS Vasanawala IEEE signal processing magazine 37 (1), 117-127, 2020 | 163 | 2020 |
| Accelerating cardiac cine MRI using a deep learning‐based ESPIRiT reconstruction CM Sandino, P Lai, SS Vasanawala, JY Cheng Magnetic Resonance in Medicine 85 (1), 152-167, 2021 | 142 | 2021 |
| Prospective deployment of deep learning in MRI: a framework for important considerations, challenges, and recommendations for best practices AS Chaudhari, CM Sandino, EK Cole, DB Larson, GE Gold, ... Journal of Magnetic Resonance Imaging 54 (2), 357-371, 2021 | 79 | 2021 |
| Skm-tea: A dataset for accelerated mri reconstruction with dense image labels for quantitative clinical evaluation AD Desai, AM Schmidt, EB Rubin, CM Sandino, MS Black, V Mazzoli, ... arXiv preprint arXiv:2203.06823, 2022 | 51 | 2022 |
| Myocardial T2* mapping: influence of noise on accuracy and precision CM Sandino, P Kellman, AE Arai, MS Hansen, H Xue Journal of Cardiovascular Magnetic Resonance 17, 1-9, 2015 | 50 | 2015 |
| Reconstruction of undersampled 3D non‐Cartesian image‐based navigators for coronary MRA using an unrolled deep learning model MO Malavé, CA Baron, SP Koundinyan, CM Sandino, F Ong, JY Cheng, ... Magnetic resonance in medicine 84 (2), 800-812, 2020 | 46 | 2020 |
| Free-breathing T2* mapping using respiratory motion corrected averaging P Kellman, H Xue, BS Spottiswoode, CM Sandino, MS Hansen, ... Journal of Cardiovascular Magnetic Resonance 17 (1), 3, 2015 | 43 | 2015 |
| Free-breathing accelerated cardiac MRI using deep learning: validation in children and young adults EJ Zucker, CM Sandino, A Kino, P Lai, SS Vasanawala Radiology 300 (3), 539-548, 2021 | 42 | 2021 |
| Deep convolutional neural networks for accelerated dynamic magnetic resonance imaging CM Sandino, N Dixit, SS Vasanawala, JY Cheng Medical Imaging Meets NIPS Workshop, 2017 | 42 | 2017 |
| Diagnostic image quality assessment and classification in medical imaging: Opportunities and challenges JJ Ma, U Nakarmi, CYS Kin, CM Sandino, JY Cheng, AB Syed, P Wei, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 337-340, 2020 | 35 | 2020 |
| Methods and systems for magnetic resonance image reconstruction using an extended sensitivity model and a deep neural network CM Sandino, P Lai, S Vasanawala, JY Cheng US Patent 10,712,416, 2020 | 28 | 2020 |
| Maeeg: Masked auto-encoder for eeg representation learning HYS Chien, H Goh, CM Sandino, JY Cheng arXiv preprint arXiv:2211.02625, 2022 | 24 | 2022 |
| Near‐silent distortionless DWI using magnetization‐prepared RUFIS J Yuan, Y Hu, A Menini, CM Sandino, J Sandberg, V Sheth, CJ Moran, ... Magnetic resonance in medicine 84 (1), 170-181, 2020 | 17 | 2020 |
| Noise2recon: A semi-supervised framework for joint mri reconstruction and denoising AD Desai, BM Ozturkler, CM Sandino, S Vasanawala, BA Hargreaves, ... arXiv preprint arXiv:2110.00075, 2021 | 15 | 2021 |
| Free‐breathing mapping of hepatic iron overload in children using 3D multi‐echo UTE cones MRI Y Kee, CM Sandino, AB Syed, JY Cheng, A Shimakawa, TJ Colgan, ... Magnetic Resonance in Medicine, 2021 | 14 | 2021 |
| Noise2Recon: Enabling SNR‐robust MRI reconstruction with semi‐supervised and self‐supervised learning AD Desai, BM Ozturkler, CM Sandino, R Boutin, M Willis, S Vasanawala, ... Magnetic Resonance in Medicine 90 (5), 2052-2070, 2023 | 13 | 2023 |
| Memory-efficient learning for high-dimensional MRI reconstruction K Wang, M Kellman, CM Sandino, K Zhang, SS Vasanawala, JI Tamir, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 13 | 2021 |
| Upstream machine learning in radiology CM Sandino, EK Cole, C Alkan, AS Chaudhari, AM Loening, D Hyun, ... Radiologic Clinics 59 (6), 967-985, 2021 | 12 | 2021 |
| Diffusion‐weighted double‐echo steady‐state with a three‐dimensional cones trajectory for non‐contrast‐enhanced breast MRI CJ Moran, JY Cheng, CM Sandino, M Carl, MT Alley, J Rosenberg, ... Journal of Magnetic Resonance Imaging 53 (5), 1594-1605, 2021 | 12 | 2021 |
| Deep subspace learning for efficient reconstruction of spatiotemporal imaging data CM Sandino, F Ong, SS Iyer, A Bush, S Vasanawala NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 11 | 2021 |
Shreyas VasanawalaProfessor of Radiology, Stanford University在 stanford.edu 的电子邮件经过验证
