| 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 | 193 | 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 | 171 | 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 | 89 | 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 | 69 | 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 | 56 | 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 | 53 | 2021 |
| 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 | 53 | 2020 |
| 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 | 48 | 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 | 47 | 2015 |
| Deep convolutional neural networks for accelerated dynamic magnetic resonance imaging CM Sandino, N Dixit, SS Vasanawala, JY Cheng Medical Imaging Meets NIPS Workshop, 2017 | 46 | 2017 |
| Maeeg: Masked auto-encoder for eeg representation learning HYS Chien, H Goh, CM Sandino, JY Cheng arXiv preprint arXiv:2211.02625, 2022 | 42 | 2022 |
| 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 | 34 | 2020 |
| 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 | 29 | 2023 |
| 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 | 20 | 2021 |
| 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 | 17 | 2021 |
| 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 |
| Accelerated two‐dimensional phase‐contrast for cardiovascular MRI using deep learning‐based reconstruction with complex difference estimation JA Oscanoa, MJ Middione, AB Syed, CM Sandino, SS Vasanawala, ... Magnetic resonance in medicine 89 (1), 356-369, 2023 | 15 | 2023 |
| Upstream machine learning in radiology CM Sandino, EK Cole, C Alkan, AS Chaudhari, AM Loening, D Hyun, ... Radiologic Clinics 59 (6), 967-985, 2021 | 15 | 2021 |
| 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 | 15 | 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 | 14 | 2021 |
Shreyas VasanawalaProfessor of Radiology, Stanford UniversityПодтвержден адрес электронной почты в домене stanford.edu
