Artikel mit Open-Access-Mandaten - Christopher SandinoWeitere Informationen
Nicht verfügbar: 1
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
Mandate: US National Institutes of Health
Verfügbar: 21
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
Mandate: US National Institutes of Health
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
Mandate: US National Science Foundation, US National Institutes of Health
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
Mandate: US National Institutes of Health
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
Mandate: US National Institutes of Health
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
Mandate: US National Science Foundation, US National Institutes of Health
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
Mandate: US National Science Foundation, US National Institutes of Health
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
Mandate: US National Institutes of Health
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
Mandate: US National Institutes of Health, British Heart Foundation, National …
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
Mandate: US National Science Foundation, US Department of Defense, US National …
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
Mandate: US National Institutes of Health
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
Mandate: US National Institutes of Health
Upstream machine learning in radiology
CM Sandino, EK Cole, C Alkan, AS Chaudhari, AM Loening, D Hyun, ...
Radiologic Clinics 59 (6), 967-985, 2021
Mandate: US National Institutes of Health
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
Mandate: US National Institutes of Health
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
Mandate: US National Science Foundation, US National Institutes of Health
Rosette Trajectories Enable Ungated, Motion‐Robust, Simultaneous Cardiac and Liver T2* Iron Assessment
AM Bush, CM Sandino, S Ramachandran, F Ong, N Dwork, EJ Zucker, ...
Journal of Magnetic Resonance Imaging 52 (6), 1688-1698, 2020
Mandate: US National Institutes of Health
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
Mandate: US National Institutes of Health
Near‐silent and distortion‐free diffusion MRI in pediatric musculoskeletal disorders: Comparison with Echo planar imaging diffusion
JK Sandberg, VA Young, AB Syed, J Yuan, Y Hu, C Sandino, A Menini, ...
Journal of Magnetic Resonance Imaging 53 (2), 504-513, 2021
Mandate: US National Institutes of Health
Deep learning-based water-fat separation from dual-echo chemical shift-encoded imaging
Y Wu, M Alley, Z Li, K Datta, Z Wen, C Sandino, A Syed, H Ren, L Xing, ...
Bioengineering 9 (10), 579, 2022
Mandate: US National Institutes of Health
Coil sketching for computationally efficient MR iterative reconstruction
JA Oscanoa, F Ong, SS Iyer, Z Li, CM Sandino, B Ozturkler, DB Ennis, ...
Magnetic resonance in medicine 91 (2), 784-802, 2024
Mandate: US National Science Foundation, US Department of Defense, US National …
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