| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 467 | 2023 |
| Analysis of deep complex‐valued convolutional neural networks for MRI reconstruction and phase‐focused applications E Cole, J Cheng, J Pauly, S Vasanawala Magnetic resonance in medicine 86 (2), 1093-1109, 2021 | 86 | 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 | 69 | 2021 |
| Unsupervised MRI reconstruction with generative adversarial networks EK Cole, JM Pauly, SS Vasanawala, F Ong arXiv preprint arXiv:2008.13065, 2020 | 53 | 2020 |
| Analysis of deep complex-valued convolutional neural networks for MRI reconstruction EK Cole, JY Cheng, JM Pauly, SS Vasanawala arXiv preprint arXiv:2004.01738, 2020 | 35 | 2020 |
| Fast unsupervised mri reconstruction without fully-sampled ground truth data using generative adversarial networks EK Cole, F Ong, SS Vasanawala, JM Pauly Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 22 | 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 | 9 | 2021 |
| Learned compression of high dimensional image datasets E Cole, Q Meng, J Pauly, S Vasanawala Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
| Unsupervised image reconstruction using deep generative adversarial networks EK Cole, F Ong, JM Pauly, SS Vasanawala ISMRM Work Data Sampling & Image Reconstruction, 2020 | 4 | 2020 |
| Automatic Detection of Multiple Organs Using Convolutional Neural Networks E Cole, S Hussein | 4 | 2015 |
| MRI image reconstruction from undersampled data using adversarially trained generative neural network EK Cole, SS Vasanawala, F Ong, JM Pauly US Patent 11,170,543, 2021 | 1 | 2021 |
| Improved Data Representations and Data-efficient Methods in Deep Learning for MRI Applications EK Cole Stanford University, 2022 | | 2022 |
| Improved Neural Network-Based Coil Compression EK Cole, Q Meng, A Raina, JM Pauly, SS Vasanawala | | |
| Learned Compression of High Dimensional MRI Datasets Q Meng, E Cole, J Pauly, S Vasanawala | | |
| Unsupervised Dynamic Image Reconstruction using Deep Generative Adversarial Networks and Total Variation Smoothing E Cole, S Vasanawala, J Pauly | | |
Shreyas VasanawalaProfessor of Radiology, Stanford UniversityVerified email at stanford.edu
