| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2070 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 614 | 2024 |
| Analysis of deep complexvalued convolutional neural networks for MRI reconstruction and phasefocused applications E Cole, J Cheng, J Pauly, S Vasanawala Magnetic resonance in medicine 86 (2), 1093-1109, 2021 | 112 | 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 | 88 | 2021 |
| Unsupervised MRI reconstruction with generative adversarial networks EK Cole, JM Pauly, SS Vasanawala, F Ong arXiv preprint arXiv:2008.13065, 2020 | 65 | 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 | 39 | 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 | 29 | 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 | 13 | 2021 |
| Automatic Detection of Multiple Organs Using Convolutional Neural Networks E Cole, S Hussein | 5 | 2015 |
| 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 |
| 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 | 4 | 2021 |
| 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 |
| 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 University在 stanford.edu 的电子邮件经过验证
