| Monai: An open-source framework for deep learning in healthcare MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2022 | 352 | 2022 |
| Accelerated MRI with un-trained neural networks M Zalbagi Darestani, R Heckel IEEE Transactions on Computational Imaging 7, 724 - 733, 2021 | 123 | 2021 |
| Low cost DNA data storage using photolithographic synthesis and advanced information reconstruction and error correction PL Antkowiak, J Lietard, MZ Darestani, MM Somoza, WJ Stark, R Heckel, ... Nature communications 11 (1), 5345, 2020 | 110 | 2020 |
| Measuring Robustness in Deep Learning Based Compressive Sensing M Zalbagi Darestani, A Chaudhari, R Heckel International Conference on Machine Learning (ICML), 2021 | 90* | 2021 |
| Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing M Zalbagi Darestani, J Liu, R Heckel International Conference on Machine Learning (ICML), 2022 | 30* | 2022 |
| MONAI: An open-source framework for deep learning in healthcare, November 4, 2022 MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 0 | 6 | |
| IR-FRestormer: Iterative refinement with fourier-based restormer for accelerated MRI reconstruction MZ Darestani, V Nath, W Li, Y He, HR Roth, Z Xu, D Xu, R Heckel, C Zhao Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
| Can un-trained networks compete with trained ones for accelerated MRI? MZ Darestani, R Heckel Proc. 29th Annu. Meeting ISMRM, 2021 | 3 | 2021 |
| Improving the Robustness of Deep Learning Based Image Reconstruction Models Against Natural Distribution Shifts MZ Darestani Rice University, 2023 | | 2023 |
| MONAI Recon: An Open Source Tool for Deep Learning Based Accelerated MRI Reconstruction MZ Darestani, V Nath, W Li, Y He, HR Roth, Z Xu, D Xu, R Heckel, C Zhao | | |
| Rigid Motion Compensated Compressed Sensing MRI with Untrained Neural Networks MZ Darestani, S Ruschke, R Heckel | | |
Reinhard HeckelTechnical University of Munich and Rice University在 rice.edu 的电子邮件经过验证
