| Deep learning-based reconstruction for cardiac MRI: a review JA Oscanoa, MJ Middione, C Alkan, M Yurt, M Loecher, SS Vasanawala, ... Bioengineering 10 (3), 334, 2023 | 71 | 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 | 22 | 2021 |
| AutoSamp: Autoencoding k-space Sampling via Variational Information Maximization for 3D MRI C Alkan, M Mardani, C Liao, Z Li, SS Vasanawala, JM Pauly IEEE Transactions on Medical Imaging, 2024 | 20 | 2024 |
| Data-and Physics-driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies J Huang, Y Wu, F Wang, Y Fang, Y Nan, C Alkan, D Abraham, C Liao, ... IEEE Reviews in Biomedical Engineering, 2024 | 17 | 2024 |
| Variational Diffusion Models for Blind MRI Inverse Problems C Alkan, J Oscanoa, D Abraham, M Gao, A Nurdinova, K Setsompop, ... NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 2023 | 14 | 2023 |
| Applying machine learning for human seizure prediction E Dadgar-Kiani, C Alkan, A Shameli semanticscholar, 2016 | 11 | 2016 |
| Spherical echo‐planar time‐resolved imaging (sEPTI) for rapid 3D quantitative and susceptibility imaging N Wang, C Liao, X Cao, M Nishimura, YWE Brackenier, M Yurt, M Gao, ... Magnetic Resonance in Medicine 93 (1), 121-137, 2025 | 8 | 2025 |
| K-space refinement in deep learning mr reconstruction via regularizing scan specific spirit-based self consistency K Ryu, C Alkan, C Choi, I Jang, S Vasanawala Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 8 | 2021 |
| Improving high frequency image features of deep learning reconstructions via k‐space refinement with null‐space kernel K Ryu, C Alkan, SS Vasanawala Magnetic resonance in medicine 88 (3), 1263-1272, 2022 | 7 | 2022 |
| Learning to sample MRI via variational information maximization C Alkan, M Mardani, S Vasanawala, JM Pauly NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020 | 5 | 2020 |
| Multi-task accelerated mr reconstruction schemes for jointly training multiple contrasts V Liu, K Ryu, C Alkan, JM Pauly, S Vasanawala NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 4 | 2021 |
| Magnetic resonance contrast prediction using deep learning C Alkan, J Cocjin, A Weitz Google Scholar, 2016 | 4 | 2016 |
| Data and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies J Huang, Y Wu, F Wang, Y Fang, Y Nan, C Alkan, D Abraham, C Liao, ... arXiv preprint arXiv:2401.16564, 2024 | 2 | 2024 |
| On the Foundation Model for Cardiac MRI Reconstruction C Zhang, M Loecher, C Alkan, M Yurt, SS Vasanawala, DB Ennis International Workshop on Statistical Atlases and Computational Models of …, 2024 | 1 | 2024 |
| Convolutional neural network for real-time high spatial resolution functional magnetic resonance imaging C Alkan, Z Fang, JH Lee Proc 27th Annual Meeting of ISMRM, Montréal, 4792, 2019 | 1 | 2019 |
| Joint Optimization of Data Sampling and Reconstruction for Dynamic MRI C Alkan, J Oscanoa, A Dimnaku, A Syed, S Vasanawala, J Pauly | 1 | |
| Joint Data Driven Optimization of MRI Data Sampling and Reconstruction via Variational Information Maximization C Alkan, M Mardani, SS Vasanawala, JM Pauly | 1 | |
| DM-Net: a physics-model-independent direct mapping approach for calibration-free multi-coil MRI Y Wu, C Alkan, J Oscanoa, A Sun, K Setsompop, A Syed, Y Ma, C Liao, ... | | 2025 |
| Method for improving high frequency image features and details in deep learning MRI reconstructions SS Vasanawala, K Ryu, C Alkan US Patent 12,387,394, 2025 | | 2025 |
| Joint Optimization of Sampling Pattern and Reconstruction for Dynamic MRI C Alkan, J Oscanoa, X Zhu, A Syed, S Vasanawala, J Pauly 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 1-5, 2025 | | 2025 |
Shreyas VasanawalaProfessor of Radiology, Stanford UniversityVerified email at stanford.edu
