| Deep-learning methods for parallel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues F Knoll, K Hammernik, C Zhang, S Moeller, T Pock, DK Sodickson, ... IEEE signal processing magazine 37 (1), 128-140, 2020 | 338 | 2020 |
| Accelerated coronary MRI with sRAKI: A database-free self-consistent neural network k-space reconstruction for arbitrary undersampling SAH Hosseini, C Zhang, S Weingärtner, S Moeller, M Stuber, K Ugurbil, ... Plos one 15 (2), e0229418, 2020 | 47 | 2020 |
| Deep learning methods for parallel magnetic resonance image reconstruction F Knoll, K Hammernik, C Zhang, S Moeller, T Pock, DK Sodickson, ... arXiv preprint arXiv:1904.01112, 2019 | 34 | 2019 |
| Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning C Zhang, S Moeller, OB Demirel, K Uğurbil, M Akçakaya NeuroImage 256, 119248, 2022 | 19 | 2022 |
| Instabilities in conventional multi-coil MRI reconstruction with small adversarial perturbations C Zhang, J Jia, B Yaman, S Moeller, S Liu, M Hong, M Akçakaya 2021 55th Asilomar Conference on Signals, Systems, and Computers, 895-899, 2021 | 17 | 2021 |
| Scan-specific residual convolutional neural networks for fast MRI using residual RAKI C Zhang, SAH Hosseini, S Moeller, S Weingärtner, K Ugurbil, M Akcakaya 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1476-1480, 2019 | 17 | 2019 |
| Accelerated simultaneous multi-slice MRI using subject-specific convolutional neural networks C Zhang, S Moeller, S Weingärtner, K Uğurbil, M Akçakaya 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1636-1640, 2018 | 17 | 2018 |
| Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction C Zhang, SAH Hosseini, S Weingärtner, K Uǧurbil, S Moeller, ... Plos one 14 (10), e0223315, 2019 | 13 | 2019 |
| sRAKI-RNN: accelerated MRI with scan-specific recurrent neural networks using densely connected blocks SAH Hosseini, C Zhang, K Uǧurbil, S Moeller, M Akçakaya Wavelets and Sparsity XVIII 11138, 393-399, 2019 | 13 | 2019 |
| Distributed memory-efficient physics-guided deep learning reconstruction for large-scale 3d non-cartesian MRI C Zhang, D Piccini, OB Demirel, G Bonanno, B Yaman, M Stuber, ... 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 11 | 2022 |
| Accelerated MRI using residual RAKI: Scan-specific learning of reconstruction artifacts C Zhang, S Moeller, S Weingärtner, K Uğurbil, M Akçakaya Annual Meeting of the International Society of Magnetic Resonance in Medicine, 2019 | 10 | 2019 |
| fast GPU implementation of a scan-specific deep learning reconstruction for accelerated magnetic resonance imaging C Zhang, S Weingärtner, S Moeller, K Uğurbil, M Akçakaya 2018 IEEE International Conference on Electro/Information Technology (EIT …, 2018 | 7 | 2018 |
| Methods for scan-specific artifact reduction in accelerated magnetic resonance imaging using residual machine learning algorithms M Akcakaya, S Moeller, C Zhang US Patent 11,714,152, 2023 | 6 | 2023 |
| Computationally Efficient 3D MRI Reconstruction with Adaptive MLP EZ Chen, C Zhang, X Chen, Y Liu, T Chen, S Sun International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
| Efficient training of 3D unrolled neural networks for MRI reconstruction using small databases Z Deng, B Yaman, C Zhang, S Moeller, M Akçakaya 2021 55th Asilomar Conference on Signals, Systems, and Computers, 886-889, 2021 | 4 | 2021 |
| Large-scale 3D non-Cartesian coronary MRI reconstruction using distributed memory-efficient physics-guided deep learning with limited training data C Zhang, D Piccini, OB Demirel, G Bonanno, CW Roy, B Yaman, ... Magnetic Resonance Materials in Physics, Biology and Medicine, 1-10, 2024 | 3 | 2024 |
| High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI ÖB Demirel, C Zhang, B Yaman, M Gulle, C Shenoy, T Leiner, P Kellman, ... 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 2 | 2023 |
| Dynamic mlp for mri reconstruction C Zhang, EZ Chen, X Chen, Y Liu, T Chen, S Sun arXiv e-prints, arXiv: 2301.08868, 2023 | 2 | 2023 |
| Uncertainty-Guided Physics-Driven Deep Learning Reconstruction via Cyclic Measurement Consistency C Zhang, M Akçakaya ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Scan-specific accelerated MRI reconstruction using recurrent neural networks in a regularized self-consistent framework SAH Hosseini, B Yaman, C Zhang, K Uğurbil, S Moeller, M Akçakaya 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI …, 2020 | 1 | 2020 |