| Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data B Yaman, SAH Hosseini, S Moeller, J Ellermann, K Uğurbil, M Akçakaya Magnetic resonance in medicine 84 (6), 3172-3191, 2020 | 237 | 2020 |
| Dense recurrent neural networks for accelerated MRI: History-cognizant unrolling of optimization algorithms SAH Hosseini, B Yaman, S Moeller, M Hong, M Akçakaya IEEE Journal of Selected Topics in Signal Processing 14 (6), 1280-1291, 2020 | 93 | 2020 |
| Self-supervised physics-based deep learning MRI reconstruction without fully-sampled data B Yaman, SAH Hosseini, S Moeller, J Ellermann, K Uğurbil, M Akçakaya 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 921-925, 2020 | 79 | 2020 |
| Zero-shot self-supervised learning for MRI reconstruction B Yaman, SAH Hosseini, M Akçakaya arXiv preprint arXiv:2102.07737, 2021 | 56 | 2021 |
| 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 | 40 | 2020 |
| Electromagnetic source imaging using simultaneous scalp EEG and intracranial EEG: An emerging tool for interacting with pathological brain networks SAH Hosseini, A Sohrabpour, B He Clinical Neurophysiology 129 (1), 168-187, 2018 | 31 | 2018 |
| Multi‐mask self‐supervised learning for physics‐guided neural networks in highly accelerated magnetic resonance imaging B Yaman, H Gu, SAH Hosseini, OB Demirel, S Moeller, J Ellermann, ... NMR in Biomedicine 35 (12), e4798, 2022 | 26 | 2022 |
| Electromagnetic brain source imaging by means of a robust minimum variance beamformer SAH Hosseini, A Sohrabpour, M Akçakaya, B He IEEE Transactions on Biomedical Engineering 65 (10), 2365-2374, 2018 | 20 | 2018 |
| Accelerated coronary MRI using 3D SPIRiT-RAKI with sparsity regularization SAH Hosseini, S Moeller, S Weingärtner, K Uğurbil, M Akçakaya 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 19 | 2019 |
| 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 |
| Ground-truth free multi-mask self-supervised physics-guided deep learning in highly accelerated MRI B Yaman, SAH Hosseini, S Moeller, J Ellermann, K Uğurbil, M Akçakaya 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1850-1854, 2021 | 15 | 2021 |
| High-fidelity accelerated MRI reconstruction by scan-specific fine-tuning of physics-based neural networks SAH Hosseini, B Yaman, S Moeller, M Akçakaya 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 13 | 2020 |
| 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 | 12 | 2019 |
| 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 | 11 | 2019 |
| Zero-shot physics-guided deep learning for subject-specific MRI reconstruction B Yaman, SAH Hosseini, M Akcakaya NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 10 | 2021 |
| Improved supervised training of physics-guided deep learning image reconstruction with multi-masking B Yaman, SAH Hosseini, S Moeller, M Akçakaya ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
| Comparison of neural network architectures for physics-driven deep learning MRI reconstruction B Yaman, SAH Hosseini, S Moeller, M Akçakaya 2019 IEEE 10th Annual Information Technology, Electronics and Mobile …, 2019 | 5 | 2019 |
| Noise2inpaint: Learning referenceless denoising by inpainting unrolling B Yaman, SAH Hosseini, M Akçakaya arXiv preprint arXiv:2006.09450, 2020 | 2 | 2020 |
| Accelerated targeted coronary MRI using sparsity-regularized SPIRiT-RAKI SAH Hosseini, S Moeller, S Weingärtner, K Uğurbil, M Akçakaya Annual Meeting of the International Society of Magnetic Resonance in Medicine, 2019 | 2 | 2019 |
| 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 |
Mehmet AkcakayaAssociate Professor, University of MinnesotaDirección de correo verificada de umn.edu
