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
242 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
94 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
81 2020 Zero-shot self-supervised learning for MRI reconstruction B Yaman, SAH Hosseini, M Akçakaya
International Conference on Learning Representations (ICLR), 2022
57 2022 Unsupervised deep learning methods for biological image reconstruction and enhancement: An overview from a signal processing perspective M Akçakaya, B Yaman, H Chung, JC Ye
IEEE Signal Processing Magazine 39 (2), 28-44, 2022
56 * 2022 Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac B Yaman, S Weingärtner, N Kargas, ND Sidiropoulos, M Akçakaya
IEEE transactions on computational imaging 6, 194-207, 2019
49 2019 fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data R Zhao, B Yaman, Y Zhang, R Stewart, A Dixon, F Knoll, Z Huang, YW Lui, ...
Scientific Data 9 (1), 152, 2022
42 * 2022 Physics-driven deep learning for computational magnetic resonance imaging: Combining physics and machine learning for improved medical imaging K Hammernik, T Küstner, B Yaman, Z Huang, D Rueckert, F Knoll, ...
IEEE signal processing magazine 40 (1), 98-114, 2023
35 * 2023 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
28 2022 Self-supervised physics-guided deep learning reconstruction for high-resolution 3D LGE CMR B Yaman, C Shenoy, Z Deng, S Moeller, H El-Rewaidy, R Nezafat, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 100-104, 2021
18 2021 Locally low-rank tensor regularization for high-resolution quantitative dynamic MRI B Yaman, S Weingärtner, N Kargas, ND Sidiropoulos, M Akçakaya
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
16 2017 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
15 2021 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 Revisiting H Gu, B Yaman, S Moeller, J Ellermann, K Ugurbil, M Akçakaya
Proceedings of the National Academy of Sciences 119 (33), e2201062119, 2022
13 2022 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 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
11 2021 End-to-end AI-based MRI reconstruction and lesion detection pipeline for evaluation of deep learning image reconstruction R Zhao, Y Zhang, B Yaman, MP Lungren, MS Hansen
arXiv preprint arXiv:2109.11524, 2021
10 2021 20-fold accelerated 7T fMRI using referenceless self-supervised deep learning reconstruction OB Demirel, B Yaman, L Dowdle, S Moeller, L Vizioli, E Yacoub, J Strupp, ...
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
9 2021 Improved simultaneous multi-slice functional MRI using self-supervised deep learning OB Demirel, B Yaman, L Dowdle, S Moeller, L Vizioli, E Yacoub, J Strupp, ...
2021 55th Asilomar Conference on Signals, Systems, and Computers, 890-894, 2021
9 2021 Compressed Sensing MRI with ℓ1 -Wavelet Reconstruction Revisited Using Modern Data Science Tools H Gu, B Yaman, K Ugurbil, S Moeller, M Akçakaya
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
8 2021 
Mehmet AkcakayaAssociate Professor, University of MinnesotaDirección de correo verificada de umn.edu
