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Burhaneddin Yaman
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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
2312020
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
922020
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
772020
Zero-shot self-supervised learning for MRI reconstruction
B Yaman, SAH Hosseini, M Akçakaya
International Conference on Learning Representations (ICLR), 2022
532022
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
49*2022
Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac Mapping
B Yaman, S Weingärtner, N Kargas, ND Sidiropoulos, M Akçakaya
IEEE transactions on computational imaging 6, 194-207, 2019
442019
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
39*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
31*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
252022
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
182021
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
162017
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
152021
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
152021
Revisiting -wavelet compressed-sensing MRI in the era of deep learning
H Gu, B Yaman, S Moeller, J Ellermann, K Ugurbil, M Akçakaya
Proceedings of the National Academy of Sciences 119 (33), e2201062119, 2022
132022
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
132020
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
102021
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
92021
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
92021
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
92021
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
82021
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