Burhaneddin Yaman
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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
142020
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
82017
Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data
B Yaman, SAH Hosseini, S Moeller, J Ellermann, K Uğurbil, M Akçakaya
arXiv preprint arXiv:1912.07669, 2019
72019
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms
SAH Hosseini, B Yaman, S Moeller, M Hong, M Akçakaya
arXiv preprint arXiv:1912.07197, 2019
42019
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
32019
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling
B Yaman, SAH Hosseini, M Akçakaya
arXiv preprint arXiv:2006.09450, 2020
12020
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
12019
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI
B Yaman, SAH Hosseini, S Moeller, J Ellermann, K Uğurbil, M Akçakaya
arXiv preprint arXiv:2008.06029, 2020
2020
Dense recurrent neural networks for accelerated MRI: History-cognizant unrolling of optimization algorithms
SAH Hosseini, B Yaman, S Moeller, M Hong, M Akcakaya
IEEE Journal of Selected Topics in Signal Processing, 2020
2020
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks
SAH Hosseini, B Yaman, S Moeller, M Akçakaya
arXiv preprint arXiv:2005.05550, 2020
2020
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
2020
High-Resolution Dynamic Myocardial T1 Mapping Using Low Rank Tensor Regularization Methods
B Yaman, S Weingärtner, S Moeller, N Kargas, N Sidiropoulos, ...
Annual Meeting of the International Society of Magnetic Resonance in Medicine, 2019
2019
High-Resolution Dynamic Topaz T1 Mapping Using Low Rank Tensor Regularization
B Yaman, S Weingärtner, N Kargas, M Akçakaya
Proceedings of the Society for Cardiovascular Magnetic Resonance, 2018
2018
Unified outage performance analysis of two-way/one-way full-duplex/half-duplex fixed-gain AF relay systems
A Koc, I Altunbas, B Yaman
2017 24th International Conference on Telecommunications (ICT), 1-5, 2017
2017
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Artiklar 1–14