Seyed Amir Hossein Hosseini
Title
Cited by
Cited by
Year
Self-supervised physics-based deep learning MRI reconstruction without fully-sampled data
B Yaman, SAH Hosseini, S Moeller, J Ellermann, K Uğurbil, M Akšakaya
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 921-925, 2020
212020
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 Akšakaya
Magnetic resonance in medicine 84 (6), 3172-3191, 2020
152020
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 Akšakaya
Magnetic resonance in medicine 84 (6), 3172-3191, 2020
152020
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
152018
Accelerated coronary MRI using 3D SPIRiT-RAKI with sparsity regularization
SAH Hosseini, S Moeller, S Weingńrtner, K Uğurbil, M Akšakaya
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019á…, 2019
92019
Accelerated coronary MRI with sRAKI: A database-free self-consistent neural network k-space reconstruction for arbitrary undersampling
SAH Hosseini, C Zhang, S Weingńrtner, S Moeller, M Stuber, K Ugurbil, ...
Plos one 15 (2), e0229418, 2020
72020
sRAKI-RNN: accelerated MRI with scan-specific recurrent neural networks using densely connected blocks
SAH Hosseini, C Zhang, K Uǧurbil, S Moeller, M Akšakaya
Wavelets and Sparsity XVIII 11138, 111381B, 2019
72019
Electromagnetic brain source imaging by means of a robust minimum variance beamformer
SAH Hosseini, A Sohrabpour, M Akšakaya, B He
IEEE Transactions on Biomedical Engineering 65 (10), 2365-2374, 2018
72018
Dense recurrent neural networks for accelerated mri: History-cognizant unrolling of optimization algorithms
SAH Hosseini, B Yaman, S Moeller, M Hong, M Akšakaya
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1280-1291, 2020
42020
Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms
SAH Hosseini, B Yaman, S Moeller, M Hong, M Akšakaya
arXiv preprint arXiv:1912.07197, 2019
42019
Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI
C Zhang, SAH Hosseini, S Moeller, S Weingńrtner, K Ugurbil, M Akcakaya
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1476-1480, 2019
22019
Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction
C Zhang, SAH Hosseini, S Weingńrtner, K Uǧurbil, S Moeller, ...
PloS one 14 (10), e0223315, 2019
22019
Comparison of Neural Network Architectures for Physics-Driven Deep Learning MRI Reconstruction
B Yaman, SAH Hosseini, S Moeller, M Akšakaya
2019 IEEE 10th Annual Information Technology, Electronics and Mobileá…, 2019
22019
Accelerated targeted coronary MRI using sparsity-regularized SPIRiT-RAKI
SAH Hosseini, S Moeller, S Weingńrtner, K Uğurbil, M Akšakaya
Annual Meeting of the International Society of Magnetic Resonance in Medicine, 2019
22019
Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling
B Yaman, SAH Hosseini, M Akšakaya
arXiv preprint arXiv:2006.09450, 2020
12020
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks
SAH Hosseini, B Yaman, S Moeller, M Akšakaya
arXiv preprint arXiv:2005.05550, 2020
12020
Accelerated coronary MRI using SPIRiT-RAKI with gradient descent-based self-consistency
SAH Hosseini, S Moeller, S Weingńrtner, K Uğurbil, M Akšakaya
SCMR/ISMRM Co-Provided Workshop on the Emerging Role of Machine Learning iná…, 2019
12019
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 Akšakaya
2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBIá…, 2020
2020
Solving Inverse Problems in Medical Imaging Using Statistical Signal Processing and Deep Learning
SAH Hosseini
2020
SPIRiT-RAKI: Scan-Specific Self-Consistency Neural Networks for Reconstruction Arbitrary k-space
SAH Hosseini, S Moeller, S Weingartner, K Uğurbil, M Akšakaya
ISMRM Workshop on Machine Learning Part II, 2018
2018
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