Seyed Amir Hossein Hosseini

According to our database, Seyed Amir Hossein Hosseini authored at least 15 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Zero-Shot Self-Supervised Learning for MRI Reconstruction.

Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Scan-Specific MRI Reconstruction using Zero-Shot Physics-Guided Deep Learning.

Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya

CoRR, 2021

Ground-Truth Free Multi-Mask Self-Supervised Physics-Guided Deep Learning in Highly Accelerated MRI.

Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking.

Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms.

Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya

IEEE J. Sel. Top. Signal Process., 2020

Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI.

Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya

CoRR, 2020

Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling.

Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Mehmet Akçakaya

CoRR, 2020

Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data.

Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework.

Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Chi Zhang, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks.

Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mehmet Akçakaya

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data.

Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Ugurbil, Mehmet Akçakaya

CoRR, 2019

Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms.

Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller, Mingyi Hong, Mehmet Akçakaya

CoRR, 2019

Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity Regularization.

Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI.

Chi Zhang, Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer.

Seyed Amir Hossein Hosseini, Abbas Sohrabpour, Mehmet Akçakaya, Bin He

IEEE Trans. Biomed. Eng., 2018