Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer. - Seyed Amir Hossein Hosseini; Abbas Sohrabpour; Mehmet Akçakaya; Bin He 002 (IEEE Trans. Biomed. Eng., 2018)

Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI. - Chi Zhang 057; Seyed Amir Hossein Hosseini; Steen Moeller; Sebastian Weingärtner; Kâmil Ugurbil; Mehmet Akçakaya (ACSSC, 2019)

Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity Regularization. - Seyed Amir Hossein Hosseini; Steen Moeller; Sebastian Weingärtner; Kâmil Ugurbil; Mehmet Akçakaya (ISBI, 2019)

Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mingyi Hong 001; Mehmet Akçakaya (CoRR, 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)

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 (EMBC, 2020)

Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Chi Zhang 057; Kâmil Ugurbil; Steen Moeller; Mehmet Akçakaya (ISBI Workshops, 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 (ISBI, 2020)

Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Mehmet Akçakaya (CoRR, 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)

Dense Recurrent Neural Networks for Accelerated MRI: History-Cognizant Unrolling of Optimization Algorithms. - Seyed Amir Hossein Hosseini; Burhaneddin Yaman; Steen Moeller; Mingyi Hong 001; Mehmet Akçakaya (IEEE J. Sel. Top. Signal Process., 2020)

Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Steen Moeller; Mehmet Akçakaya (ICASSP, 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 (ISBI, 2021)

Scan-Specific MRI Reconstruction using Zero-Shot Physics-Guided Deep Learning. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Mehmet Akçakaya (CoRR, 2021)

Zero-Shot Self-Supervised Learning for MRI Reconstruction. - Burhaneddin Yaman; Seyed Amir Hossein Hosseini; Mehmet Akçakaya (ICLR, 2022)