Seyed Amir Hossein Hosseini

发表

Solving Inverse Problems in Medical Imaging Using Statistical Signal Processing and Deep Learning

Seyed Amir Hossein Hosseini, 2020 .

sRAKI-RNN: accelerated MRI with scan-specific recurrent neural networks using densely connected blocks

Steen Moeller, Mehmet Akcakaya, Chi Zhang, 2019, Optical Engineering + Applications.

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

Steen Moeller, Mehmet Akçakaya, Mingyi Hong, 2019, ArXiv.

Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction

Steen Moeller, Mehmet Akçakaya, Seyed Amir Hossein Hosseini, 2019, PloS one.

Self‐supervised learning of physics‐guided reconstruction neural networks without fully sampled reference data

Steen Moeller, Mehmet Akçakaya, Seyed Amir Hossein Hosseini, 2019, Magnetic resonance in medicine.

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

Steen Moeller, Mehmet Akçakaya, Mingyi Hong, 2020, IEEE Journal of Selected Topics in Signal Processing.

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

Steen Moeller, Mehmet Akçakaya, Seyed Amir Hossein Hosseini, 2020, ArXiv.

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

Steen Moeller, Mehmet Akçakaya, Seyed Amir Hossein Hosseini, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

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

Steen Moeller, Kamil Ugurbil, Mehmet Akçakaya, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

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

Steen Moeller, Mehmet Akçakaya, Seyed Amir Hossein Hosseini, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Noise2Inpaint: Learning Referenceless Denoising by Inpainting Unrolling pdf

Mehmet Akçakaya, Seyed Amir Hossein Hosseini, Burhaneddin Yaman, 2020, ArXiv.

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

Steen Moeller, Mehmet Akçakaya, Seyed Amir Hossein Hosseini, 2020, ArXiv.

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

Mehmet Akçakaya, Seyed Amir Hossein Hosseini, Burhaneddin Yaman, 2021, ArXiv.

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

Steen Moeller, Mehmet Akçakaya, Seyed Amir Hossein Hosseini, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

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

Steen Moeller, Mehmet Akçakaya, Seyed Amir Hossein Hosseini, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).