Burhaneddin Yaman

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

Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller et al. · Magnetic Resonance in Medicine · 2020 · 322 citations · Full text

Medicine, Biomedical Engineering, Radiology +17

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging

Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman et al. · IEEE Signal Processing Magazine · 2023 · 109 citations · Full text

Computing, Computer Science, Physics +17

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

Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Steen Moeller et al. · IEEE Journal of Selected Topics in Signal Processing · 2020 · 101 citations · Full text

Computing, Computer Science, Radiology +17

Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective

Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung et al. · IEEE Signal Processing Magazine · 2022 · 79 citations · Full text

Engineering, Biomedical Engineering, Computer Science +17

fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data

Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang et al. · Scientific Data · 2022 · 73 citations · Full text

Medicine, Pathology, Radiology +15