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)

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)

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. - Arjun D. Desai; Francesco Calivá; Claudia Iriondo; Naji Khosravan; Aliasghar Mortazi; Sachin Jambawalikar; Drew A. Torigian; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci; Radhika Tibrewala; Io Flament; et al. (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)

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)

Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. - Syed Muhammad Anwar; Ismail Irmakci; Drew A. Torigian; Sachin Jambawalikar; Georgios Z. Papadakis; Can Akgun; Jutta Ellermann; Mehmet Akçakaya; Ulas Bagci (J. Signal Process. Syst., 2022)