| 2025 | ACSSC | Phase-Adaptive Averaging and Score-Based Denoising for Inverse Problems in Diffusion Imaging. | Toygan Kilic, Yasar Utku Alalar, Steen Moeller, Mehmet Akakaya |
| 2021 | ACSSC | Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning. | mer Burak Demirel, Burhaneddin Yaman, Logan Dowdle, Steen Moeller, Luca Vizioli, Essa Yacoub, John P. Strupp, Cheryl A. Olman, Kmil Ugurbil, Mehmet Akakaya |
| 2021 | ACSSC | Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases. | Zilin Deng, Burhaneddin Yaman, Chi Zhang, Steen Moeller, Mehmet Akakaya |
| 2021 | ACSSC | Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. | Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akakaya |
| 2021 | ICASSP | Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking. | Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akakaya |
| 2019 | ACSSC | Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI. | Chi Zhang, Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingrtner, Kmil Ugurbil, Mehmet Akakaya |
| 2018 | ACSSC | Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks. | Chi Zhang, Steen Moeller, Sebastian Weingrtner, Kmil Ugurbil, Mehmet Akakaya |
| 2018 | IJCNN | Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging. | Mehmet Akakaya, Steen Moeller, Sebastian Weingrtner, Kmil Ugurbil |