| 2025 | ACSSC | Phase-Adaptive Averaging and Score-Based Denoising for Inverse Problems in Diffusion Imaging. | Toygan Kilic, Yasar Utku Alalar, Steen Moeller, Mehmet Akakaya |
| 2025 | ACSSC | A Self-Validation Metric for Referenceless Image Quality Assessment of Computational Imaging Algorithms. | Pranav Salapaka, Yasar Utku Alalar, Burhaneddin Yaman, Mehmet Akakaya |
| 2025 | ICIP | Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction. | Yasar Utku Alalar, Mehmet Akakaya |
| 2025 | WACV | Generative Model-Based Fusion for Improved Few-Shot Semantic Segmentation of Infrared Images. | Junno Yun, Mehmet Akakaya |
| 2024 | ECCV | Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems. | Yasar Utku Alalar, Mehmet Akakaya |
| 2024 | ICASSP | Uncertainty-Guided Physics-Driven Deep Learning Reconstruction via Cyclic Measurement Consistency. | Chi Zhang, Mehmet Akakaya |
| 2022 | ICLR | Zero-Shot Self-Supervised Learning for MRI Reconstruction. | Burhaneddin Yaman, Seyed Amir Hossein Hosseini, 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 |
| 2020 | MICCAI | Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer. | Patrick J. Bolan, Francesca Branzoli, Anna Luisa Di Stefano, Lucia Nichelli, Romain Valabrgue, Sara L. Saunders, Mehmet Akakaya, Marc Sanson, Stphane Lehricy, Malgorzata Marjanska |
| 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 |
| 2019 | ICASSP | Regular Sampling of Tensor Signals: Theory and Application to FMRI. | Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos, Mehmet Akakaya, Xiao Fu |
| 2018 | ACSSC | Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks. | Chi Zhang, Steen Moeller, Sebastian Weingrtner, Kmil Ugurbil, Mehmet Akakaya |
| 2018 | ICASSP | Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks. | Liang Zhang, Georgios Vasileios Karanikolas, Mehmet Akakaya, Georgios B. Giannakis |
| 2018 | IJCNN | Subject-Specific Convolutional Neural Networks for Accelerated Magnetic Resonance Imaging. | Mehmet Akakaya, Steen Moeller, Sebastian Weingrtner, Kmil Ugurbil |
| 2017 | ICASSP | SPARTA: Sparse phase retrieval via Truncated Amplitude flow. | Gang Wang, Georgios B. Giannakis, Jie Chen, Mehmet Akakaya |
| 2013 | ISIT | Distortion-based achievability conditions for joint estimation of sparse signals and measurement parameters from undersampled acquisitions. | Mehmet Akakaya, Vahid Tarokh |
| 2010 | ICASSP | Low density frames for compressive sensing. | Mehmet Akakaya, Jinsoo Park, Vahid Tarokh |
| 2008 | CISS | Noisy compressive sampling limits in linear and sublinear regimes. | Mehmet Akakaya, Vahid Tarokh |
| 2007 | CISS | Performance Study of Various Sparse Representation Methods Using Redundant Frames. | Mehmet Akakaya, Vahid Tarokh |
| 2007 | ISIT | On Sparsity, Redundancy and Quality of Frame Representations. | Mehmet Akakaya, Vahid Tarokh |