| Adaptive diffusion priors for accelerated MRI reconstruction A Güngör, SUH Dar, Ş Öztürk, Y Korkmaz, HA Bedel, G Elmas, M Ozbey, ... Medical Image Analysis 88, 102872, 2023 | 87 | 2023 |
| Federated learning of generative image priors for MRI reconstruction G Elmas, SUH Dar, Y Korkmaz, E Ceyani, B Susam, M Ozbey, ... IEEE Transactions on Medical Imaging, 2022 | 65 | 2022 |
| One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis O Dalmaz, MU Mirza, G Elmas, M Ozbey, SUH Dar, E Ceyani, KK Oguz, ... Medical Image Analysis, 103121, 2024 | 23 | 2024 |
| A specificity-preserving generative model for federated mri translation O Dalmaz, U Mirza, G Elmas, M Özbey, SUH Dar, T Çukur International Workshop on Distributed, Collaborative, and Federated Learning …, 2022 | 6 | 2022 |
| Learning Fourier-constrained diffusion bridges for MRI reconstruction MU Mirza, O Dalmaz, HA Bedel, G Elmas, Y Korkmaz, A Gungor, SUH Dar, ... arXiv preprint arXiv:2308.01096, 2023 | 3 | 2023 |
| Denoising Diffusion Adversarial Models for Unconditional Medical Image Generation O Dalmaz, B Saglam, G Elmas, M Mirza, T Çukur 2023 31st Signal Processing and Communications Applications Conference (SIU …, 2023 | | 2023 |
| Federated MRI reconstruction with deep generative models G Elmas bilkent university, 2023 | | 2023 |
| pFLSynth: Personalized Federated Learning of Image Synthesis in Multi-Contrast MRI O Dalmaz, U Mirza, G Elmas, M Özbey, SUH Dar, E Ceyani, S Avestimehr, ... | | |
