| 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 Distributed, Collaborative, and Federated Learning, and Affordable AI and …, 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 |
| Skip connections for medical image synthesis with generative adversarial networks MU Mirza, O Dalmaz, T Çukur 2022 30th Signal Processing and Communications Applications Conference (SIU …, 2022 | 1 | 2022 |
| 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 |
| Super-Resolution Diffusion Model for Accelerated MRI Reconstruction MU Mirza, T Çukur 2023 31st Signal Processing and Communications Applications Conference (SIU …, 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, ... | | |
