| A Transfer‐Learning Approach for Accelerated MRI Using Deep Neural Networks SUH Dar, M Özbey, AB Çatlı, T Çukur Magnetic Resonance in Medicine 84 (2), 663-685, 2020 | 173 | 2020 |
| Unsupervised MRI reconstruction via zero-shot learned adversarial transformers Y Korkmaz, SUH Dar, M Yurt, M Özbey, T Cukur IEEE Transactions on Medical Imaging 41 (7), 1747-1763, 2022 | 151 | 2022 |
| Unsupervised medical image translation with adversarial diffusion models M Özbey, O Dalmaz, SUH Dar, HA Bedel, Ş Özturk, A Güngör, T Çukur IEEE Transactions on Medical Imaging, 2023 | 136 | 2023 |
| 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 |
| Semi-Supervised Learning of MRI Synthesis without Fully-Sampled Ground Truths M Yurt, O Dalmaz, S Dar, M Ozbey, B Tınaz, K Oguz, T Çukur IEEE Transactions on Medical Imaging, 2022 | 35* | 2022 |
| Progressively volumetrized deep generative models for data-efficient contextual learning of MR image recovery M Yurt, M Özbey, SUH Dar, B Tinaz, KK Oguz, T Çukur Medical Image Analysis 78, 102429, 2022 | 34 | 2022 |
| Deep MRI reconstruction with generative vision transformers Y Korkmaz, M Yurt, SUH Dar, M Özbey, T Cukur Machine Learning for Medical Image Reconstruction: 4th International …, 2021 | 31 | 2021 |
| 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 |
| Three Dimensional MR Image Synthesis with Progressive Generative Adversarial Networks M Özbey, M Yurt, SUH Dar, T Çukur IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020), 2020 | 7 | 2020 |
| MRI reconstruction with conditional adversarial transformers Y Korkmaz, M Özbey, T Cukur International Workshop on Machine Learning for Medical Image Reconstruction …, 2022 | 6 | 2022 |
| 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 Deep MRI Reconstruction Models from Scratch in Low-Data Regimes SUH Dar, Ş Öztürk, M Özbey, T Çukur arXiv preprint arXiv:2301.02613, 2023 | 5 | 2023 |
| T. Ç ukur,“Unsupervised MRI reconstruction via zero-shot learned adversarial transformers,” Y Korkmaz, SU Dar, M Yurt, M Ozbey arXiv preprint arXiv:2105.08059, 2021 | 5 | 2021 |
| T1-Weighted Contrast-Enhanced Synthesis for Multi-Contrast MRI Segmentation M Özbey, T Çukur 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | 5 | 2020 |
| Multi-Image Reconstruction in Multi-Contrast MRI M Özbey, T Çukur 2021 29th Signal Processing and Communications Applications Conference (SIU …, 2021 | 4 | 2021 |
| Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context R Deshpande, M Özbey, H Li, MA Anastasio, FJ Brooks arXiv preprint arXiv:2309.10817, 2023 | 2 | 2023 |
| Parallel-stream fusion of scan-specific and scan-general priors for learning deep MRI reconstruction in low-data regimes SUH Dar, Ş Öztürk, M Özbey, KK Oguz, T Çukur Computers in Biology and Medicine 167, 107610, 2023 | 1 | 2023 |
| Zero-shot learning for unsupervised reconstruction of accelerated MRI acquisitions Y Korkmaz, SU Dar, M Yurt, M Ozbey, T Çukur Proc. ISMRM, 1965, 2021 | 1 | 2021 |
| A semi-supervised learning framework for jointly accelerated multi-contrast MRI synthesis without fully-sampled ground-truths M Yurt, SUH Dar, B Tinaz, M Ozbey, Y Korkmaz, T Çukur 29th annual meeting of International Society for Magnetic Resonance Imaging …, 2021 | 1 | 2021 |
Tolga CukurProfessor of Electrical EngineeringDirección de correo verificada de ee.bilkent.edu.tr
