| Image synthesis in multi-contrast MRI with conditional generative adversarial networks SUH Dar, M Yurt, L Karacan, A Erdem, E Erdem, T Cukur IEEE transactions on medical imaging 38 (10), 2375-2388, 2019 | 448 | 2019 |
| 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 | 162 | 2020 |
| Prior-guided image reconstruction for accelerated multi-contrast MRI via generative adversarial networks SUH Dar, M Yurt, M Shahdloo, ME Ildız, B Tınaz, T Cukur IEEE Journal of Selected Topics in Signal Processing 14 (6), 1072-1087, 2020 | 132* | 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 | 125 | 2022 |
| mustGAN: multi-stream generative adversarial networks for MR image synthesis M Yurt, SUH Dar, A Erdem, E Erdem, KK Oguz, T Çukur Medical image analysis 70, 101944, 2021 | 110 | 2021 |
| 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 | 74 | 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, 102872, 2023 | 51 | 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 | 50 | 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 | 30* | 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 41 (12), 3895-3906, 2022 | 27* | 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 | 23 | 2021 |
| One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis O Dalmaz, U Mirza, G Elmas, M Özbey, SUH Dar, E Ceyani, S Avestimehr, ... arXiv preprint arXiv:2207.06509, 2022 | 18 | 2022 |
| BolT: Fused window transformers for fMRI time series analysis HA Bedel, I Sivgin, O Dalmaz, SUH Dar, T Çukur Medical Image Analysis 88, 102841, 2023 | 16 | 2023 |
| Spatially informed voxelwise modeling for naturalistic fMRI experiments E Çelik, SUH Dar, Ö Yılmaz, Ü Keleş, T Çukur NeuroImage 186, 741-757, 2019 | 13 | 2019 |
| A few-shot learning approach for accelerated MRI via fusion of data-driven and subject-driven priors SUH Dar, M Yurt, T Çukur arXiv preprint arXiv:2103.07790, 2021 | 11 | 2021 |
| Factorized sensitivity estimation for artifact suppression in phase‐cycled bSSFP MRI E Bıyık, K Keskin, S UH Dar, A Koç, T Çukur NMR in Biomedicine 33 (4), e4228, 2020 | 8 | 2020 |
| Transfer learning for reconstruction of accelerated MRI acquisitions via neural networks SUH Dar, T Çukur Proceedings of the 26th Scientific Meeting of ISMRM, 2018 | 8 | 2018 |
| Image synthesis in multi-contrast MRI with conditional generative adversarial networks SU Hassan Dar, M Yurt, L Karacan, A Erdem, E Erdem, T Çukur arXiv e-prints, arXiv: 1802.01221, 2018 | 7 | 2018 |
| 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 |
| 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 | 5* | 2023 |
Tolga CukurProfessor of Electrical EngineeringVerified email at ee.bilkent.edu.tr
