| 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 | 269 | 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 | 102 | 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 Çukur IEEE Journal of Selected Topics in Signal Processing 14 (6), 1072-1087, 2020 | 81* | 2020 |
| 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 | 57 | 2021 |
| Unsupervised MRI reconstruction via zero-shot learned adversarial transformers Y Korkmaz, SUH Dar, M Yurt, M Özbey, T Cukur IEEE Transactions on Medical Imaging, 2022 | 30 | 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 | 13* | 2022 |
| Spatially informed voxelwise modeling for naturalistic fMRI experiments E Çelik, SUH Dar, Ö Yılmaz, Ü Keleş, T Çukur NeuroImage 186, 741-757, 2019 | 9 | 2019 |
| Deep MRI reconstruction with generative vision transformers Y Korkmaz, M Yurt, SUH Dar, M Özbey, T Cukur International Workshop on Machine Learning for Medical Image Reconstruction …, 2021 | 7 | 2021 |
| Semi-supervised learning of mutually accelerated multi-contrast MRI synthesis without fully-sampled ground-truths M Yurt, SUH Dar, B Tınaz, M Özbey, T Çukur | 7 | 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 | 6 | 2018 |
| Semi-supervised learning of mutually accelerated MRI synthesis without fully-sampled ground truths M Yurt, SUH Dar, M Özbey, B Tınaz, KK Oğuz, T Çukur arXiv preprint arXiv:2011.14347, 2020 | 5 | 2020 |
| 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 | 5 | 2018 |
| 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 | 4 | 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 | 3 | 2020 |
| Federated Learning of Generative Image Priors for MRI Reconstruction G Elmas, SUH Dar, Y Korkmaz, E Ceyani, B Susam, M Özbey, ... arXiv preprint arXiv:2202.04175, 2022 | 1 | 2022 |
| Deep learning algorithm for sacroiliac joint evaluation: Grading with radiographs S Türk, T Cukur, C HEPDURGUN, S Dar, AK Karabulut, I TAMSEL, ... European Congress of Radiology-ECR 2020, 2020 | 1 | 2020 |
| A multi-stream GAN approach for multi-contrast MRI synthesis M Yurt, SUH Dar, A Erdem, E Erdem, T Çukur 28th annual meeting of International Society for Magnetic Resonance Imaging …, 2020 | 1 | 2020 |
| Joint recovery of variably accelerated multi-contrast MRI acquisitions via generative adversarial networks SUH Dar, M Yurt, M Shahdloo, ME Ildız, T Çukur ISMRM 27th Annual Meeting, 2019 | 1 | 2019 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis HA Bedel, I Şıvgın, O Dalmaz, SUH Dar, T Çukur arXiv preprint arXiv:2205.11578, 2022 | | 2022 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis H Atakan Bedel, I Şıvgın, O Dalmaz, SU Hassan Dar, T Çukur arXiv e-prints, arXiv: 2205.11578, 2022 | | 2022 |
Tolga CukurProfessor of Electrical EngineeringVerified email at ee.bilkent.edu.tr
