| 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 | 163 | 2020 |
| Humus-net: Hybrid unrolled multi-scale network architecture for accelerated mri reconstruction Z Fabian, B Tinaz, M Soltanolkotabi Advances in Neural Information Processing Systems 35, 25306-25319, 2022 | 56 | 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 | 42 | 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 | 31 | 2022 |
| 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 | 18 | 2020 |
| Diracdiffusion: Denoising and incremental reconstruction with assured data-consistency Z Fabian, B Tinaz, M Soltanolkotabi Proceedings of machine learning research 235, 12754, 2024 | 10 | 2024 |
| Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models Z Fabian*, B Tinaz*, M Soltanolkotabi arXiv preprint arXiv:2309.06642, 2023 | 1 | 2023 |
| 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 |
| Semi-Supervised Learning of MR Image Synthesis without Fully-Sampled Ground-Truth Acquisitions M Yurt, B Tinaz, SUH Dar, M Ozbey, T Cukur NeurIPS Medical Imaging Meets, 2020 | | 2020 |
| Progressive Volumetrization for Data-Efficient Image Recovery in Accelerated Multi-Contrast MRI M Yurt, M Ozbey, SUH Dar, B Tinaz, KK Oğuz, T Çukur | | |
| ISSUE ON DOMAIN ENRICHED LEARNING FOR MEDICAL IMAGING V Monga, ST Acton, A Munoz-Barrutia, AK Seghouane, JC Ye, SUH Dar, ... | | |
Mahmut YurtPhD Student, Stanford University確認したメール アドレス: stanford.edu