Mahmut Yurt
Title
Cited by
Cited by
Year
Image synthesis in multi-contrast MRI with conditional generative adversarial networks
SUH Dar, M Yurt, L Karacan, A Erdem, E Erdem, T Çukur
IEEE transactions on medical imaging 38 (10), 2375-2388, 2019
1382019
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
152021
Synergistic reconstruction and synthesis via generative adversarial networks for accelerated multi-contrast MRI
SUH Dar, M Yurt, M Shahdloo, ME Ildız, T Çukur
arXiv preprint arXiv:1805.10704, 2018
142018
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
132020
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
M Yurt, M Özbey, SUH Dar, B Tınaz, KK Oğuz, T Çukur
arXiv preprint arXiv:2011.13913, 2020
12020
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
2021
Semi-Supervised Learning of MR Image Synthesis without Fully-Sampled Ground-Truth Acquisitions
M Yurt, B Tinaz, SUH Dar, M Özbey, T Çukur
NeurIPS Medical Imaging Meets, 2020
2020
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
arXiv preprint arXiv:2011.14347, 2020
2020
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
2020
Çoklu Kontrast MRG’de Çoklu Süper Çözünürlügü Multi-Image Super Resolution in Multi-Contrast MRI
M Yurt, T Çukur
ISSUE ON DOMAIN ENRICHED LEARNING FOR MEDICAL IMAGING
V Monga, ST Acton, A Munoz-Barrutia, AK Seghouane, JC Ye, SUH Dar, ...
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