Introduction
Collection of papers about GANs for Brain Image Synthesis from top journal (TMI, MIA) and top conference (MICCAI, CVPR).
GANs-for-Brain
2019
Journal
- Dar, Salman UH, et al. "Image synthesis in multi-contrast MRI with conditional generative adversarial networks." IEEE transactions on medical imaging (2019). TMI [PDF]
- Yu, Biting, et al. "Ea-GANs: Edge-aware Generative Adversarial Networks for Cross-modality MR Image Synthesis." IEEE transactions on medical imaging (2019). TMI [PDF]
Conference
- Lee, Dongwook, et al. "CollaGAN: Collaborative GAN for missing image data imputation." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019. CVPR2019 [PDF]
2018
Journal
- Wang, Yan, et al. "3D auto-context-based locality adaptive multi-modality GANs for PET synthesis." IEEE transactions on medical imaging 38.6 (2018): 1328-1339. TMI [PDF]
Conference
- Cohen, Joseph Paul, Margaux Luck, and Sina Honari. "Distribution matching losses can hallucinate features in medical image translation." International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2018. MICCAI2018 [PDF]
- Pan, Yongsheng, et al. "Synthesizing missing PET from MRI with cycle-consistent generative adversarial networks for Alzheimer’s disease diagnosis." International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2018. MICCAI2018 [PDF]
- Han, Changhee, et al. "GAN-based synthetic brain MR image generation." 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). IEEE, 2018. ISBI2018 [PDF]
- Yu, Biting, et al. "3D cGAN based cross-modality MR image synthesis for brain tumor segmentation." 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). IEEE, 2018. ISBI2018 [PDF]
- Cai, Lei, et al. "Deep adversarial learning for multi-modality missing data completion." Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM, 2018. KDD2018 [PDF]