Selected Works

1. Accelerated Romer-EPTI using physics-driven, joint x-q attention-network regularized reconstruction for fast mesoscale diffusion MRI
   • Authors: Kaibo Tang, Zijing Dong, Lawrence L. Wald, Fuyixue Wang
     • Published in: Proceedings of the 33rd Annual Meeting of ISMRM
     • Paper link: :)
     • Power pitch video link: :)
     • Digital poster video link: :)
     • Citation:
       • AMA: :)
2. Cycle-Consistent Learning for Fetal Cortical Surface Reconstruction
   • Authors: Xiuyu Dong, Zhangwang Wu, Laifa Ma, Ya Wang, Kaibo Tang, He Zhang, Weili Lin, Gang Li
   • Published in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
   • Paper link: https://link.springer.com/chapter/10.1007/978-3-031-72104-5_21
   • Description:
     • Model architecture:
     • Comparison to baseline methods:
   • Citation:
     • AMA: Dong X, Wu Z, Ma L, et al. Cycle-Consistent Learning for Fetal Cortical Surface Reconstruction. In: Linguraru MG, Dou Q, Feragen A, et al., eds. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. Springer Nature Switzerland; 2024:212-222. doi:10.1007/978-3-031-72104-5_21
3. Generation of Anatomy-Realistic 4D Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks
   • Authors: Kaibo Tang, Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li
   • Published in: 2024 IEEE International Symposium on Biomedical Imaging (ISBI)
   • Paper link: https://ieeexplore.ieee.org/abstract/document/10635754
   • Poster PDF:
   • Description:
     • Model architecture:
     • Comparison to baseline method:
     • Generated 4D infant brain atlases at selected time points:
   • Citation:
     • AMA: Tang K, Chen L, Wu Z, et al. Generation of Anatomy-Realistic 4D Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks. In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI).; 2024:1-5. doi:10.1109/ISBI56570.2024.10635754