5 papers
Decoding Phenotypes: A Framework for Fusing Genomic Language Models and Neuroimaging
Tianli Tao, Ziyang Wang, Emma Robinson +2
Neuroimaging and genetic testing are two important clinical references for nervous system diseases, offering complementary diagnostic information. However, integrating genomic and…
Trustworthy Longitudinal Brain MRI Completion: A Deformation-Based Approach with KAN-Enhanced Diffusion Model
Tianli Tao, Ziyang Wang, Delong Yang +2
Longitudinal brain MRI is essential for lifespan study, yet high attrition rates often lead to missing data, complicating analysis. Deep generative models have been explored, but m…
DiffKAN-Inpainting: KAN-based Diffusion model for brain tumor inpainting
Tianli Tao, Ziyang Wang, Han Zhang +2
Brain tumors delay the standard preprocessing workflow for further examination. Brain inpainting offers a viable, although difficult, solution for tumor tissue processing, which is…
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion
Zihao Zhu, Tianli Tao, Yitian Tao +10
The infant brain undergoes rapid development in the first few years after birth.Compared to cross-sectional studies, longitudinal studies can depict the trajectories of infants bra…
Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion
Lianghu Guo, Tianli Tao, Xinyi Cai +11
Early infancy is a rapid and dynamic neurodevelopmental period for behavior and neurocognition. Longitudinal magnetic resonance imaging (MRI) is an effective tool to investigate su…