4 papers
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
Lin Teng, Zihao Zhao, Jiawei Huang +4
Automatic and accurate segmentation of brain MR images throughout the human lifespan into tissue and structure is crucial for understanding brain development and diagnosing disease…
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…
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
Jingyang Zhang, Peng Xue, Ran Gu +7
In clinical practice, a segmentation network is often required to continually learn on a sequential data stream from multiple sites rather than a consolidated set, due to the stora…