3 papers
cs.CV2026
TimeLesSeg: Unified Contrast-Agnostic Cross-Sectional and Longitudinal MS Lesion Segmentation via a Stochastic Generative Model
Vicent Caselles-Ballester, Eloy MartÃnez-Heras, Giuseppe Pontillo +9
Multiple sclerosis (MS) expresses substantial clinical and radiological heterogeneity, which poses significant challenges for automatic lesion segmentation. The current deep learni…
cs.AI2025
LLM enhanced graph inference for long-term disease progression modelling
Tiantian He, An Zhao, Elinor Thompson +4
Understanding the interactions between biomarkers among brain regions during neurodegenerative disease is essential for unravelling the mechanisms underlying disease progression. F…
cs.LG2025
A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling
Tiantian He, Keyue Jiang, An Zhao +5
The long-term progression of neurodegenerative diseases is commonly conceptualized as a spatiotemporal diffusion process that consists of a graph diffusion process across the struc…