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Found 4 papers, 2 papers with code
Stroke Lesion Segmentation using Multi-Stage Cross-Scale Attention
While such characterization provides some clinical value, to develop a precise mechanistic understanding of the impact of lesions on post-stroke vascular contributions to cognitive impairments and dementia (VCID), the stroke lesions need to be fully segmented with accurate boundaries.
Segmenting Small Stroke Lesions with Novel Labeling Strategies
Deep neural networks have demonstrated exceptional efficacy in stroke lesion segmentation.
Topological Embedding of Human Brain Networks with Applications to Dynamics of Temporal Lobe Epilepsy
We introduce a novel, data-driven topological data analysis (TDA) approach for embedding brain networks into a lower-dimensional space in quantifying the dynamics of temporal lobe epilepsy (TLE) obtained from resting-state functional magnetic resonance imaging (rs-fMRI).
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer
Motivated by developments in modality transfer in vision, we study the generation of certain types of PET images from MRI data.
