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Found 3 papers, 1 papers with code
Glioma Classification Using Multimodal Radiology and Histology Data
The classification algorithm initially carries out tile-level (for histology) and slice-level (for radiology) classification via a deep learning method, then tile/slice-level latent features are combined for a whole-slide and whole-volume sub-type prediction.
Q-space quantitative diffusion MRI measures using a stretched-exponential representation
Diffusion magnetic resonance imaging (dMRI) is a relatively modern technique used to study tissue microstructure in a non-invasive way.
Fitting IVIM with Variable Projection and Simplicial Optimization
Fitting multi-exponential models to Diffusion MRI (dMRI) data has always been challenging due to various underlying complexities.
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