Benjamin Kehlet

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

The glymphatic pathway in neurological disorders

Blood–brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders

Small vessel disease: mechanisms and clinical implications

Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here?

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Single-nanometer iron oxide nanoparticles as tissue-permeable MRI contrast agents

Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

Physics-informed machine learning

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

The FEniCS Project Version 1.5

Interstitial solute transport in 3D reconstructed neuropil occurs by diffusion rather than bulk flow