3 papers
q-bio.NC2022
Compression supports low-dimensional representations of behavior across neural circuits
Dale Zhou, Jason Z. Kim, Adam R. Pines +7
Dimensionality reduction, a form of compression, can simplify representations of information to increase efficiency and reveal general patterns. Yet, this simplification also forfe…
eess.IV2019
Estimating regional cerebral blood flow using resting-state functional MRI via machine learning
Ganesh B Chand, Mohamad Habes, Sudipto Dolui +3
Perfusion MRI is an important modality in many brain imaging protocols, since it probes cerebrovascular changes in aging and many diseases; however, it may not be always available.…
cs.LG2019
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Georgios Kissas, Yibo Yang, Eileen Hwuang +3
Advances in computational science offer a principled pipeline for predictive modeling of cardiovascular flows and aspire to provide a valuable tool for monitoring, diagnostics and…