661 citations · 683 across the 5 of their papers we have counts for
5 papers
Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation
Sadhana Ravikumar, Ranjit Ittyerah, Sydney Lim +29
When developing tools for automated cortical segmentation, the ability to produce topologically correct segmentations is important in order to compute geometrically valid morphomet…
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…
Efficient Coding in the Economics of Human Brain Connectomics
Dale Zhou, Christopher W. Lynn, Zaixu Cui +9
In systems neuroscience, most models posit that brain regions communicate information under constraints of efficiency. Yet, evidence for efficient communication in structural brain…
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.…
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…