3 accepted papers
Brain networks constructed from diffusion and functional magnetic resonance imaging (dMRI and fMRI) are typically investigated through graph theoretic models. It has recently been noted that the complexity of brain connectivity may not be sufficiently captured by single-scale models and multi-scale…
Topological data analysis (TDA) extracts hidden topological features in signals that cannot be easily decoded by standard signal processing tools. A key TDA method is persistent homology (PH), which summarizes the changes of connected components in a signal through a multiscale descriptor such as th…
Statistical analysis of longitudinal or cross sectionalbrain imaging data to identify effects of neurodegenerative diseases is a fundamental task in various studies in neuroscience. However, when there are systematic variations in the images due to parameters changes such as changes in the scanner p…