Ciprian M. Crainiceanu

Professor Crainiceanu obtained his PhD in Statistics from Cornell University in 2003 and has been at Johns Hopkins Bloomberg School of Public Health ever since. He is one of the co-founders and leaders of the Statistical Methods and Applications for Research in Technology (SMART, http://www.smart-stats.org) research group. He conducts research in clinical brain imaging including MRI in multiple Sclerosis and CT in stroke as well as in wearable computing including accelerometers, heart rate monitors, and GPS.

Apr 22nd 2024

Course Auditing

Coursera

Johns Hopkins University

Categories

Statistics & Data Analysis

Effort

Languages

Neurohacking describes how to use the R programming language and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization. [...]

Neuroscience and Neuroimaging Specialization