Discovering High-Dimensional Biomarkers Using Statistical Shape Analysis

Discovering High-Dimensional Biomarkers Using Statistical Shape Analysis | SlicerSALT Webinar Unlock the power of shape analysis in biomedical research! In this free webinar, learn how to extract meaningful insights from complex biological data using SlicerSALT, an open-source toolkit designed for advanced morphometric analysis. Explore modeling, statistical methods, and visualization techniques that reveal subtle structural changes not captured by traditional metrics like volume. Speakers: Beatriz Paniagua, Jared Vicory In this webinar, you’ll discover how to: - Introduce attendees to morphometric analysis and cover a few basic geometric concepts as compared with traditional metrics (e.g., volume). - Introduce SlicerSALT methodologies, including algorithms for modeling, analyzing, and visualizing high-dimensional data. - Demonstrate the capabilities of SlicerSALT using several widely available datasets. - Explore modeling for objects of non-spherical topology, skeletal models, 4D models, and study-specific optimal model correspondence as well as advanced shape statistics methodologies. Why watch: - Learn to locate critical morphological changes in structures due to growth, pathology, or treatment. - Understand how shape analysis complements traditional measurements like volume. - Gain hands-on knowledge to independently perform advanced shape analysis using SlicerSALT. Resources & Links: - Explore SlicerSALT: https://www.kitware.com/?s=SlicerSALT - Contact our team for personalized guidance or project inquiries: https://www.kitware.com/contact/ - Subscribe for more tutorials and webinars! #ShapeAnalysis #Morphometrics #BiomedicalResearch #SlicerSALT #OpenSource #HighDimensionalData #Biomarkers #MedicalImaging