Fitting Skeletal Models via Graph-based Learning

no code implementations • 9 Sep 2024 • Nicolás Gaggion, Enzo Ferrante, Beatriz Paniagua, Jared Vicory

Skeletonization is a popular shape analysis technique that models an object's interior as opposed to just its boundary.

Hippocampus

Interior Object Geometry via Fitted Frames

no code implementations • 19 Jul 2024 • Stephen M. Pizer, Zhiyuan Liu, Junjie Zhao, Nicholas Tapp-Hughes, James Damon, Miaomiao Zhang, JS Marron, Jared Vicory

We describe a representation targeted for anatomic objects which is designed to enable strong locational correspondence within object populations and thus to provide powerful object statistics.

Object

ORMIR_XCT: A Python package for high resolution peripheral quantitative computed tomography image processing

no code implementations • 8 Sep 2023 • Michael T. Kuczynski, Nathan J. Neeteson, Kathryn S. Stok, Andrew J. Burghardt, Michelle A. Espinosa Hernandez, Jared Vicory, Justin J. Tse, Pholpat Durongbhan, Serena Bonaretti, Andy Kin On Wong, Steven K. Boyd, Sarah L. Manske

High resolution peripheral quantitative computed tomography (HR-pQCT) is an imaging technique capable of imaging trabecular bone in-vivo.

Skeletal Point Representations with Geometric Deep Learning

1 code implementation • 3 Mar 2023 • Ninad Khargonkar, Beatriz Paniagua, Jared Vicory

Skeletonization has been a popular shape analysis technique that models both the interior and exterior of an object.