Related Experiment Video
Updated: Mar 19, 2026

Automated Joint Space Detection Improves Bone Segmentation Accuracy
Published on: November 28, 2025
Mixed scale joint graphical lasso
Eugen Pircalabelu1, Gerda Claeskens1, Lourens J Waldorp2
1KU Leuven, ORSTAT and Leuven Statistics Research Center, Naamsestraat 69, 3000 Leuven, Belgium, gerda.claeskens@kuleuven.be.
Abstract:
We have developed a method for estimating brain networks from fMRI datasets that have not all been measured using the same set of brain regions. Some of the coarse scale regions have been split in smaller subregions. The proposed penalized estimation procedure selects undirected graphical models with similar structures that combine information from several subjects and several coarseness scales. Both within-scale edges and between-scale edges that identify possible connections between a large region and its subregions are estimated.
Related Concept Videos
Structural Classification of Joints
A fibrous joint is where the adjacent bones are united by fibrous connective...
Vector Algebra: Graphical Method
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
Multiple Bar Graph
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
Scaling
Velocity and Position by Graphical Method
Method of Joints: Problem Solving II

