Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease

no code implementations • 23 Jan 2020 • Kilian Hett, Hans Johnson, Pierrick Coupé, Jane Paulsen, Jeffrey Long, Ipek Oguz

In this work, we propose to combine the advantages of these two approaches by extending the patch-based grading framework with a new tensor-based grading method that enables us to model patterns of local deformation using a log-Euclidean metric.

General Classification

Multi-scale Graph-based Grading for Alzheimer's Disease Prediction

no code implementations • 15 Jul 2019 • Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé

Based on a cascade of classifiers, this multiscale approach enables the analysis of alterations of whole brain structures and hippocampus subfields at the same time.

Disease Prediction Hippocampus

Graph of brain structures grading for early detection of Alzheimer's disease

no code implementations • 6 Jul 2018 • Kilian Hett, Vinh-Thong Ta, Jose Vicente Manjon, Pierrick Coupé

Alzheimer's disease is the most common dementia leading to an irreversible neurodegenerative process.