Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge

EE Bron, M Smits, WM Van Der Flier, H Vrenken… - NeuroImage, 2015 - Elsevier
Algorithms for computer-aided diagnosis of dementia based on structural MRI have
demonstrated high performance in the literature, but are difficult to compare as different data …

A landmark-free morphometrics pipeline for high-resolution phenotyping: application to a mouse model of Down syndrome

N Toussaint, Y Redhead, M Vidal-García… - …, 2021 - journals.biologists.com
Characterising phenotypes often requires quantification of anatomical shape. Quantitative
shape comparison (morphometrics) traditionally uses manually located landmarks and is …

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications

A Goparaju, K Iyer, A Bône, N Hu, HB Henninger… - Medical image …, 2022 - Elsevier
Statistical shape modeling (SSM) is widely used in biology and medicine as a new
generation of morphometric approaches for the quantitative analysis of anatomical shapes …

[HTML][HTML] Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort

C Cury, S Durrleman, DM Cash, M Lorenzi… - NeuroImage, 2019 - Elsevier
Brain atrophy as measured from structural MR images, is one of the primary imaging
biomarkers used to track neurodegenerative disease progression. In diseases such as …

Spatio-temporal shape analysis of cross-sectional data for detection of early changes in neurodegenerative disease

C Cury, M Lorenzi, D Cash, JM Nicholas… - Spectral and Shape …, 2016 - Springer
The detection of pathological changes in neurodegenerative diseases that occur before
clinical onset would be of great value for identifying suitable subjects and assessing drug …

Application of high-resolution landmark-free morphometrics to a mouse model of Down Syndrome reveals a tightly localised cranial phenotype

N Toussaint, Y Redhead, W Liu, EMC Fisher… - BioRxiv, 2019 - biorxiv.org
Characterising phenotypes often requires quantification of anatomical shapes. Quantitative
shape comparison (morphometrics) traditionally uses anatomical landmarks and is therefore …

Deformetrica: a software for statistical analysis of anatomical shapes

A Routier, M Prastawa, B Charlier… - 21st Annual Meeting …, 2015 - inria.hal.science
We present Deformetrica, which is a C++ software for the statistical analysis of 2D and 3D
shape data. Data can be surface meshes, polygonal lines, labeled points or unstructured …

[PDF][PDF] Dudenko VH

OH Avrunin, MY Tymkovych… - … German Science Herald, 2016 - dwherold.de
The work deals with the contours of anatomical structures, namely, the lateral ventricles of
the brain. We have analyzed the contours of the lateral ventricles at different horizontal …

[PDF][PDF] A list of publications describing new supervised learning pipelines to predict clinical variables from neuroimaging data in Alzheimer's disease

AF Mendelson - 2016 - pfigshare-u-files.s3.amazonaws.com
This document contains a list of 272 journal publications and 198 conference publications
describing new supervised learning pipelines to predict the level of AD pathology in a …

Study of anatomical structures contours in problems of morphometric analysis

OG Avrunin - 2016 - openarchive.nure.ua
Анотація The work deals with the contours of anatomical structures, namely, the lateral
ventricles of the brain. We have analyzed the contours of the lateral ventricles at different …