Assessing the Precision of Automated Detection and Diameter Estimation of Cerebral Arteries in the Circle of Willis (P9-13.007)

To compare artery diameter estimations from Express IntraCranial Arteries Breakdown (eICAB) against manual measurements to minimize human error and variability, thereby providing a consistent and reliable tool for clinical and research applications.

Authors

Institutions

Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000210491
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Precision of Automated Detection and Diameter Estimation of Cerebral Arteries in the Circle of Willis (P9-13.007)

Davy Vanderweyen, Tatjana Rundek, Maxime Descoteaux, Julia Huck et al.
Neurology
Medical Image Segmentation Techniques
article

Assessing the Precision of Automated Detection and Diameter Estimation of Cerebral Arteries in the Circle of Willis (P9-13.007)

Davy Vanderweyen, Tatjana Rundek, Maxime Descoteaux, Julia Huck, Kevin Whittingstall, José Gutierrez, Mitchell S Elkind
article en

Abstract

To compare artery diameter estimations from Express IntraCranial Arteries Breakdown (eICAB) against manual measurements to minimize human error and variability, thereby providing a consistent and reliable tool for clinical and research applications.

NeurologyVol. 104(7_Supplement_1)
Université de Sherbrooke (CA), University of Miami (US), Columbia University (US)
Good health and well-being
Openalex Percentile: Top 95%
Medical Image Segmentation Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.