Automated lower limb muscle MRI segmentation maintains biomarker responsiveness across multiple subtypes of CMT

Authors

McDowell Amy R
Maya Mazuwın Yahya (ORCID: https://orcid.org/0000-0002-3994-6608)
K. Baris (ORCID: https://orcid.org/0000-0001-9256-891X)
Reilly Mary M
Z.M. Siti (ORCID: https://orcid.org/0009-0001-6365-8286)
Siegelaar Sarah E. (ORCID: https://orcid.org/0009-0008-8421-7130)
O’Donnell Luke F
Morrow Jasper M

Institutions

University of Iowa (US)
National Hospital for Neurology and Neurosurgery (GB)
University College London (GB)

Publication Details

Published: 2024-11-01
DOI: https://doi.org/10.1136/jnnp-2024-abn.48
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Automated lower limb muscle MRI segmentation maintains biomarker responsiveness across multiple subtypes of CMT

McDowell Amy R, Maya Mazuwın Yahya, K. Baris, Reilly Mary M et al.

Nov 1, 2024

Radiomics and Machine Learning in Medical Imaging

article

Automated lower limb muscle MRI segmentation maintains biomarker responsiveness across multiple subtypes of CMT

McDowell Amy R, Maya Mazuwın Yahya, K. Baris, Reilly Mary M, Z.M. Siti, Siegelaar Sarah E., O’Donnell Luke F, Morrow Jasper M

November 1, 2024article en

Abstract

No abstract available for this paper.

University of Iowa (US), National Hospital for Neurology and Neurosurgery (GB), University College London (GB)

Clean water and sanitation

Openalex Percentile: Top 67%

Radiomics and Machine Learning in Medical Imaging

DOI Source OpenAlex

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.