Additional file 1 of Radiomics performance to identify high-risk carotid artery plaques: a systematic review

Authors

François Rheault (ORCID: https://orcid.org/0000-0002-0097-8004)
Ann‐Marie Beaudoin (ORCID: https://orcid.org/0000-0003-4129-9494)
Jessica D'Lima (ORCID: https://orcid.org/0000-0002-7281-3620)

Institutions

Université de Sherbrooke (CA)
The University of Melbourne (AU)

Publication Details

Journal: Figshare
Published: 2026-11-03
DOI: https://doi.org/10.6084/m9.figshare.34908554
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 0.00

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article

Additional file 1 of Radiomics performance to identify high-risk carotid artery plaques: a systematic review

François Rheault, Ann‐Marie Beaudoin, Jessica D'Lima

Nov 3, 2026

Figshare

Radiomics and Machine Learning in Medical Imaging

article

Additional file 1 of Radiomics performance to identify high-risk carotid artery plaques: a systematic review

François Rheault, Ann‐Marie Beaudoin, Jessica D'Lima

November 3, 2026article en

Abstract

No abstract available for this paper.

Figshare

Université de Sherbrooke (CA), The University of Melbourne (AU)

Openalex Percentile: Top 14%

Radiomics and Machine Learning in Medical Imaging

DOI Open Access PDF OpenAlex

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Additional file 1 of Radiomics performance to identify high-risk carotid artery plaques: a systematic review — François Rheault, Ann‐Marie Beaudoin, et al. · Figshare (2026) | TGRS Research Map | TGRS