A radiomics approach to distinguish Progressive Supranuclear Palsy Richardson's syndrome from other phenotypes starting from MR images

Based on the achieved results, our proposed approach could represent a promising tool for distinguishing PSP-RS from vPSP.

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Institutions

Publication Details

Journal
Computer Methods and Programs in Biomedicine
Published
2025-04-14
DOI
https://doi.org/10.1016/j.cmpb.2025.108778
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72

Funders

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article

A radiomics approach to distinguish Progressive Supranuclear Palsy Richardson's syndrome from other phenotypes starting from MR images

Marina Picillo, Carlo Ricciardi, Paolo Barone, Filomena Abate et al.
2 citations
Computer Methods and Programs in Biomedicine
Radiomics and Machine Learning in Medical Imaging
2.72
article

A radiomics approach to distinguish Progressive Supranuclear Palsy Richardson's syndrome from other phenotypes starting from MR images

Marina Picillo, Carlo Ricciardi, Paolo Barone, Filomena Abate, Noemi Pisani, Mario Cesarelli, Francesco Amato, Anna Rosa Avallone
article en
2 citations

Abstract

Based on the achieved results, our proposed approach could represent a promising tool for distinguishing PSP-RS from vPSP.

Computer Methods and Programs in BiomedicineVol. 266
University of Salerno (IT), University of Sannio (IT), Federico II University Hospital (IT), University of Naples Federico II (IT)
Ministero della Salute
Openalex Percentile: Top 11%
Radiomics and Machine Learning in Medical Imaging
2.72
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