[18F]F-DCFPyL PET/MRI radiomics for intraprostatic prostate cancer detection and metastases prediction using whole-gland segmentation

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Publication Details

Journal
British Journal of Radiology
Published
2025-01-23
DOI
https://doi.org/10.1093/bjr/tqaf014
Citations
4
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
5.44

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article

[18F]F-DCFPyL PET/MRI radiomics for intraprostatic prostate cancer detection and metastases prediction using whole-gland segmentation

Patrick Veit‐Haibach, Satheesh Krishna, Nathan Perlis, Anna Santiago et al.
4 citations
British Journal of Radiology
Radiomics and Machine Learning in Medical Imaging
5.44
article

[18F]F-DCFPyL PET/MRI radiomics for intraprostatic prostate cancer detection and metastases prediction using whole-gland segmentation

Patrick Veit‐Haibach, Satheesh Krishna, Nathan Perlis, Anna Santiago, Sangeet Ghai, Kartik Jhaveri, Theodorus van der Kwast, Adriano Basso Dias, Ur Metser, Claudia Ortega, Seyed Ali Mirshahvalad, Alejandro Berlín, J.-L. Gomez
article en
4 citations

Abstract

No abstract available for this paper.
British Journal of RadiologyVol. 98(1174)
University Health Network (CA), University of Toronto (CA), Women's College Hospital (CA), Princess Margaret Cancer Centre (CA)
Siemens Healthineers
Good health and well-being
Openalex Percentile: Top 5%
Radiomics and Machine Learning in Medical Imaging
5.44
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[18F]F-DCFPyL PET/MRI radiomics for intraprostatic prostate cancer detection and metastases prediction using whole-gland segmentation — Patrick Veit‐Haibach, Satheesh Krishna, et al. · British Journal of Radiology (2025) | TGRS Research Map | TGRS