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Fanny Orlhac

Researcher at Université Paris-Saclay

Publications -  42
Citations -  3983

Fanny Orlhac is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 17, co-authored 34 publications receiving 2251 citations. Previous affiliations of Fanny Orlhac include Centre national de la recherche scientifique & Institut Gustave Roussy.

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Journal ArticleDOI

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Alex Zwanenburg, +70 more
- 01 May 2020 - 
TL;DR: A set of 169 radiomics features was standardized, which enabled verification and calibration of different radiomics software and could be excellently reproduced.
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LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity.

TL;DR: A user-friendly, multi-platform freeware which enables the calculation of conventional, histogram-based, textural, and shape features from PET, SPECT, MR, CT, and US images, or from any combination of imaging modalities called LIFEx is presented.
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Tumor Texture Analysis in 18F-FDG PET: Relationships Between Texture Parameters, Histogram Indices, Standardized Uptake Values, Metabolic Volumes, and Total Lesion Glycolysis

TL;DR: None of the histogram indices and only 17 of 31 texture indices were robust with respect to the tumor-segmentation method, and an appropriate resampling formula with at least 32 gray levels should be used to avoid introducing a misleading relationship between texture indices and SUV.
Journal ArticleDOI

Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics.

TL;DR: Image compensation successfully realigned feature distributions computed from different CT imaging protocols and should facilitate multicenter radiomic studies.
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A Postreconstruction Harmonization Method for Multicenter Radiomic Studies in PET.

TL;DR: The proposed harmonization method, by removing the center effect while preserving patient-specific effects, standardizes features measured from PET images obtained using different imaging protocols and should facilitate the use of radiomic models in clinical practice.