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Validation d'une méthode d'harmonisation des mesures SUV et des variables radiomiques pour les études TEP multicentriques rétrospectives
Fanny Orlhac
,
Olivier Humbert
,
Sarah Boughdad
,
Maud Lasserre
,
Michael Soussan
,
et al.
2018 - 4èmes Journées Francophones de Médecine Nucléaire, May 2018, Lille, France. pp.170
Conference papers
hal-01736147v1
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Identifying a reliable radiomic signature from scarce data: illustration for 18F-FDOPA PET images in glioblastoma patients
Fanny Orlhac
,
Anne-Capucine Rollet
,
Irène Buvat
,
Jacques Darcourt
,
Véronique Bourg
,
et al.
EANM Annual Meeting - Annual Meeting of the European Association of Nuclear Medicine, Oct 2020, Virtual Meeting, Austria
Conference papers
inserm-02952445v1
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Inter-observer and segmentation method variability of textural analysis in pre-therapeutic FDG PET/CT in head and neck cancer
Catherine Guezennec
,
David Bourhis
,
Fanny Orlhac
,
Philippe Robin
,
Jean-Baptiste Corre
,
et al.
Journal articles
inserm-02236550v1
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Au-delà de la mesure de SUV en imagerie TEP : propriétés et potentiel des paramètres de texture pour caractériser les tumeurs
Fanny Orlhac
Physique Médicale [physics.med-ph]. Université Paris Sud - Paris XI, 2015. Français. ⟨NNT : 2015PA112198⟩
Theses
tel-01390197v1
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Validation of A Method to Compensate Multicenter Effects Affecting CT Radiomics
Fanny Orlhac
,
Frédérique Frouin
,
Christophe Nioche
,
Nicholas Ayache
,
Irène Buvat
Journal articles
hal-02401340v1
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The Dark Side of Radiomics: On the Paramount Importance of Publishing Negative Results
Irène Buvat
,
Fanny Orlhac
Journal articles
hal-02401260v1
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Radiomics in PET imaging: a practical guide for newcomers
Fanny Orlhac
,
Christophe Nioche
,
Ivan Klyuzhin
,
Arman Rahmim
,
Irène Buvat
PET Clinics, 2021, 16 (4), pp.597-612
Journal articles
hal-03320546v1
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A guide to ComBat harmonization of imaging biomarkers in multicenter studies
Fanny Orlhac
,
Jakoba J Eertink
,
Anne-Segolene Cottereau
,
Josee M Zijlstra
,
Catherine Thieblemont
,
et al.
Journal articles
inserm-03441717v1
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Contribution of tissue textural pattern and conventional index to glioma staging in FDopa-PET/CT
Christophe Nioche
,
Fanny Orlhac
,
Marine Soret
,
Eric Gontier
,
Irène Buvat
Journées RITS 2015, Mar 2015, Dourdan, France. p50-51 Section imagerie phénotypique et génotypique
Conference papers
inserm-01145618v1
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Voxel-Wise Supervised Analysis of Tumors with Multimodal Engineered Features to Highlight Interpretable Biological Patterns
Thibault Escobar
,
Sébastien Vauclin
,
Fanny Orlhac
,
Christophe Nioche
,
Pascal Pineau
,
et al.
Journal articles
inserm-03872918v1
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[18F]-FDG PET and MRI radiomic signatures to predict the risk and the location of tumor recurrence after re-irradiation in head and neck cancer
Arnaud Beddok
,
Fanny Orlhac
,
Valentin Calugaru
,
Laurence Champion
,
Catherine Ala Eddine
,
et al.
Journal articles
inserm-03872913v1
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A radiomics pipeline dedicated to Breast MRI: validation on a multi-scanner phantom study
Marie-Judith Saint Martin
,
Fanny Orlhac
,
Pia Akl
,
Fahad Khalid
,
Christophe Nioche
,
et al.
Journal articles
inserm-03029480v1
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Can we trust the calculation of texture indices of CT images? A phantom study
Caroline Caramella
,
Adrien Allorant
,
Fanny Orlhac
,
Francois Bidault
,
Bernard Asselain
,
et al.
Journal articles
hal-03326446v1
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Apport et potentiel de l'Intelligence Artificielle en imagerie médicale pour la cancérologie
Fanny Orlhac
,
Irène Buvat
Médecine et intelligence artificielle, 2022
Book sections
hal-03662317v1
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Thorough scrutinization of radiomic features makes it possible to convert complicated radiomic models into comprehensible parsimonious signatures
Fanny Orlhac
,
Irene Buvat
Society of Nuclear Medicine and Molecular Imaging meeting 2021, 2021, Virtuel, United States
Conference poster
hal-03441854v1
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Can texture indices derived from PET images differentiate tissue types?
Fanny Orlhac
,
Michaël Soussan
,
Irène Buvat
Journées RITS 2015, Mar 2015, Dourdan, France. pp 96-97
Conference papers
inserm-01154778v1
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LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
Christophe Nioche
,
Fanny Orlhac
,
Sarah Boughdad
,
Sylvain Reuzé
,
Jessica Goya-Outi
,
et al.
Journal articles
hal-01938545v1
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Comment on Ibrahim et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers 2021, 13, 1848
Fanny Orlhac
,
Irène Buvat
Journal articles
inserm-03284709v1
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The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Alex Zwanenburg
,
Martin Vallières
,
Mahmoud A. Abdalah
,
Hugo J.W. Aerts
,
Vincent Andrearczyk
,
et al.
Journal articles
inserm-02954737v1
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Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer
Maxime Lacroix
,
Frédérique Frouin
,
Anne-Sophie Dirand
,
Christophe Nioche
,
Fanny Orlhac
,
et al.
Journal articles
hal-02918447v1
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Computation of reliable textural indices from multimodal brain MRI: suggestions based on a study of patients with diffuse intrinsic pontine glioma
Jessica Goya-Outi
,
Fanny Orlhac
,
Raphael Calmon
,
Agusti Alentorn
,
Christophe Nioche
,
et al.
Journal articles
hal-01801219v1
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The T.R.U.E. Checklist for Identifying Impactful Artificial Intelligence–Based Findings in Nuclear Medicine: Is It True? Is It Reproducible? Is It Useful? Is It Explainable?
Irène Buvat
,
Fanny Orlhac
Journal articles
hal-03441749v1
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Can we identify "twin patients" to predict response to neoadjuvant chemotherapy in breast cancer?
Fanny Orlhac
,
Thibaut Cassou-Mounat
,
Jean-Yves Pierga
,
Marie Luporsi
,
Christophe Nioche
,
et al.
SNMMI Annual Meeting, Jul 2020, Virtual Meeting, United States
Conference papers
inserm-02952453v1
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