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authFullName_s : Fanny Orlhac
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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.
PLoS ONE, 2019, 14 (3), pp.e0214299. ⟨10.1371/journal.pone.0214299⟩
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 []. 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
Radiology, 2019, 291 (1), pp.53-59. ⟨10.1148/radiol.2019182023⟩
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 of Nuclear Medicine, 2019, 60 (11), pp.1543-1544. ⟨10.2967/jnumed.119.235325⟩
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 of Nuclear Medicine, 2021, 63 (2), pp.172-179. ⟨10.2967/jnumed.121.262464⟩
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.
Medical Physics, 2022, 49 (6), pp.3816-3829. ⟨10.1002/mp.15603⟩
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.
European Journal of Nuclear Medicine and Molecular Imaging, 2022, Online ahead of print. ⟨10.1007/s00259-022-06000-7⟩
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.
Magnetic Resonance Materials in Physics, Biology and Medicine, 2020, Online ahead of print. ⟨10.1007/s10334-020-00892-y⟩
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.
Medical Physics, 2018, 45 (4), pp.1529 - 1536. ⟨10.1002/mp.12809⟩
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

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

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.
Cancer Research, 2018, 78 (16), pp.4786 - 4789. ⟨10.1158/0008-5472.CAN-18-0125⟩
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
Cancers, 2021, 13 (12), pp.3037. ⟨10.3390/cancers13123037⟩
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.
Radiology, 2020, 295 (2), pp.328-338. ⟨10.1148/radiol.2020191145⟩
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.
Frontiers in Oncology, 2020, 10, pp.43. ⟨10.3389/fonc.2020.00043⟩
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.
Physics in Medicine and Biology, 2018, 63 (10), pp.105003. ⟨10.1088/1361-6560/aabd21⟩
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 of Nuclear Medicine, 2021, 62 (6), pp.752-754. ⟨10.2967/jnumed.120.261586⟩
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