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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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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

On the Origin of the Decay of the Photocatalytic Activity of TiO 2 Powders Ground at High Energy

Sylvie Begin-Colin , Atef Gadalla , Gérard Le Caër , Olivier Humbert , Fabien Thomas , et al.
Journal of Physical Chemistry C, 2009, 113 (38), pp.16589-16602. ⟨10.1021/jp900108a⟩
Journal articles hal-02558425v1
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Validation of a harmonization method to correct for SUV and radiomic features variability in multi-center studies

Fanny Orlhac , Olivier Humbert , Sarah Boughdad , Maud Lasserre , Michael Soussan , et al.
SNMMI Annual Meeting, Jun 2018, Philadelphia, United States. pp.288
Conference papers hal-01759334v1

18FDG PET/CT in the early assessment of non-small cell lung cancer response to immunotherapy: frequency and clinical significance of atypical evolutive patterns

Olivier Humbert , Nour Cadour , R. Schiappa , M. Poudenx , D. Chardin , et al.
European Journal of Nuclear Medicine and Molecular Imaging, 2020, 47 (5), pp.1158-1167. ⟨10.1007/s00259-019-04573-4⟩
Journal articles hal-02563277v1
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Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism

Aude Sportisse , Hugo Schmutz , Olivier Humbert , Charles Bouveyron , Pierre-Alexandre Mattei
2023
Preprints, Working Papers, ... hal-03982898v1

Don't fear the unlabelled: safe deep semi-supervised learning via simple debiasing

Hugo Schmutz , Olivier Humbert , Pierre-Alexandre Mattei
2022
Preprints, Working Papers, ... hal-03610272v1
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Statistical analysis of PET radiomic features and metabolomic data: prediction of triple-negative breast cancer

Fanny Orlhac , Olivier Humbert , Thierry Pourcher , Lun Jing , Jean-Marie Guigonis , et al.
SNMMI Annual Meeting, Jun 2018, Philadelphia, United States. pp.1755
Conference papers hal-01759330v1

18FDG PET/CT and Machine Learning for the prediction of lung cancer response to immunotherapy

Hugo Schmutz , Pierre-Alexandre Mattei , Sara Contu , David Chardin , Olivier Humbert
EANM 2022 - 35th Annual Congres - Annual Congress of the European Association of Nuclear Medicine, Oct 2022, Barcelona, Spain. pp.245, ⟨10.1007/s00259-022-05924-4⟩
Conference papers hal-03876074v1
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Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection—an application in metabolomics studies

David Chardin , Olivier Humbert , Caroline Bailleux , Fanny Burel-Vandenbos , Valerie Rigau , et al.
BMC Bioinformatics, 2021, 22 (1), ⟨10.1186/s12859-021-04478-w⟩
Journal articles hal-03495362v1
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Identification des cancers mammaires triple-négatifs : analyse statistique de variables radiomiques issues des images TEP et de variables métabolomiques

Fanny Orlhac , Charles Bouveyron , Thierry Pourcher , Lun Jing , Jean-Marie Guigonis , et al.
2018 - 4èmes Journées Francophones de Médecine Nucléaire, May 2018, Lille, France. pp.169
Conference papers hal-01736154v1

Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard , Alain Lalande , Clement Zotti , Frederic Cervenansky , Xin Yang , et al.
IEEE Transactions on Medical Imaging, 2018, 37 (11), pp.2514-2525. ⟨10.1109/TMI.2018.2837502⟩
Journal articles hal-01803621v1

Improving I-131 Radioiodine Therapy By Hybrid Polymer-Grafted Gold Nanoparticles

Marine Le Goas , Marie Paquet , Aurélie Paquirissamy , Julien Guglielmi , Cathy Compin , et al.
International Journal of Nanomedicine, 2019, 14, pp.7933-7946. ⟨10.2147/IJN.S211496⟩
Journal articles cea-02316811v1
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Analyse statistique de données radiomiques et métabolomiques : prédiction des lésions mammaires triple-négatives

Fanny Orlhac , Olivier Humbert , Thierry Pourcher , Lun Jing , Jean-Marie Guigonis , et al.
12ème Conférence Francophone d’Epidémiologie Clinique (EPICLIN) et 25èmes Journées des statisticiens des Centre de Lutte Contre le Cancer (CLCC), May 2018, Nice, France. pp.S180-S181, ⟨10.1016/j.respe.2018.03.307⟩
Conference papers hal-01736164v1