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
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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 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
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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.
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
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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
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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.
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
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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.
Journal articles
hal-01803621v1
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Improving I-131 Radioiodine Therapy By Hybrid Polymer-Grafted Gold Nanoparticles
Marine Le Goas
,
Marie Paquet
,
Aurélie Paquirissamy
,
Julien Guglielmi
,
Cathy Compin
,
et al.
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
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