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Validation of lung nodule detection a year before diagnosis in NLST dataset based on a deep learning system
Benoît Audelan
,
Lopez Stéphanie
,
Pierre Fillard
,
Yann Diascorn
,
Bernard Padovani
,
et al.
Conference papers
hal-03538729v1
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In-House Implementation of Tumor Mutational Burden Testing to Predict Durable Clinical Benefit in Non-Small Cell Lung Cancer and Melanoma Patients
Simon Heeke
,
Jonathan Benzaquen
,
Elodie Long-Mira
,
Benoît Audelan
,
Virginie Lespinet
,
et al.
Journal articles
hal-02381188v1
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Robust Bayesian fusion of continuous segmentation maps
Benoît Audelan
,
Dimitri Hamzaoui
,
Sarah Montagne
,
Raphaële Renard-Penna
,
Hervé Delingette
Journal articles
hal-03594219v1
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Unsupervised quality control of segmentations based on a smoothness and intensity probabilistic model
Benoît Audelan
,
Hervé Delingette
Journal articles
hal-03044140v1
|
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Unsupervised Quality Control of Image Segmentation based on Bayesian Learning
Benoît Audelan
,
Hervé Delingette
MICCAI 2019 - 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2019, Shenzhen, China
Conference papers
hal-02265131v1
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Probabilistic segmentation modelling and deep learning-based lung cancer screening
Benoît Audelan
Theses
tel-03406789v1
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