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Publications of Benoît Audelan
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Benoît Audelan.
Probabilistic segmentation modelling and deep learning-based lung cancer screening.
Theses,
Université Côte d'Azur,
July 2021.
Keyword(s): Medical imaging,
Image segmentation,
Artificial intelligence,
Machine learning,
Deep learning,
Lung cancer,
Imagerie médicale,
Segmentation d'images,
Intelligence artificielle,
Apprentissage artificiel,
Apprentissage profond,
Cancer du poumon.
[bibtex-entry]
Articles in journal, book chapters |
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Benoît Audelan,
Dimitri Hamzaoui,
Sarah Montagne,
Raphaële Renard-Penna,
and Hervé Delingette.
Robust Bayesian fusion of continuous segmentation maps.
Medical Image Analysis,
78:102398,
May 2022.
Keyword(s): Image segmentation,
Data fusion,
Consensus,
Mixture.
[bibtex-entry]
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Benoît Audelan and Hervé Delingette.
Unsupervised quality control of segmentations based on a smoothness and intensity probabilistic model.
Medical Image Analysis,
68:101895,
November 2020.
Keyword(s): Unsupervised quality control,
Image segmentation,
Bayesian learning,
Unsupervised quality control.
[bibtex-entry]
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Simon Heeke,
Jonathan Benzaquen,
Elodie Long-Mira,
Benoît Audelan,
Virginie Lespinet,
Olivier Bordone,
Salomé Lalvée,
Katia Zahaf,
Michel Poudenx,
Olivier Humbert,
Henri Montaudié,
Pierre-Michel Dugourd,
Madleen Chassang,
Thierry Passeron,
Hervé Delingette,
Charles-Hugo Marquette,
Véronique Hofman,
Albrecht Stenzinger,
Marius Ilié,
and Paul Hofman.
In-House Implementation of Tumor Mutational Burden Testing to Predict Durable Clinical Benefit in Non-Small Cell Lung Cancer and Melanoma Patients.
Cancers,
11,
2019.
Keyword(s): tumor mutational burden,
FoundationOne assay,
Oncomine TML assay,
lung cancer,
melanoma,
immunotherapy.
[bibtex-entry]
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Benoît Audelan,
Lopez Stéphanie,
Pierre Fillard,
Yann Diascorn,
Bernard Padovani,
and Hervé Delingette.
Validation of lung nodule detection a year before diagnosis in NLST dataset based on a deep learning system.
In ERS 2021 - European Respiratory Society International Congress,
Virtual, United Kingdom,
September 2021.
[bibtex-entry]
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Benoît Audelan,
Dimitri Hamzaoui,
Sarah Montagne,
Raphaële Renard-Penna,
and Hervé Delingette.
Robust Fusion of Probability Maps.
In MICCAI 2020 - 23rd International Conference on Medical Image Computing and Computer Assisted Intervention,
Lima/ Virtuel, Peru,
October 2020.
[bibtex-entry]
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Benoît Audelan and Hervé Delingette.
Unsupervised Quality Control of Image Segmentation based on Bayesian Learning.
In MICCAI 2019 - 22nd International Conference on Medical Image Computing and Computer Assisted Intervention,
Shenzhen, China,
October 2019.
Keyword(s): Image segmentation,
Bayesian learning,
Quality control.
[bibtex-entry]
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