Publications of Benoît Audelan

1. Benoît Audelan. Probabilistic segmentation modelling and deep learning-based lung cancer screening. Theses, Université Côte d'Azur, July 2021. Keyword(s): Medical imaging, Lung cancer, Deep learning, Machine learning, Artificial intelligence, Image segmentation, Cancer du poumon, Apprentissage profond, Apprentissage artificiel, Intelligence artificielle, Segmentation d'images, Imagerie médicale. [bibtex-entry]

1. 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): Mixture, Consensus, Data fusion, Image segmentation. [bibtex-entry]



2. 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): Image segmentation, Bayesian learning, Unsupervised quality control, Image segmentation. [bibtex-entry]



3. 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): immunotherapy, melanoma, lung cancer, Oncomine TML assay, FoundationOne assay, tumor mutational burden. [bibtex-entry]

1. 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]



2. 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]



3. 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): Bayesian learning, Image segmentation, Quality control. [bibtex-entry]

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Les documents contenus dans ces répertoires sont rendus disponibles par les auteurs qui y ont contribué en vue d'assurer la diffusion à temps de travaux savants et techniques sur une base non-commerciale. Les droits de copie et autres droits sont gardés par les auteurs et par les détenteurs du copyright, en dépit du fait qu'ils présentent ici leurs travaux sous forme électronique. Les personnes copiant ces informations doivent adhérer aux termes et contraintes couverts par le copyright de chaque auteur. Ces travaux ne peuvent pas être rendus disponibles ailleurs sans la permission explicite du détenteur du copyright.

This document was translated from BibT_EX by bibtex2html