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		Deep learning: definition and perspectives for thoracic imaging Maria Vakalopoulou , Guillaume Chassagnon , Nikos Paragios , Marie-Pierre Revel European Radiology, 2019, 30, p. 2021-2030. ⟨10.1007/s00330-019-06564-3⟩ Article dans une revue hal-02422513v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Long-term evaluation of computed tomographic lung abnormalities in cystic fibrosis patients treated with ivacaftor Guillaume Chassagnon , Dominique Hubert , Isabelle Fajac , Pierre-Régis Burgel , Marie-Pierre Revel European CF Young Investigator Meeting, Feb 2016, Paris, France Communication dans un congrès hal-01416798v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep Learning–based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images Guillaume Chassagnon , Maria Vakalopoulou , Alexis Régent , Evangelia Zacharaki , Galit Aviram , et al. Radiology: Artificial Intelligence, 2020, 2 (4), pp.e190006. ⟨10.1148/ryai.2020190006⟩ Article dans une revue hal-03133250v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Linear and Deformable Image Registration with 3D Convolutional Neural Networks Stergios Christodoulidis , Mihir Sahasrabudhe , Maria Vakalopoulou , Guillaume Chassagnon , Marie-Pierre Revel , et al. Reconstruction and Analysis of Moving Body Organs, 21th International Conference on Medical Image Computing and Computer Assisted Intervention 2018, Sep 2018, Grenada, Spain Communication dans un congrès hal-01935607v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Strategies to safely rule out pulmonary embolism in COVID-19 outpatients: a multicenter retrospective study Guillaume Chassagnon , Mostafa El Hajjam , Samia Boussouar , Marie-Pierre Revel , Ralph Khoury , et al. European Radiology, 2023, 33 (8), pp.5540-5548. ⟨10.1007/s00330-023-09475-6⟩ Article dans une revue hal-04436996v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Computed tomography imaging of non-small cell lung cancer Guillaume Chassagnon , Souhail Bennani , Marie-Pierre Revel Cancer/Radiothérapie, 2016, 20 (6-7), pp.694-8. ⟨10.1016/j.canrad.2016.08.125⟩ Article dans une revue hal-01416753v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Elastic Registration–driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT Guillaume Chassagnon , Maria Vakalopoulou , Alexis Régent , Mihir Sahasrabudhe , Rafael Marini , et al. Radiology, 2021, 298 (1), pp.189-198. ⟨10.1148/radiol.2020200319⟩ Article dans une revue hal-03134510v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Systemic air embolism depicted on systematic whole thoracic CT acquisition after percutaneous lung biopsy: Incidence and risk factors Valérie Monnin-Bares , Guillaume Chassagnon , Hélène Vernhet-Kovacsik , Hamid Zarqane , Juliette Vanoverschelde , et al. European Journal of Radiology, 2019, 117, pp.26-32. ⟨10.1016/j.ejrad.2019.05.016⟩ Article dans une revue hal-02302626v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation Maria Vakalopoulou , Guillaume Chassagnon , Nikos Paragios , Marie-Pierre Revel , Evangelia I. Zacharaki ISBI’18 - IEEE International Symposium on Biomedical Imaging, Apr 2018, Washington, D.C., United States Communication dans un congrès hal-01721714v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Computer-aided diagnosis (CAD) of subsolid nodules: Evaluation of a commercial CAD system Joseph Benzakoun , Sébastien Bommart , Joël Coste , Guillaume Chassagnon , Mathieu Lederlin , et al. European Journal of Radiology, 2016, 85 (10), pp.1728 - 1734. ⟨10.1016/j.ejrad.2016.07.011⟩ Article dans une revue hal-01416763v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Certification of Deep Learning Models for Medical Image Segmentation Othmane Laousy , Alexandre Araujo , Guillaume Chassagnon , Nikos Paragios , Marie Pierre Revel , et al. MICCAI 2023 - 26th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2023, Vancouver (BC), Canada. pp.611-621, ⟨10.1007/978-3-031-43901-8_58⟩ Communication dans un congrès hal-04388114v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Long-term computed tomographic changes in cystic fibrosis patients treated with ivacaftor Guillaume Chassagnon , Dominique Hubert , Isabelle Fajac , Pierre-Régis Burgel , Marie-Pierre Revel European Respiratory Journal, 2016, 48 (1), pp.249 - 252. ⟨10.1183/13993003.01918-2015⟩ Article dans une revue hal-01416766v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Artificial intelligence applications for thoracic imaging Guillaume Chassagnon , Maria Vakalopoulou , Nikos Paragios , Marie-Pierre Revel European Journal of Radiology, 2020, 123, pp.108774. ⟨10.1016/j.ejrad.2019.108774⟩ Article dans une revue hal-02422501v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Towards Better Certified Segmentation via Diffusion Models Othmane Laousy , Alexandre Araujo , Guillaume Chassagnon , Marie-Pierre Revel , Siddharth Garg , et al. UAI 2023 - The 39th Conference on Uncertainty in Artificial Intelligence -, Jul 2023, Pittsburgh (Pennsylvania), United States. pp.1185-1195 Communication dans un congrès hal-04388219v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Tracheobronchial Branching Abnormalities: Lobe-based Classification Scheme Guillaume Chassagnon , Baptiste Morel , Elodie Carpentier , Hubert Ducou Le Pointe , Dominique Sirinelli Radiographics, 2016, 36 (2), pp.358 - 373. ⟨10.1148/rg.2016150115⟩ Article dans une revue hal-01416774v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia Guillaume Chassagnon , Maria Vakalopoulou , Enzo Battistella , Stergios Christodoulidis , Trieu-Nghi Hoang-Thi , et al. Medical Image Analysis, 2021, 67, pp.101860. ⟨10.1016/j.media.2020.101860⟩ Article dans une revue hal-03133234v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used? Trieu-Nghi Hoang-Thi , Maria Vakalopoulou , Stergios Christodoulidis , Nikos Paragios , Marie-Pierre Revel , et al. Diagnostic and Interventional Imaging, 2021, 102 (11), pp.691-695. ⟨10.1016/j.diii.2021.10.001⟩ Article dans une revue hal-03539082v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation Maria Vakalopoulou , Guillaume Chassagnon , Norbert Bus , Rafael Marini Silva , Evangelia I. Zacharaki , et al. International Conference on Medical Image Computing and Computer-Assisted Intervention, Sep 2018, Granada, Spain Communication dans un congrès hal-01958236v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Cumulative radiation dose after lung transplantation in patients with cystic fibrosis I. Fitton , M.-P. Revel , P.-R. Burgel , A. Hernigou , V. Boussaud , et al. Diagnostic and Interventional Imaging, 2019, 100, pp.287 - 294. ⟨10.1016/j.diii.2018.12.006⟩ Article dans une revue hal-03486273v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis Guillaume Chassagnon , Charlotte Martin , Rafael Marini , Maria Vakalopoulou , Alexis Régent , et al. Radiology, 2019, 291 (2), pp.487-492. ⟨10.1148/radiol.2019182099⟩ Article dans une revue hal-02422529v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Deep learning: definition and perspectives for thoracic imaging

Long-term evaluation of computed tomographic lung abnormalities in cystic fibrosis patients treated with ivacaftor

Deep Learning–based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images

Linear and Deformable Image Registration with 3D Convolutional Neural Networks

Strategies to safely rule out pulmonary embolism in COVID-19 outpatients: a multicenter retrospective study

Computed tomography imaging of non-small cell lung cancer

Elastic Registration–driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT

Systemic air embolism depicted on systematic whole thoracic CT acquisition after percutaneous lung biopsy: Incidence and risk factors

Deep patch-based priors under a fully convolutional encoder-decoder architecture for interstitial lung disease segmentation

Computer-aided diagnosis (CAD) of subsolid nodules: Evaluation of a commercial CAD system

Certification of Deep Learning Models for Medical Image Segmentation

Long-term computed tomographic changes in cystic fibrosis patients treated with ivacaftor

Artificial intelligence applications for thoracic imaging

Towards Better Certified Segmentation via Diffusion Models

Tracheobronchial Branching Abnormalities: Lobe-based Classification Scheme

AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia

Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?

AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation

Cumulative radiation dose after lung transplantation in patients with cystic fibrosis

Use of Elastic Registration in Pulmonary MRI for the Assessment of Pulmonary Fibrosis in Patients with Systemic Sclerosis