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Insights Into Imaging|October 19, 2023
Ten reasons to screen women at risk of lung cancerMarie-Pierre Revel, Guillaume Chassagnon
European Radiology|December 8, 2019
Deep learning: definition and perspectives for thoracic imagingGuillaume Chassagnon, Maria Vakalopolou, Nikos Paragios, et al.
Radiology Case Reports|July 9, 2020
A paravertebral approach for CT-guided percutaneous biopsy of presumably inaccessible, posterior and centrally located pulmonary nodulesKatharina Martini, Guillaume Chassagnon, Souhail Bennani, et al.
European Journal of Radiology|December 17, 2019
Artificial intelligence applications for thoracic imagingGuillaume Chassagnon, Maria Vakalopoulou, Nikos Paragios, et al.
Translational Lung Cancer Research|June 24, 2021
Ongoing challenges in implementation of lung cancer screeningKatharina Martini, Guillaume Chassagnon, Thomas Frauenfelder, et al.
BMJ Open|January 4, 2023
Lung CAncer SCreening in French women using low-dose CT and Artificial intelligence for DEtection: the CASCADE study protocolMarie-Pierre Revel, Hendy Abdoul, Guillaume Chassagnon, et al.
The British Journal of Radiology|June 16, 2018
CT-guided percutaneous core biopsy for assessment of morphologically normal adrenal glands showing high FDG uptake in patients with lung cancerGuillaume Chassagnon, Souhail Bennani, Gaël Freche, et al.
Diagnostic and Interventional Imaging|October 23, 2021
Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?Trieu-Nghi Hoang-Thi, Maria Vakalopoulou, Stergios Christodoulidis, et al.
Diagnostic and Interventional Imaging|December 28, 2020
CT features of lung metastases from pancreatic adenocarcinoma: Correlation with histopathologic findingsMathilde Aissaoui, Audrey Lupo, Romain Coriat, et al.
AJR. American Journal of Roentgenology|December 13, 2018
Does Ipsilateral-Dependent Positioning During Percutaneous Lung Biopsy Decrease the Risk of Pneumothorax?Thomas Leger, Naim Jerjir, Jules Gregory, et al.
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