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Radiology|September 16, 2025
External Test of a Deep Learning Algorithm for Pulmonary Nodule Malignancy Risk Stratification Using European Screening DataNoa Antonissen, Kiran Vaidhya Venkadesh, Renate Dinnessen, et al.
Radiology. Artificial Intelligence|June 24, 2026
Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: The LUNA25 ChallengeDré Peeters, Bogdan Obreja, Noa Antonissen, et al.
Radiology|August 30, 2012
Pulmonary perifissural nodules on CT scans: rapid growth is not a predictor of malignancyBartjan de Hoop, Bram van Ginneken, Hester Gietema, et al.
Intensive Care Medicine|July 25, 2003
Alveolar recruitment of atelectasis under combined high-frequency jet ventilation: a computed tomography studyPaul Kraincuk, Günther Körmöczi, Mathias Prokop, et al.
Medical Physics|August 11, 2006
Automated classification of hyperlucency, fibrosis, ground glass, solid, and focal lesions in high-resolution CT of the lungIngrid C Sluimer, Mathias Prokop, Ieneke Hartmann, et al.
Plos One|March 17, 2026
Extent of alveolar collapse in expiratory CT as a prognostic marker in idiopathic pulmonary fibrosisSarah C Scharm, Cornelia Schaefer-Prokop, Anton Schreuder, et al.
Radiology|June 27, 2015
Quantitative Dose Dependency Analysis of Whole-Brain CT Perfusion ImagingRashindra Manniesing, Marcel T H Oei, Bram van Ginneken, et al.
IEEE Transactions on Medical Imaging|April 13, 2006
Local noise weighted filtering for emphysema scoring of low-dose CT imagesArnold M R Schilham, Bram van Ginneken, Hester Gietema, et al.
JAMIA Open|October 3, 2025
Leveraging open-source large language models for clinical information extraction in resource-constrained settingsLuc Builtjes, Joeran Bosma, Mathias Prokop, et al.
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