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Publicaties

A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules

A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CT

Artificial intelligence as an independent reader of risk-dominant lung nodules: influence of CT reconstruction parameters

CT-based airway changes after smoking cessation in the general population

Effectiveness and safety of different wire types for preoperative localization of pulmonary nodules: A systematic review and meta-analysis

Repeatability of AI-based, automatic measurement of vertebral and cardiovascular imaging biomarkers in low-dose chest CT: the ImaLife cohort

Validation of artificial intelligence software for automatic calcium scoring in cardiac and chest computed tomography

Correction: Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT (European Radiology Experimental, (2024), 8, 1, (63), 10.1186/s41747-024-00459-9)

Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT

Pathophysiological processes underlying hidden hearing loss revealed in Kcnt1/2 double knockout mice