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Publications

Detectability of Iodine in Mediastinal Lesions on Photon Counting CT: A Phantom Study

Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection

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)

Cost-effectiveness analysis of a lung cancer screening program in the netherlands: a simulation based on NELSON and NLST study outcomes

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

Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimation

Explainable machine learning model based on clinical factors for predicting the disappearance of indeterminate pulmonary nodules

Lung Nodule Management in Low-Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial

Performance evaluation of a 4D similarity filter for dynamic CT angiography imaging of the liver

Review of strategies to reduce the contamination of the water environment by gadolinium-based contrast agents