Mieneke Rook
Groningen, GR, Netherlands
Last Updated: 09/26/2026
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Found 28 publications
Does BMI influence AI and human reader lung nodule detection in low-dose chest CT?
Journal: European journal of radiology
Published: June 23, 2025
Correction: Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT.
Journal: European radiology experimental
Published: August 16, 2024
Effect of emphysema on AI software and human reader performance in lung nodule detection from low-dose chest CT.
Journal: European radiology experimental
Published: December 01, 2023
Who is at risk of lung nodules on low-dose CT in a Western country? A population-based approach.
Journal: The European respiratory journal
Published: October 10, 2023
Predicted versus CT-derived total lung volume in a general population: The ImaLife study.
Journal: PloS one
Published: November 01, 2022
CT-based emphysema characterization per lobe: A proof of concept.
Journal: European journal of radiology
Published: October 14, 2022
CT characteristics of solid pulmonary nodules of never smokers versus smokers: A population-based study.
Journal: European journal of radiology
Published: April 21, 2022
AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation.
Journal: Journal of digital imaging
Published: June 29, 2021
Qualitative Evaluation of Common Quantitative Metrics for Clinical Acceptance of Automatic Segmentation: a Case Study on Heart Contouring from CT Images by Deep Learning Algorithms.
Journal: Journal of digital imaging
Published: June 18, 2021
Improved precision of noise estimation in CT with a volume-based approach.
Journal: European radiology experimental
Published: April 09, 2021
Ultra-low-dose CT combined with noise reduction techniques for quantification of emphysema in COPD patients: An intra-individual comparison study with standard-dose CT.
Journal: European journal of radiology
Published: January 09, 2021
Last Updated: 09/26/2026