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Practical matters How to find us prof. dr. M. (Matthijs) Oudkerk


AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation

Automatic Cardiac Structure Contouring for Small Datasets with Cascaded Deep Learning Models

Breast Tumor Identification in Ultrafast MRI Using Temporal and Spatial Information

Coronary calcium scoring as first-line test to detect and exclude coronary artery disease in patients presenting to the general practitioner with stable chest pain: protocol of the cluster-randomised CONCRETE trial

Deep Learning for Automatic Calcium Scoring in Population-Based Cardiovascular Screening

Early detection of obstructive coronary artery disease in the asymptomatic high-risk population: objectives and study design of the EARLY-SYNERGY trial

Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting

Inter-reader agreement when using artificial intelligence for classification of solid pulmonary nodules in ultra-low dose CT baseline lung cancer screening

Low-Dose CT lung cancer screening: clinical evidence and implementation research

Multi-Modality Imaging for Prevention of Coronary Artery Disease and Myocardial Infarction in the General Population: Ready for Prime Time?

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Stand-alone AI for lung cancer screenings could reduce radiologist workloads by 86%, study suggests

在一項群體研究中顯示Coreline AI冠狀動脈鈣化解決方案的診斷準確率達99.2%

Coreline Soft highlights CAC research

Coreline AI Coronary Artery Calcium Solution Shows 99.2% Accuracy From a Population Study

Meet the EuroMinnies 2021 semifinal candidates

Expert Point of View: Matthijs Oudkerk, MD

Never overlook vascular nature of COVID-19, Oudkerk warns

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