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Over ons Praktische zaken Waar vindt u ons prof. dr. R. (Rozemarijn) Vliegenthart

Publicaties

A framework to integrate artificial intelligence training into radiology residency programs: preparing the future radiologist

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

ESR Bridges: CT builds bridges in coronary artery disease

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

Feasibility of virtual non-iodine coronary calcium scoring on dual source photon-counting coronary CT angiography: a dynamic phantom study

Phase angle and donor type are determinants of coronary artery calcification in stable kidney transplant recipients at twelve months after transplantation

The relationship of fat and muscle measurements with emphysema and bronchial wall thickening in smokers

Who is at risk of lung nodules on low-dose CT in a Western country?: A population-based approach

Addition of FFRct in the diagnostic pathway of patients with stable chest pain to reduce unnecessary invasive coronary angiography (FUSION) Rationale and design for the multicentre, randomised, controlled FUSION trial

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Pers/media

Hart- en vaatziekten opsporen voordat je ziek wordt: ImaLife

Kunstmatige intelligentie helpt UMCG bij opsporen ziektes

Nieuwe technologie moet UMCG-radiologen ondersteunen bij vroegtijdig opsporen ziekten

Met behulp van kunstmatige intelligentie ziekten eerder opzoeken

Met behulp van kunstmatige intelligentie ziekten vroegtijdig opsporen

Nieuwe technologie moet UMCG-radiologen ondersteunen bij vroegtijdig opsporen ziekten

Ziekten eerder opsporen met behulp van kunstmatige intelligentie

DISCHARGE: CTA shows safety edge versus cath in intermediate-risk stable chest pain

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