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Publications

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

Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

Assessing deep learning reconstruction for faster prostate MRI: visual vs. diagnostic performance metrics

Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis

Does FDG-PET/CT for incidentally found pulmonary lesions lead to a cascade of more incidental findings?

Evaluating Biparametric Versus Multiparametric Magnetic Resonance Imaging for Diagnosing Clinically Significant Prostate Cancer: An International, Paired, Noninferiority, Confirmatory Observer Study.

Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy

Is radiology's future without medical images?

Is work overload associated with diagnostic errors on 18F-FDG-PET/CT?

Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT

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Press/media

1,9 miljoen euro subsidie voor terugdringen van scantijd MRI bij prostaatkanker

Subsidie voor onderzoek naar snellere MRI-scan met AI

1,9 miljoen euro subsidie voor snellere MRI-scan met artificial intelligence

Subsidie voor onderzoek naar het verkorten van de duur van MRI-scans

Bijna 2 miljoen euro subsidie voor snellere MRI-scan met artificial intelligence

RUG-onderzoeker wil MRI-scan bij prostaatkanker terugbrengen naar kwartier

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