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Over ons Praktische zaken Waar vindt u ons prof. dr. ir. P.M.A. (Peter) van Ooijen

Publicaties

2562: AI-enhanced proton radiography: deep learning for assessing treatment deviations in proton therapy

A comparative study of federated learning methods for COVID-19 detection

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

A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders

Automated Breast Density Assessment in MRI Using Deep Learning and Radiomics: Strategies for Reducing Inter-Observer Variability

Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review

BoneStory: Visual Storytelling in 3D Virtual Surgical Planning for Bone Fracture Reduction

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)

CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies

Deep learning-based outcome prediction using PET/CT and automatically predicted probability maps of primary tumor in patients with oropharyngeal cancer

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Pers/media

Terugblik Winterschool: ‘Een rijbewijs voor kunstmatige intelligentie en gezondheid’

Kunstmatige intelligentie helpt UMCG bij opsporen ziektes

Hoe kan kunstmatige intelligentie helpen om longkanker eerder op te sporen?

Hoe kan kunstmatige intelligentie helpen om longkanker eerder op te sporen?

Data Science Center in Health (DASH)

DAME: Deep learning Algorithms for Medical image Evaluation

DAME project

Data control with AI: who’s in charge?

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