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

Publicaties

A comparison of an integrated and image-only deep learning model for predicting the disappearance of indeterminate pulmonary nodules

ESR Bridges: bridging the AI gap: a collaborative effort of radiologists and technical AI professionals-a multidisciplinary view

Normal tissue complication probability model predicting taste impairment in head and neck cancer patients: Evaluating the taste bud bearing tongue mucosa as a predictor

PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer

Repeatability of AI-based, automatic measurement of vertebral and cardiovascular imaging biomarkers in low-dose chest CT: the ImaLife cohort

The prognostic value of pathologic lymph node imaging using deep learning-based outcome prediction in oropharyngeal cancer patients

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer

Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort

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

Pers/media

Interview for the EuSoMII and Bracco AI contest 2024

Vernieuwd MVC-gebouw op ludieke wijze geopend

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)