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Over ons Praktische zaken Waar vindt u ons dr. ir. N.M. (Marianna) Sijtsema

Research interests

Radiotherapy, Adaptive Radiotherapy (ART), Image Biomarkers, Radiomics, Adaptive Proton Therapy

Publicaties

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

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

Late-xerostomia prediction model based on 18F-FDG PET image biomarkers of the main salivary glands

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

PET/CT based transformer model for multi-outcome prediction in oropharyngeal cancer

Probability maps for deep learning-based head and neck tumor segmentation: Graphical User Interface design and test

Proton and photon radiotherapy in stage III NSCLC: Effects on hematological toxicity and adjuvant immune therapy

Tackling heterogeneity in medical federated learning via aligning vision transformers

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

Towards the global integration of a comprehensive toxicity risk profile for HNC patients

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