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LMU ART Lab

Nathalie L. Albert

Tumor Asphericity in FDG PET Is an Independent Prognostic Parameter Improving Risk Stratification in Patients with Head and Neck Squamous Cell Carcinoma
A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in 18-F FDG PET/CT
18F-Fluorodeoxyglucose Positron Emission Tomography of Head and Neck Cancer: Location and HPV Specific Parameters for Potential Treatment Individualization
Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis
Risk Stratification Using 18F-FDG PET/CT and Artificial Neural Networks in Head and Neck Cancer Patients Undergoing Radiotherapy

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