Outcome Modelling

Elia Lombardo, Christopher Kurz, Guillaume Landry
Feb 29, 2024

In this project, we aim at making use of planning imaging to enhance the performance and personalize AI auto-segmentation models.

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

Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts

Elia Lombardo
Elia Lombardo
Doctoral Student

My PhD project is on motion management and artificial intelligence in MRgRT.

Christopher Kurz
Christopher Kurz
Group Leader in MR Guided Radiation Therapy

My research interests include MRgRT and CBCT imaging.

Guillaume Landry
Guillaume Landry
Professor of Image Guided Radiation Therapy

My research interests include image guidance and artificial intelligence.