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3D-GlioPREDICT: 3D Latent Diffusion for Post-Radiotherapy Brain MRI Prediction in Patients with Glioma
Nordin Belkacemi, Selena Huisman, Vera C. Keil +2
Radiotherapy is a cornerstone of glioma treatment inducing complex structural changes in brain tissue that are difficult to anticipate. Predicting these changes from pretreatment d…
Rectified flow-based prediction of post-treatment brain MRI from pre-radiotherapy priors for patients with glioma
Selena Huisman, Nordin Belkacemi, Vera C. Keil +2
Brain tumors result in 20 years of lost life on average. Standard therapies induce complex structural changes in the brain that are monitored through MRI. Recent developments in ar…
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT
Selena Huisman, Matteo Maspero, Marielle Philippens +2
Manual segmentation of medical images is labor intensive and especially challenging for images with poor contrast or resolution. The presence of disease exacerbates this further, i…
Automatic Online Quality Control of Synthetic CTs
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff +1
Accurate MR-to-CT synthesis is a requirement for MR-only workflows in radiotherapy (RT) treatment planning. In recent years, deep learning-based approaches have shown impressive re…