S. Mulder

Improved Xerostomia Prediction in Head and Neck Cancer Patients with Dixon Magnetic Resonance Imaging of Glandular Adiposity: Validation of Semi-Quantitative Parotid T1 Signal Intensity Metrics for Biomarker Pre-Qualification.

M. Chambers, L. V. van Dijk, A. Mohamed, 2022, medRxiv.

MR-Guided Adaptive Radiotherapy for OAR Sparing in Head and Neck Cancers

L. V. van Dijk, K. Wahid, C. Fuller, 2022, Cancers.

Intensity standardization methods in magnetic resonance imaging of head and neck cancer

R. He, B. Anderson, L. V. van Dijk, 2021, Physics and imaging in radiation oncology.

Radiotherapy dose-volume parameters predict videofluoroscopy-detected dysphagia per DIGEST after IMRT for oropharyngeal cancer: Results of a prospective registry.

Mona Kamal, Clifton D Fuller, Jan S Lewin, 2018, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

MRI Intensity Standardization Evaluation Design for Head and Neck Quantitative Imaging Applications

R. He, B. Anderson, L. V. van Dijk, 2021, medRxiv.

Prospective Evaluation of In Vivo and Phantom Repeatability and Reproducibility of Diffusion-Weighted MRI Sequences on 1.5T MRI-Linear Accelerator (MR-Linac) and MR Simulator Devices for Head and Neck Cancers.

R. He, D. Thorwarth, J. Christodouleas, 2023, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Development and implementation of optimized endogenous contrast sequences for delineation in adaptive radiotherapy on a 1.5T MR-linear-accelerator: a prospective R-IDEAL stage 0-2a quantitative/qualitative evaluation of in vivo site-specific quality-assurance using a 3D T2 fat-suppressed platform fo

R. He, C. Pinnix, M. Naser, 2023, Journal of medical imaging.