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Advances in Radiation Oncology|March 29, 2021
Using Spatial Probability Maps to Highlight Potential Inaccuracies in Deep Learning-Based Contours: Facilitating Online Adaptive Radiation TherapyWard van Rooij, Wilko F Verbakel, Berend J Slotman, et al.Radiation Oncology (London, England)|December 2, 2020
Strategies to improve deep learning-based salivary gland segmentationWard van Rooij, Max Dahele, Hanne Nijhuis, et al.Cureus|February 22, 2019
Evaluation of an Automated Proton Planning SolutionAlexander R Delaney, Wilko F Verbakel, Jari Lindberg, et al.Acta Oncologica (Stockholm, Sweden)|January 11, 2021
Investigating the potential of deep learning for patient-specific quality assurance of salivary gland contours using EORTC-1219-DAHANCA-29 clinical trial dataHanne Nijhuis, Ward van Rooij, Vincent Gregoire, et al.International Journal of Radiation Oncology, Biology, Physics|March 6, 2019
Deep Learning-Based Delineation of Head and Neck Organs at Risk: Geometric and Dosimetric EvaluationWard van Rooij, Max Dahele, Hugo Ribeiro Brandao, et al.International Journal of Radiation Oncology, Biology, Physics|June 14, 2011
Imaging for stereotactic spine radiotherapy: clinical considerationsMax Dahele, Jaap D Zindler, Esther Sanchez, et al.Practical Radiation Oncology|June 17, 2018
Personalized automated treatment planning for breast plus locoregional lymph nodes using Hybrid RapidArcMariët J van Duren-Koopman, Jim P Tol, Max Dahele, et al.Journal of Thoracic Disease|April 16, 2013
Radiotherapy for a second primary lung cancer arising post-pneumonectomy: planning considerations and clinical outcomesSashendra Senthi, Cornelis J A Haasbeek, Frank J Lagerwaard, et al.Acta Oncologica (Stockholm, Sweden)|March 31, 2017
Optimizing SABR delivery for synchronous multiple lung tumors using volumetric-modulated arc therapyHilâl Tekatli, Shyama U Tetar, Timothy K Nguyen, et al.Pageof 1