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Physics and Imaging in Radiation Oncology|December 25, 2024
Impact of annotation imperfections and auto-curation for deep learning-based organ-at-risk segmentationVictor I J Strijbis, O J Gurney-Champion, Berend J Slotman, et al.
Frontiers in Oncology|October 13, 2023
Dose distribution prediction for head-and-neck cancer radiotherapy using a generative adversarial network: influence of input dataXiaojin Gu, Victor I J Strijbis, Ben J Slotman, et al.
Computers in Biology and Medicine|August 20, 2025
Interpreting convolutional neural network explainability for head-and-neck cancer radiotherapy organ-at-risk segmentationVictor I J Strijbis, Oliver J Gurney-Champion, Dragos I Grama, et al.
Cancers|November 26, 2022
Deep Learning for Automated Elective Lymph Node Level Segmentation for Head and Neck Cancer RadiotherapyVictor I J Strijbis, Max Dahele, Oliver J Gurney-Champion, et al.
Scientific Reports|July 17, 2021
Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastomaVictor I J Strijbis, Christiaan M de Bloeme, Robin W Jansen, et al.
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