Deep learning based MLC aperture and monitor unit prediction as a warm start for breast VMAT optimisation
Vandewinckele, L, Reynders, T, Weltens, C, Maes, F, Crijns, W
Published in Physics in medicine & biology (21.11.2023)
Published in Physics in medicine & biology (21.11.2023)
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Journal Article
PD-0819 Dose mimicking by deep learning based fluence prediction: one model for different class solutions
Vandewinckele, L., Willems, S., Lambrecht, M., Maes, F., Crijns, W.
Published in Radiotherapy and oncology (01.08.2021)
Published in Radiotherapy and oncology (01.08.2021)
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Journal Article
PO-1637 Deep learning-based IMRT treatment planning on synthetic-CT for ART in NSCLC-patients
Callens, D., Vandewinckele, L., Berkovic, P., Maes, F., Lambrecht, M., Crijns, W.
Published in Radiotherapy and oncology (01.05.2023)
Published in Radiotherapy and oncology (01.05.2023)
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Journal Article
Clinical Evaluation of a Deep Learning Model for Segmentation of Nodal Clinical Target Volumes in Breast Cancer Radiotherapy
Buelens, P., Willems, S., Vandewinckele, L., Crijns, W., Maes, F., Weltens, C.G.
Published in International journal of radiation oncology, biology, physics (01.11.2020)
Published in International journal of radiation oncology, biology, physics (01.11.2020)
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Journal Article