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Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance: Recommendations for implementation and quality assurance
Vandewinckele, L., Claessens, M., Dinkla, A., Brouwer, C., Crijns, W., Verellen, D. & van Elmpt, W., Dec 2020, In: Radiotherapy and Oncology. 153, p. 55-66 12 p.Research output: Contribution to journal › Review article* › Academic › peer-review
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Machine learning applications in radiation oncology: Current use and needs to support clinical implementation: Current use and needs to support clinical implementation
Brouwer, C. L., Dinkla, A. M., Vandewinckele, L., Crijns, W., Claessens, M., Verellen, D. & van Elmpt, W., 1 Oct 2020, In: Physics and Imaging in Radiation Oncology. 16, p. 144-148 5 p.Research output: Contribution to journal › Article* › Academic › peer-review
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Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network
Dinkla, A. M., Florkow, M. C., Maspero, M., Savenije, M. H. F., Zijlstra, F., Doornaert, P. A. H., van Stralen, M., Philippens, M. E. P., van den Berg, C. A. T. & Seevinck, P. R., Sept 2019, In: Medical physics. 46, 9, p. 4095-4104Research output: Contribution to journal › Article* › Academic › peer-review
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