Dosiomics and radiomics-based prediction of pneumonitis after radiotherapy and immune checkpoint inhibition: The relevance of fractionation

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Publikováno v: In Lung Cancer March 2024 189

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning

Autor: Oksuz, Ilkay, Ruijsink, Jacobus Bernardus, Puyol Anton, Esther, Clough, James Richard, Lima da Cruz, Gastao Jose, Bustin, Aurelien, Prieto Vasquez, Claudia, Botnar, Rene Michael, Rueckert, Daniel, Schnabel, Julia Anne, King, Andrew Peter

Publikováno v: Oksuz, I, Ruijsink, J B, Puyol Anton, E, Clough, J R, Lima da Cruz, G J, Bustin, A, Prieto Vasquez, C, Botnar, R M, Rueckert, D, Schnabel, J A & King, A P 2019, ' Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning ', Medical Image Analysis, vol. 55, pp. 136-147 . https://doi.org/10.1016/j.media.2019.04.009

Good quality of medical images is a prerequisite for the success of subsequent image analysis pipelines. Quality assessment of medical images is therefore an essential activity and for large population studies such as the UK Biobank (UKBB), manual id

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https://kclpure.kcl.ac.uk/en/publications/9c3d36d3-c88a-4797-94c0-0e9c4d65f46a