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Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation algorithm
Free accessIOP Institute of Physics | 2022| -
Accurate segmentation of head and neck radiotherapy CT scans with 3D CNNs:consistency is key
Free accessBASE | 2023| -
Accurate segmentation of head and neck radiotherapy CT scans with 3D CNNs: consistency is key
Free accessIOP Institute of Physics | 2023| -
18F-FDG PET image biomarkers improve prediction of late radiation-induced xerostomia
British Library Online Contents | 2018| -
18F-FDG PET image biomarkers improve prediction of late radiation-induced xerostomia
British Library Online Contents | 2018| -
Geometric Image Biomarker Changes of the Parotid Gland Are Associated With Late Xerostomia
British Library Online Contents | 2017| -
CT image biomarkers to improve patient-specific prediction of radiation-induced xerostomia and sticky saliva
British Library Online Contents | 2017| -
CT image biomarkers to improve patient-specific prediction of radiation-induced xerostomia and sticky saliva
British Library Online Contents | 2017| -
Selection of head and neck cancer patients for adaptive radiotherapy to decrease xerostomia
British Library Online Contents | 2016| -
Improving the prediction of overall survival for head and neck cancer patients using image biomarkers in combination with clinical parameters
British Library Online Contents | 2017| -
CT-based delineation of organs at risk in the head and neck region: DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG Oncology and TROG consensus guidelines
British Library Online Contents | 2015| -
CT-based delineation of organs at risk in the head and neck region: DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG Oncology and TROG consensus guidelines
British Library Online Contents | 2015|
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