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Feasibility of CT-Only 3D Dose Prediction for VMAT Prostate Plans Using Deep Learning., , , , and . AIRT@MICCAI, volume 11850 of Lecture Notes in Computer Science, page 10-17. Springer, (2019)Learning from Mistakes: An Error-Driven Mechanism to Improve Segmentation Performance Based on Expert Feedback., , , , , , and . CLIP/DCL/LL-COVID19/PPML@MICCAI, volume 12969 of Lecture Notes in Computer Science, page 68-77. Springer, (2021)Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , and 30 other author(s). CoRR, (2020)Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients., , , , , , , , , and 12 other author(s). CoRR, (2020)Clinical Implementation of DeepVoxNet for Auto-Delineation of Organs at Risk in Head and Neck Cancer Patients in Radiotherapy., , , , , , , , and . OR 2.0/CARE/CLIP/ISIC@MICCAI, volume 11041 of Lecture Notes in Computer Science, page 223-232. Springer, (2018)OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines., , , , , , , , , and 49 other author(s). CoRR, (2022)