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Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT.

, , , , , , and . ML-CDS@MICCAI, volume 13050 of Lecture Notes in Computer Science, page 59-68. Springer, (2021)

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Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer., , , , , , and . PRIME@MICCAI, volume 12928 of Lecture Notes in Computer Science, page 147-156. Springer, (2021)Mechanistic Simulation of Tumor Response Outperforms Radiomics Predicting Recurrence in Prostate Cancer Radiotherapy., , , , , , , and . ISBI, page 1-4. IEEE, (2021)Predicting the impact of standard and hypofractionated schedules in prostate cancer radiotherapy with a mechanistic model., , , , , and . BHI, page 1-4. IEEE, (2022)Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT., , , , , , and . ML-CDS@MICCAI, volume 13050 of Lecture Notes in Computer Science, page 59-68. Springer, (2021)Towards a Reduced In Silico Model Predicting Biochemical Recurrence After Radiotherapy in Prostate Cancer., , , , , , , , and . IEEE Trans. Biomed. Eng., 68 (9): 2718-2729 (2021)Comparison of Machine Learning Algorithms and Oversampling Techniques for Urinary Toxicity Prediction After Prostate Cancer Radiotherapy., , , , , , , and . BIBE, page 964-971. IEEE, (2019)Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma., , , , , , and . EMBC, page 1667-1670. IEEE, (2020)Multiple Kernel Learning Applied to the Prediction of Prostate Cancer Recurrence from MRI Radiomic Features., , , , , and . BIBE, page 984-988. IEEE, (2019)