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Privacy: an institutional fact.. Ethics Inf. Technol., 18 (1): 59-64 (2016)The Federated Tumor Segmentation (FeTS) Challenge., , , , , , , , , and 22 other author(s). CoRR, (2021)The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification., , , , , , , , , and 35 other author(s). CoRR, (2021)Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge., , , , , , , , , and 41 other author(s). CoRR, (2018)Prevalence and predictors of alternative diagnoses on whole-leg ultrasound negative for acute deep venous thrombosis., , , , , , , and . BMC Medical Imaging, 20 (1): 127 (2020)Prevalence of visceral artery involvement in patients with peripheral artery disease found on run-off MRA., , , , , , , and . BMC Medical Imaging, 21 (1): 93 (2021)Predicting Future Bone Infiltration Patterns in Multiple Myeloma., , , , and . Patch-MI@MICCAI, volume 11075 of Lecture Notes in Computer Science, page 76-84. Springer, (2018)Ethical and Privacy Aspects of Using Medical Image Data., , , , , , , and . Cloud-Based Benchmarking of Medical Image Analysis, Springer, (2017)QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results., , , , , , , , , and 82 other author(s). CoRR, (2021)Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates., , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 341-348. Springer, (2017)