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Privacy: an institutional fact.. Ethics Inf. Technol., 18 (1): 59-64 (2016)The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification., , , , , , , , , и 35 other автор(ы). CoRR, (2021)Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge., , , , , , , , , и 41 other автор(ы). CoRR, (2018)The Federated Tumor Segmentation (FeTS) Challenge., , , , , , , , , и 22 other автор(ы). CoRR, (2021)Prevalence and predictors of alternative diagnoses on whole-leg ultrasound negative for acute deep venous thrombosis., , , , , , , и . BMC Medical Imaging, 20 (1): 127 (2020)Prevalence of visceral artery involvement in patients with peripheral artery disease found on run-off MRA., , , , , , , и . BMC Medical Imaging, 21 (1): 93 (2021)Predicting Future Bone Infiltration Patterns in Multiple Myeloma., , , , и . Patch-MI@MICCAI, том 11075 из Lecture Notes in Computer Science, стр. 76-84. Springer, (2018)Ethical and Privacy Aspects of Using Medical Image Data., , , , , , , и . 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., , , , , , , , , и 82 other автор(ы). CoRR, (2021)Datasets Created in VISCERAL., , , , , , , и . Cloud-Based Benchmarking of Medical Image Analysis, Springer, (2017)