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Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions., , , , and . J. Digit. Imaging, 30 (4): 449-459 (2017)Toward Data-Driven Learning Healthcare Systems in Interventional Radiology: Implementation to Evaluate Venous Stent Patency., , , , , , , , , and . J. Digit. Imaging, 33 (1): 25-36 (2020)Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning., , , , , , , and . CoRR, (2021)PlexusNet: A neural network architectural concept for medical image classification., , , , , , and . Comput. Biol. Medicine, (March 2023)BioPortal: A Web Repository for Biomedical Ontologies and Data Resources., , , , , , , , , and . ISWC (Posters & Demos), volume 401 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis., , , , , , , and . ICLR, OpenReview.net, (2022)Representing genetic sequence data for pharmacogenomics: an evolutionary approach using ontological and relational models., , , , and . ISMB, page 207-215. (2002)Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint., , , , , and . Comput. Biol. Medicine, (2014)The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions., , , , , , , , , and 2 other author(s). CoRR, (2020)Integrative Personal Omics Profiles during Periods of Weight Gain and Loss, , , , , , , , , and 24 other author(s). Cell Systems, 6 (2): 157 - 170.e8 (2018)