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Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification.

, , , , , , , and . Nat. Mach. Intell., 4 (4): 401-412 (2022)

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Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification., , , , , , , and . Nat. Mach. Intell., 4 (4): 401-412 (2022)The Use of Informatics to Reduce Disparities in Transgender Health., , , and . AMIA, AMIA, (2017)Segmentation of Brain Tumors Using DeepLabv3+., , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 154-167. Springer, (2018)3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices., , , , , , , , and . J. Digit. Imaging, 34 (5): 1199-1208 (2021)Automated Identification of Families in Electronic Health Records to Support Clinical Research., , , , , , , , , and 3 other author(s). CRI, AMIA, (2017)Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification., , , , , , and . Comput. Biol. Medicine, (2020)Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories., , , and . CoRR, (2017)Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study., , , , , and . SoCG, volume 164 of LIPIcs, page 11:1-11:20. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)Using model classifications as quantitative traits to estimate stroke heritability., , , , , , , , , and . AMIA, AMIA, (2018)Deep recurrent neural networks identify transgender patients., , , and . AMIA, AMIA, (2017)