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Reconstruction of Cellular Biological Structures from Optical Microscopy Data., , , , , , and . IEEE Trans. Vis. Comput. Graph., 14 (4): 863-876 (2008)Optimizing latency and throughput of application workflows on clusters., , , , and . Parallel Comput., 37 (10-11): 694-712 (2011)Performance Effects of Irregular Communication Patterns on Massively Parallel Multiprocessors., , , and . J. Parallel Distributed Comput., 13 (2): 202-212 (1991)Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation., , , , , and . Pattern Recognit., 42 (6): 1080-1092 (2009)Exploiting Parallelism on Irregular Applications Using the GPU., and . PARCO, volume 33 of John von Neumann Institute for Computing Series, page 639-646. Central Institute for Applied Mathematics, Jülich, Germany, (2005)Halcyon - A Pathology Imaging and Feature analysis and Management System., , , , , and . CoRR, (2023)Tuning for Tissue Image Segmentation Workflows for Accuracy and Performance., , , , , , and . CoRR, (2018)Sensitivity analysis in digital pathology: Handling large number of parameters with compute expensive workflows., , , , , , and . Comput. Biol. Medicine, (2019)Scalable analysis of Big pathology image data cohorts using efficient methods and high-performance computing strategies., , , , , , , , , and . BMC Bioinform., (2015)Identifying risk of opioid use disorder for patients taking opioid medications with deep learning., , , , , , , , and . J. Am. Medical Informatics Assoc., 28 (8): 1683-1693 (2021)