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Computational Methods for Visualization, Simulation, and Restoration of Fluorescence Microscopy Data. University of Dresden, Germany, (2018)base-search.net (fttudresden:oai:qucosa:de:qucosa:36173).Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasets., , , , и . CoRR, (2023)Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy., , , , и . WACV, стр. 3655-3662. IEEE, (2020)Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy., , , , и . CoRR, (2019)CenFind: a deep-learning pipeline for efficient centriole detection in microscopy datasets., , , , , , и . BMC Bioinform., 24 (1): 120 (декабря 2023)Biobeam - Multiplexed wave-optical simulations of light-sheet microscopy., , , , и . PLoS Comput. Biol., (2018)Fast and accurate aberration estimation from 3D bead images using convolutional neural networks., , , , , , , , и . CoRR, (2020)CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting., , , , , , , , , и 79 other автор(ы). CoRR, (2023)Removing Structured Noise with Self-Supervised Blind-Spot Networks., , , , и . ISBI, стр. 159-163. IEEE, (2020)CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting., , , , , , , , , и 25 other автор(ы). Medical Image Anal., (февраля 2024)