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BioImage Model Zoo: A Community-Driven Resource for Accessible Deep Learning in BioImage Analysis

W. Ouyang, F. Beuttenmueller, E. Gómez-de Mariscal, C. Pape, T. Burke, C. Garcia-López-de Haro, C. Russell, L. Moya-Sans, C. de-la Torre-Gutiérrez, D. Schmidt, D. Kutra, M. Novikov, M. Weigert, U. Schmidt, P. Bankhead, G. Jacquemet, D. Sage, R. Henriques, A. Muñoz-Barrutia, E. Lundberg, F. Jug, and A. Kreshuk. bioRxiv, (2022)
DOI: 10.1101/2022.06.07.495102

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Content-Aware Image Restoration: Pushing the Limits of Fluorescence MicroscopyM. Weigert, U. Schmidt, T. Boothe, A. Müller, A. Dibrov, A. Jain, B. Wilhelm, D. Schmidt, C. Broaddus, S. Culley and 11 other author(s). Nature Methods, 15 (12): 1090--1097 (2018)CLIJ: GPU-accelerated image processing for everyoneR. Haase, L. Royer, P. Steinbach, D. Schmidt, A. Dibrov, U. Schmidt, M. Weigert, N. Maghelli, P. Tomancak, F. Jug and 1 other author(s). Nature Methods, 17 (1): 5--6 (2020)3D FIB-SEM reconstruction of microtubule--organelle interaction in whole primary mouse $\beta$ cellsA. Müller, D. Schmidt, C. Xu, S. Pang, J. D’Costa, S. Kretschmar, C. Münster, T. Kurth, F. Jug, M. Weigert and 2 other author(s). JCB, (2021)CLIJ: GPU-accelerated image processing for everyoneR. Haase, L. Royer, P. Steinbach, D. Schmidt, A. Dibrov, U. Schmidt, M. Weigert, N. Maghelli, P. Tomancak, F. Jug and 1 other author(s). Nature methods, 17 (1): 5--6 (2020)LABKIT: labeling and segmentation toolkit for big image dataM. Arzt, J. Deschamps, C. Schmied, T. Pietzsch, D. Schmidt, P. Tomancak, R. Haase, and F. Jug. Frontiers in computer science, (2022)Modular segmentation, spatial analysis and visualization of volume electron microscopy datasetsA. Müller, D. Schmidt, {. Albrecht, L. Rieckert, M. Otto, {. Galicia Garcia, G. Fabig, M. Solimena, and M. Weigert. Nature protocols, 19 (5): 1436--1466 (May 2024)Publisher Copyright: © Springer Nature Limited 2024..Organelle-specific segmentation, spatial analysis, and visualization of volume electron microscopy datasetsA. Müller, D. Schmidt, L. Rieckert, M. Solimena, and M. Weigert. arXiv preprint arXiv:2303.03876, (2023)BioImage Model Zoo: A Community-Driven Resource for Accessible Deep Learning in BioImage AnalysisW. Ouyang, F. Beuttenmueller, E. Gómez-de Mariscal, C. Pape, T. Burke, C. Garcia-López-de Haro, C. Russell, L. Moya-Sans, C. de-la Torre-Gutiérrez, D. Schmidt and 12 other author(s). bioRxiv, (2022)Modular segmentation, spatial analysis and visualization of volume electron microscopy datasetsA. Müller, D. Schmidt, J. Albrecht, L. Rieckert, M. Otto, L. Galicia Garcia, G. Fabig, M. Solimena, and M. Weigert. Nature Protocols, (2024)

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Disambiguation of "Schmidt, Deborah"

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BioImage Model Zoo: A Community-Driven Resource for Accessible Deep Learning in BioImage Analysis

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML BioImage Model Zoo: A Community-Driven Resource for Accessible Deep Learning in BioImage Analysis

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BioImage Model Zoo: A Community-Driven Resource for Accessible Deep Learning in BioImage Analysis