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Supervised machine learning for region assignment of zebrafish brain nuclei based on computational assessment of cell neighborhoods., , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113170T. SPIE, (2020)SHIRAZ: an automated histology image annotation system for zebrafish phenomics., , , and . Multim. Tools Appl., 51 (2): 401-440 (2011)SHIRAZ and CABERNET: Leveraging Automation, Crowdsourcing, and Ontologies to Improve the Accuracy and Throughput of Zebrafish Histological Phenotype Annotations., , , , and . ICBO, volume 833 of CEUR Workshop Proceedings, CEUR-WS.org, (2011)A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis., , , , , and . MICCAI (8), volume 12908 of Lecture Notes in Computer Science, page 613-623. Springer, (2021)Sinogram domain angular upsampling of sparse-view micro-CT with dense residual hierarchical transformer and attention-weighted loss., , , , and . Comput. Methods Programs Biomed., (December 2023)Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification., , , , , , , , , and . CoRR, (2021)Zebrafish Histotomography Noise Removal In Projection And Reconstruction Domains., , , , and . ISBI, page 140-144. IEEE, (2021)Automatic lattice detection in near-regular histology array images., , , , and . ICIP, page 1452-1455. IEEE, (2008)Towards efficient automated characterization of irregular histology images via transformation to frieze-like patterns., , , , and . CIVR, page 581-590. ACM, (2008)An Ontology-Based Approach to Linking Model Organisms and Resources to Human Diseases., , , , , , , , , and 12 other author(s). ICBO, volume 833 of CEUR Workshop Proceedings, CEUR-WS.org, (2011)