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CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images

, , , , , , , and . BMC bioinformatics, 23 (1): 1--17 (2022)

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Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection., , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 726-740. PMLR, (2022)CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images, , , , , , , and . BMC bioinformatics, 23 (1): 1--17 (2022)S3-CIMA: Supervised spatial single-cell image analysis for identifying disease-associated cell-type compositions in tissue., , , , , , , and . Patterns, 4 (9): 100829 (September 2023)CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images., , , , , , , and . BMC Bioinform., 23 (1): 46 (2022)A review on deep learning applications in highly multiplexed tissue imaging data analysis., , , , , , and . Frontiers Bioinform., (May 2023)Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples., , and . CoRR, (2023)Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images., , , , and . CoRR, (2023)