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We propose a fully-automated mitosis event detector using hidden conditional random fields for cell populations imaged with time-lapse phase contrast microscopy. The method consists of two stages that jointly optimize recall and precision. First, we apply model-based microscopy image preconditioning and volumetric segmentation to identify candidate spatiotemporal sub-regions in the input image sequence where mitosis potentially occurred. Then, we apply a learned hidden conditional random fielddoi:10.1109/isbi.2010.5490279 dblp:conf/isbi/LiuLK10 fatcat:s5k6bb7uhbclbjn3kpvoreob3a