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Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences.

, , , , , and . IEEE Trans. Medical Imaging, 34 (6): 1336-1348 (2015)

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A framework for generating realistic synthetic sequences of total internal reflection fluorescence microscopy images., , , , , , and . ISBI, page 157-160. IEEE, (2013)A Multiple Model Probability Hypothesis Density Tracker for Time-Lapse Cell Microscopy Sequences., , , , , and . IPMI, volume 7917 of Lecture Notes in Computer Science, page 110-122. Springer, (2013)Application of the IMM-JPDA Filter to Multiple Target Tracking in Total Internal Reflection Fluorescence Microscopy Images., , , , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 357-364. Springer, (2012)Employing temporal information for cell segmentation using max-flow/min-cut in phase-contrast video microscopy., , , and . EMBC, page 5985-5988. IEEE, (2011)Recognizing objects on cluttered backgrounds., and . Pattern Recognit. Lett., 26 (10): 1512-1524 (2005)Automatic identification of fusion events in TIRF microscopy image sequences., , , , , , and . ICCV Workshops, page 578-584. IEEE Computer Society, (2009)Towards fully automated identification of vesicle-membrane fusion events in TIRF microscopy., , , , and . Int. J. Comput. Aided Eng. Technol., 1 (4): 502-515 (2009)Insect Soup Challenge: Segmentation, Counting, and Simple Classification.. ICCV Workshops, page 168-171. IEEE Computer Society, (2013)Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences., , , , , and . IEEE Trans. Medical Imaging, 34 (6): 1336-1348 (2015)Image Categorization Using Local Probabilistic Descriptors., , and . ICPR (2), page 336-340. IEEE Computer Society, (2006)