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Deformable Object Tracking: A Kernel Density Estimation Approach Via Level Set Function Evolution.

, and . PReMI, volume 4815 of Lecture Notes in Computer Science, page 624-631. Springer, (2007)

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Counting cells from microscopy videos without tracking individual cells., , and . ISBI, page 465-468. IEEE, (2014)River Ice Segmentation with Deep Learning., , , and . CoRR, (2019)Animal Detection in Man-made Environments., , , , , and . WACV, page 1427-1438. IEEE, (2020)Registering sequences of in vivo microscopy images for cell tracking using dynamic programming and minimum spanning trees., , , and . ICIP, page 3547-3551. IEEE, (2014)A two-stage minimum spanning tree (MST) based clustering algorithm for 2D deformable registration of time sequenced images., , , and . ICIP, page 1472-1476. IEEE, (2017)Self-dual inclusion filters for grayscale imagery., and . ICIP (1), page 321-324. IEEE, (2003)Tracking multiple cells by correspondence resolution in a sequential Bayesian framework., , and . ICIP (1), page 705-708. IEEE, (2005)Training Convolutional Neural Networks and Compressed Sensing End-to-End for Microscopy Cell Detection., , , and . IEEE Trans. Med. Imaging, 38 (11): 2632-2641 (2019)Data acceptance for automated leukocyte tracking through segmentation of spatiotemporal images., and . IEEE Trans. Biomed. Eng., 52 (10): 1702-1712 (2005)End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation., and . MIDL, volume 121 of Proceedings of Machine Learning Research, page 555-569. PMLR, (2020)