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CHOTA: A Higher Order Accuracy Metric for Cell Tracking

, , and . European Conference on Computer Vision Workshops (ECCVW), (October 2024)

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CHOTA: A Higher Order Accuracy Metric for Cell Tracking., , and . ECCV Workshops (16), volume 15638 of Lecture Notes in Computer Science, page 122-138. Springer, (2024)SAMJ: Fast Image Annotation on ImageJ/Fiji via Segment Anything Model., , , , , , , , , and 2 other author(s). CoRR, (June 2025)On proper simulation of phenomena influencing image formation in fluorescence microscopy., , , , , and . ICIP, page 3944-3948. IEEE, (2014)On generating ground-truth time-lapse image sequences and flow fields., and . ICINCO-RA (1), page 234-239. INSTICC Press, (2007)Estimating large local motion in live-cell imaging using variational optical flow - towards motion tracking in live cell imaging using optical flow., , and . VISAPP (2), page 542-548. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2007)TRAgen: A Tool for Generation of Synthetic Time-Lapse Image Sequences of Living Cells., , and . ICIAP (1), volume 9279 of Lecture Notes in Computer Science, page 623-634. Springer, (2015)Pseudo-real Image Sequence Generator for Optical Flow Computations., and . SCIA, volume 4522 of Lecture Notes in Computer Science, page 976-985. Springer, (2007)Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy., and . ICIAR (2), volume 7325 of Lecture Notes in Computer Science, page 473-482. Springer, (2012)MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy., and . IEEE Trans. Med. Imaging, 36 (1): 310-321 (2017)CHOTA: A Higher Order Accuracy Metric for Cell Tracking, , and . European Conference on Computer Vision Workshops (ECCVW), (October 2024)