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  • L. Kostrykin and K. Rohr, “Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation using Deformable Shape Models,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45(3), pp. 3831–3847, 2023.
    • [ieeexplore]
    • [pdf]
    • [software]
    • [cite]
  • L. Kostrykin, “Globally Optimal Cell Segmentation using Shape and Intensity Information,” Doctoral Dissertation, Universitätsbibliothek Heidelberg, 2022.
    • [doi]
    • [pdf]
    • [cite]
  • L. Kostrykin and S. Harmeling, “Blindly Deconvolving Super-noisy Blurry Image Sequences,” arXiv preprint arXiv:2210.00252, 2022.
    • [arxiv]
    • [pdf]
    • [cite]
  • L. Kostrykin, C. Rohr, and K. Rohr, “Globally Optimal and Scalable Video Image Stitching for Robotic Inspection of Electric Generators,” in Proc. International Conference on Control, Automation and Systems (ICCAS 2021), Jeju-si, Jeju-do, Korea, October 12–15, ICROS Gangnam-gu, Seoul, pp. 1141–1145, 2021.
    • [ieeexplore]
    • [cite]
  • L. Kostrykin, C. Schnörr, and K. Rohr, “Globally Optimal Segmentation of Cell Nuclei in Fluorescence Microscopy Images using Shape and Intensity Information,” Medical Image Analysis, vol. 58, 101536, 2019.
    • [sciencedirect]
    • [pdf]
    • [cite]
  • L. Kostrykin, C. Schnörr, and K. Rohr, “Segmentation of Cell Nuclei using Intensity-based Model Fitting and Sequential Convex Programming,” in Proc. IEEE International Symposium on Biomedical Imaging (ISBI 2018), Washington, D.C., USA, April 4–7, IEEE Piscataway, NJ, pp. 654–657, 2018.
    • [ieeexplore]
    • [pdf]
    • [cite]
Dr. Leonid Kostrykin © 2020–2023
URL: https://kostrykin.com/publications/