Leonid Kostrykin is a postdoctral researcher at Heidelberg University, interested in computer graphics, computer vision, and image processing. His main research interests are globally optimal methods for computer vision and image processing.
Projects and Affiliations
Biomedical Computer Vision Group,
- Research Fellow, PhD Student (2016–2022),
- Postdoctoral Researcher (2022–present).
- Pattern Recognition and Image Analysis for Visual Inspection of Electric Generators (2019–present)
- Globally Optimal Cell Segmentation using Shape and Intensity Information (2016–present)
- Master's Student (2013–2016).
Master's Project: Blind Deconvolution of Noisy Image Sequences
University of Applied Sciences Aachen,
- Undergraduate Student (2010–2013).
Thesis: Virtual Coronary Angiography based on CT Data
- International Conference on Control, Automation and Systems: Globally Optimal and Scalable Video Image Stitching for Robotic Inspection of Electric Generators. L. Kostrykin, Oct 2021.
- IEEE International Symposium on Biomedical Imaging: Segmentation of Cell Nuclei using Intensity-based Model Fitting and Sequential Convex Programming. L. Kostrykin, Apr 2018.
- Annual Organization and Supervision of Python Programming Classes for Undergraduate Students of Molecular Biotechnology (2020–present).
- Teacher de.NBI Training Course “Microscopy Image Analysis 2019,” de.NBI Project, HD-HuB (2019).
- Annual Supervision of Java Programming Classes for Undergraduate Students of Molecular Biotechnology (2017–2019).