| Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information L Kostrykin, C Schnörr, K Rohr Medical image analysis 58, 101536, 2019 | 14 | 2019 |
| Superadditivity and convex optimization for globally optimal cell segmentation using deformable shape models L Kostrykin, K Rohr IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3831-3847, 2022 | 7 | 2022 |
| Segmentation of cell nuclei using intensity-based model fitting and sequential convex programming L Kostrykin, C Schnörr, K Rohr 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 7 | 2018 |
| Globally Optimal and Scalable Video Image Stitching for Robotic Visual Inspection of Electric Generators L Kostrykin, C Rohr, K Rohr 2021 21st International Conference on Control, Automation and Systems (ICCAS …, 2021 | 1 | 2021 |
| Enhancing the image analysis community in Galaxy L Kostrykin, T Woller, M Kalaš, B Özdemir, RA Buono, Y Sun, A Kumar, ... OSF, 2024 | | 2024 |
| Blindly Deconvolving Super-noisy Blurry Image Sequences L Kostrykin, S Harmeling arXiv preprint arXiv:2210.00252, 2022 | | 2022 |
| Globally optimal cell segmentation using shape and intensity information L Kostrykin | | 2022 |
Karl RohrUniversity of Heidelberg, DKFZ HeidelbergBestätigte E-Mail-Adresse bei dkfz.de
