Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy T Scherr, K Löffler, M Böhland, R Mikut PLoS One 15 (12), e0243219, 2020 | 71 | 2020 |
The Cell Tracking Challenge: 10 years of objective benchmarking M Maška, V Ulman, P Delgado-Rodriguez, E Gómez-de-Mariscal, ... Nature Methods 20 (7), 1010-1020, 2023 | 49 | 2023 |
EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos B Schott, M Traub, C Schlagenhauf, M Takamiya, T Antritter, A Bartschat, ... PLOS Computational Biology 14 (4), e1006128, 2018 | 29 | 2018 |
A graph-based cell tracking algorithm with few manually tunable parameters and automated segmentation error correction K Löffler, T Scherr, R Mikut PloS one 16 (9), e0249257, 2021 | 28 | 2021 |
EmbedTrack—Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths K Löffler, R Mikut IEEE Access 10, 77147 - 77157, 2022 | 23 | 2022 |
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ... Medical image analysis 92, 103047, 2024 | 10 | 2024 |
On improving an already competitive segmentation algorithm for the Cell Tracking Challenge-lessons learned T Scherr, K Löffler, O Neumann, R Mikut bioRxiv, 2021.06. 26.450019, 2021 | 10 | 2021 |
Ciscnet-a single-branch cell nucleus instance segmentation and classification network M Böhland, O Neumann, MP Schilling, M Reischl, R Mikut, K Löffler, ... 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC), 1-5, 2022 | 8* | 2022 |
KIT-Sch-GE (2) K Löffler, T Scherr, R Mikut Cell Tracking Challenge algorithm description, 2021 | 5 | 2021 |
Cell segmentation and tracking using distance transform predictions and movement estimation with graph-based matching T Scherr, K Löffler, M Böhland, R Mikut arXiv preprint arXiv:2004.01486, 2020 | 4 | 2020 |
Simulation of Synthetically Degraded Tracking Data to Benchmark MOT Metrics M Hartmann, K Löffler, R Mikut PROCEEDINGS 32. WORKSHOP COMPUTATIONAL INTELLIGENCE 1, 163, 2022 | 1 | 2022 |
Unsupervised GAN epoch selection for biomedical data synthesis M Böhland, R Bruch, K Löffler, M Reischl Current Directions in Biomedical Engineering 9 (1), 467-470, 2023 | | 2023 |
Multiple Object Tracking in Light Microscopy Images Using Graph-based and Deep Learning Methods K Löffler Dissertation, Karlsruhe, Karlsruher Institut für Technologie (KIT), 2023, 2023 | | 2023 |
KIT-Loe-GE K Löffler, R Mikut | | |