| 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 | 23* | 2020 |
| Pax6 organizes the anterior eye segment by guiding two distinct neural crest waves M Takamiya, J Stegmaier, AY Kobitski, B Schott, BD Weger, D Margariti, ... PLoS genetics 16 (6), e1008774, 2020 | 14 | 2020 |
| Best Practices in Deep Learning-Based Segmentation of Microscopy Images T Scherr, A Bartschat, M Reischl, J Stegmaier, R Mikut Proceedings 28. Workshop Computational Intelligence, 175-195, 2018 | 11 | 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 | 6 | 2021 |
| BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images T Scherr, K Streule, A Bartschat, M Böhland, J Stegmaier, M Reischl, ... Bioinformatics 36 (17), 4668-4670, 2020 | 6 | 2020 |
| Influence of synthetic label image object properties on GAN supported segmentation pipelines M Böhland, T Scherr, A Bartschat, R Mikut, M Reischl Proceedings 29th Workshop Computational Intelligence, 289-305, 2019 | 5 | 2019 |
| On improving an already competitive segmentation algorithm for the Cell Tracking Challenge-lessons learned T Scherr, K Löffler, O Neumann, R Mikut bioRxiv, 2021 | 4 | 2021 |
| Gradient-Based Surface Reconstruction and the Application to Wind Waves T Scherr Ruprecht-Karls-University Heidelberg, Institute for Environmental Physics, 2017 | 4 | 2017 |
| Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis M Böhland, L Tharun, T Scherr, R Mikut, V Hagenmeyer, LDR Thompson, ... Plos one 16 (9), e0257635, 2021 | 3 | 2021 |
| Digitale Bildverarbeitung und Tiefe Neuronale Netze in der Augenheilkunde–aktuelle Trends A Bartschat, S Allgeier, S Bohn, T Scherr, D Blessing, KM Reichert, ... Klinische Monatsblätter für Augenheilkunde 236 (12), 1399-1406, 2019 | 3* | 2019 |
| KIT-Sch-GE (2) K Löffler, T Scherr Cell Tracking Challenge algorithm description, 2021 | 2 | 2021 |
| Segregation of Dispersed Silica Nanoparticles in Microfluidic Water‐in‐Oil Droplets: A Kinetic Study S Sheshachala, M Grösche, T Scherr, Y Hu, P Sun, A Bartschat, R Mikut, ... ChemPhysChem 21 (10), 1070-1078, 2020 | 2 | 2020 |
| Fuzzy tissue detection for real-time focal control in corneal confocal microscopy A Bartschat, S Allgeier, T Scherr, J Stegmaier, S Bohn, KM Reichert, ... at-Automatisierungstechnik 67 (10), 879-888, 2019 | 2 | 2019 |
| Automated annotator variability inspection for biomedical image segmentation MP Schilling, T Scherr, FR Münke, O Neumann, M Schutera, R Mikut, ... IEEE access 10, 2753-2765, 2022 | 1 | 2022 |
| Robustness of Deep Learning Architectures with Respect to Training Data Variation A Bartschat, T Unger, T Scherr, J Stegmaier, R Mikut, M Reischl Proceedings 28. Workshop Computational Intelligence, 129-138, 2018 | 1 | 2018 |
| ciscNet--A Single-Branch Cell Instance Segmentation and Classification Network M Böhland, O Neumann, MP Schilling, M Reischl, R Mikut, K Löffler, ... arXiv preprint arXiv:2202.13960, 2022 | | 2022 |
| microbeSEG: Accurate Cell Segmentation with OMERO Data Management T Scherr, J Seiffarth, B Wollenhaupt, O Neumann, MP Schilling, ... bioRxiv, 2022 | | 2022 |
Ralf MikutKarlsruhe Institute of Technology (Germany)Bestätigte E-Mail-Adresse bei kit.edu
