| 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 | 75 | 2020 |
| 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 | 20 | 2021 |
| 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 | 16 | 2019 |
| 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 | 8 | 2024 |
| 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 |
| 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 | 7 | 2020 |
| Automated design process for hybrid regression modeling with a one-class SVM M Böhland, W Doneit, L Gröll, R Mikut, M Reischl at-Automatisierungstechnik 67 (10), 843-852, 2019 | 7 | 2019 |
| Self-supervised learning for annotation efficient biomedical image segmentation L Rettenberger, M Schilling, S Elser, M Böhland, M Reischl IEEE Transactions on Biomedical Engineering, 2023 | 6 | 2023 |
| Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking R Bruch, F Keller, M Böhland, M Vitacolonna, L Klinger, R Rudolf, ... Plos one 18 (3), e0283828, 2023 | 5 | 2023 |
| CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units: A transferable and automated approach for industrial use cases S Bäuerle, M Böhland, J Barth, M Reischl, A Steimer, R Mikut at-Automatisierungstechnik 69 (10), 880-891, 2021 | 3 | 2021 |
| Improving Generative Adversarial Networks for Patch-Based Unpaired Image-to-Image Translation M Böhland, R Bruch, S Bäuerle, L Rettenberger, M Reischl IEEE Access 11, 127895-127906, 2023 | | 2023 |
| 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 |
Ralf MikutKarlsruhe Institute of Technology (Germany)Verified email at kit.edu
