| Self-supervised learning for annotation efficient biomedical image segmentation L Rettenberger, M Schilling, S Elser, M Böhland, M Reischl IEEE Transactions on Biomedical Engineering 70 (9), 2519-2528, 2023 | 15 | 2023 |
| A purely visual re-id approach for bumblebees (Bombus terrestris) P Borlinghaus, F Tausch, L Rettenberger Smart Agricultural Technology 3, 100135, 2023 | 15 | 2023 |
| Entomoscope: an open-source photomicroscope for biodiversity discovery L Wührl, L Rettenberger, R Meier, E Hartop, J Graf, C Pylatiuk IEEE Access, 2024 | 12 | 2024 |
| Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels M Schutera, L Rettenberger, C Pylatiuk, M Reischl Plos one 17 (2), e0263656, 2022 | 9 | 2022 |
| Label assistant: A workflow for assisted data annotation in image segmentation tasks MP Schilling, L Rettenberger, F Münke, H Cui, AA Popova, PA Levkin, ... Proceedings—31. Workshop Computational Intelligence, 211-234, 2021 | 8 | 2021 |
| Assessing Political Bias in Large Language Models L Rettenberger, M Reischl, M Schutera arXiv preprint arXiv:2405.13041, 2024 | 4 | 2024 |
| Annotation efforts in image segmentation can be reduced by neural network bootstrapping L Rettenberger, M Schilling, M Reischl Current Directions in Biomedical Engineering 8 (2), 329-332, 2022 | 4 | 2022 |
| Impact of annotation noise on histopathology nucleus segmentation MP Schilling, N Ahuja, L Rettenberger, T Scherr, M Reischl Current Directions in Biomedical Engineering 8 (2), 197-200, 2022 | 4 | 2022 |
| Uncertainty-aware particle segmentation for electron microscopy at varied length scales L Rettenberger, NJ Szymanski, Y Zeng, J Schuetzke, S Wang, G Ceder, ... npj Computational Materials 10 (1), 124, 2024 | 3 | 2024 |
| Mask r-cnn outperforms u-net in instance segmentation for overlapping cells L Rettenberger, F Rieken Münke, R Bruch, M Reischl Current Directions in Biomedical Engineering 9 (1), 335-338, 2023 | 3 | 2023 |
| Fault Detection in 3D-Printing with Deep Learning L Rettenberger, N Beyer, I Sieber, M Reischl 2024 IEEE International Conference on Consumer Electronics (ICCE), 1-4, 2024 | 2 | 2024 |
| Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning M Polomoshnov, KM Reichert, L Rettenberger, M Ungerer, ... Journal of Intelligent Manufacturing, 1-18, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| Using Large Language Models for Extracting Structured Information From Scientific Texts L Rettenberger, MF Münker, M Schutera, CM Niemeyer, KS Rabe, ... Current Directions in Biomedical Engineering 10 (4), 526-529, 2024 | | 2024 |
| A Lightweight Framework for Semantic Segmentation of Biomedical Images F Rieken Münke, L Rettenberger, A Popova, M Reischl Current Directions in Biomedical Engineering 9 (1), 190-193, 2023 | | 2023 |
| Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and Now M Schutera, L Rettenberger, M Reischl Zebrafish 19 (6), 213-217, 2022 | | 2022 |
| How automation, machine learning, and DNA barcoding can accelerate species discovery in “dark taxa”: Robotics and AI L Wührl, C Pylatiuk, L Rettenberger, R Meier 26th International Congress of Entomology (2022), Helsinki, Finnland, 17.07 …, 2022 | | 2022 |
| A Purely Visual Re-ID Approach for Bumblebees (Bombus terrestris) F Tausch, P Borlinghaus, L Rettenberger, M Reischl IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022 …, 2022 | | 2022 |
Markus ReischlKarlsruhe Institute of Technology確認したメール アドレス: kit.edu
