| 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 | 17 | 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 | 6 | 2021 |
| Evaluation of Features for Change Detection in Unstructured Image Data FR Münke, A Bartschat, Y Chen, R Mikut, M Reischl Proc. 29. Workshop Computational Intelligence, 2019 | 2 | 2019 |
| 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 | 1 | 2023 |
| A review of adaptable conventional image processing pipelines and deep learning on limited datasets FR Münke, J Schützke, F Berens, M Reischl Machine Vision and Applications 35 (2), 25, 2024 | | 2024 |
| Accelerating Materials Discovery: Automated Identification of Prospects from X‐Ray Diffraction Data in Fast Screening Experiments J Schuetzke, S Schweidler, FR Muenke, A Orth, AD Khandelwal, ... Advanced Intelligent Systems 6 (3), 2300501, 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 |
| Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten FR Münke, MP Schilling, R Mikut, M Reischl at-Automatisierungstechnik 69 (10), 892-902, 2021 | | 2021 |
| Evaluating features to represent changes in unstructured image data FR Muenke, MP Schilling, R Mikut, M Reischl AT-AUTOMATISIERUNGSTECHNIK 69 (10), 892-902, 2021 | | 2021 |
| A Lightweight Framework for Semantic Segmentation of Biomedical Images FR Münke, L Rettenberger, A Popova, M Reischl | | |
Markus ReischlKarlsruhe Institute of TechnologyVerified email at kit.edu
