Roman Bruch, M.Sc.

Roman Bruch, M.Sc.

  • Karlsruher Institut für Technologie (KIT)
    Institut für Automation und angewandte Informatik (IAI)
    Hermann-von-Helmholtz-Platz 1
    76344 Eggenstein-Leopoldshafen
    Fax: +49 721 608 22602
    Gebäude-Nr.: 445 / 449 / 668

Publikationen


2024
A spheroid whole mount drug testing pipeline with machine-learning based image analysis identifies cell-type specific differences in drug efficacy on a single-cell level
Vitacolonna, M.; Bruch, R.; Schneider, R.; Jabs, J.; Hafner, M.; Reischl, M.; Rudolf, R.
2024. BMC Cancer, 24 (1), Art.-Nr.: 1542. doi:10.1186/s12885-024-13329-9
From in vitro to in silico: a pipeline for generating virtual tissue simulations from real image data
Nürnberg, E.; Vitacolonna, M.; Bruch, R.; Reischl, M.; Rudolf, R.; Sauer, S.
2024. Frontiers in Molecular Biosciences, 11. doi:10.3389/fmolb.2024.1467366
Quantitative Analysis of Whole-Mount Fluorescence-Stained Tumor Spheroids in Phenotypic Drug Screens
Nuernberg, E.; Bruch, R.; Hafner, M.; Rudolf, R.; Vitacolonna, M.
2024. 3D Cell Culture. Ed.: Z. Sumbalova Koledova, 311–334, Springer US. doi:10.1007/978-1-0716-3674-9_20
A multiparametric analysis including single-cell and subcellular feature assessment reveals differential behavior of spheroid cultures on distinct ultra-low attachment plate types
Vitacolonna, M.; Bruch, R.; Agaçi, A.; Nürnberg, E.; Cesetti, T.; Keller, F.; Padovani, F.; Sauer, S.; Schmoller, K. M.; Reischl, M.; Hafner, M.; Rudolf, R.
2024. Frontiers in Bioengineering and Biotechnology, 12. doi:10.3389/fbioe.2024.1422235
2023
Unsupervised GAN epoch selection for biomedical data synthesis
Böhland, M.; Bruch, R.; Löffler, K.; Reischl, M.
2023. Current Directions in Biomedical Engineering, 9 (1), 467–470. doi:10.1515/cdbme-2023-1117
Mask R-CNN Outperforms U-Net in Instance Segmentation for Overlapping Cells
Rettenberger, L.; Münke, F. R.; Bruch, R.; Reischl, M.
2023. Current Directions in Biomedical Engineering, 9 (1), 335–338. doi:10.1515/cdbme-2023-1084
Improving generative adversarial networks for patch-based unpaired image-to-image translation
Böhland, M.; Bruch, R.; Bäuerle, S.; Rettenberger, L.; Reischl, M.
2023. IEEE Access, 11, 127895–127906. doi:10.1109/ACCESS.2023.3331819
Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking
Bruch, R.; Keller, F.; Böhland, M.; Vitacolonna, M.; Klinger, L.; Rudolf, R.; Reischl, M.
2023. PLOS ONE, 18 (3), Article no: e0283828. doi:10.1371/journal.pone.0283828
2022
Prediction of Fluorescent Ki67 Staining in 3D Tumor Spheroids
Bruch, R.; Vitacolonna, M.; Rudolf, R.; Reischl, M.
2022. Current Directions in Biomedical Engineering, 8 (2), 305–308. doi:10.1515/cdbme-2022-1078
2021
epiTracker: A Framework for Highly Reliable Particle Tracking for the Quantitative Analysis of Fish Movements in Tanks
Bruch, R.; Scheikl, P. M.; Mikut, R.; Loosli, F.; Reischl, M.
2021. SLAS technology, 26 (4), 367–376. doi:10.1177/2472630320977454
2020
Evaluation of semi-supervised learning using sparse labeling to segment cell nuclei
Bruch, R.; Rudolf, R.; Mikut, R.; Reischl, M.
2020. Current directions in biomedical engineering, 6 (3), Art.Nr. 20203103. doi:10.1515/cdbme-2020-3103
Evaluation of Semi-Supervised Learning Using Sparse Labeling to Segmet Cell Nuclei
Bruch, R.; Rudolf, R.; Mikut, R.; Reischl, M.
2020. 54th Annual Conference of the German Society for Biomedical Engineering (DGBMT 2020), Online, 29. September–1. Oktober 2020