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2020 – today
- 2024
[j5]Daniel Schirmacher
, Ümmünur Armagan, Yang Zhang, Tobias Kull, Markus Auler, Timm Schroeder:
aiSEGcell: User-friendly deep learning-based segmentation of nuclei in transmitted light images. PLoS Comput. Biol. 20(8): 1012361 (2024)- 2020
- [c2]Tingying Peng, Lorenz Lamm, Dirk Loeffler, Nouraiz Ahmed, Nassir Navab, Timm Schroeder, Carsten Marr:
Background and Illumination Correction for Time-Lapse Microscopy Data with Correlated Foreground. MICCAI (5) 2020: 174-183
2010 – 2019
- 2019
- [j4]Henrik Failmezger, Ezgi Dursun, Sebastian Dümcke, Max Endele, Don Poron, Timm Schroeder, Anne Krug, Achim Tresch:
Clustering of samples with a tree-shaped dependence structure, with an application to microscopic time lapse imaging. Bioinform. 35(13): 2291-2299 (2019) - 2017
- [j3]Oliver Hilsenbeck, Michael Schwarzfischer, Dirk Loeffler, Sotiris Dimopoulos, Simon Hastreiter, Carsten Marr, Fabian J. Theis, Timm Schroeder:
fastER: a user-friendly tool for ultrafast and robust cell segmentation in large-scale microscopy. Bioinform. 33(13): 2020-2028 (2017) - 2015
- [j2]Theresa Niederberger, Henrik Failmezger, Diana Uskat, Don Poron, Ingmar Glauche, Nico Scherf, Ingo Roeder, Timm Schroeder, Achim Tresch:
Factor graph analysis of live cell-imaging data reveals mechanisms of cell fate decisions. Bioinform. 31(11): 1816-1823 (2015) - 2014
- [c1]Valeriy Khakhutskyy, Michael Schwarzfischer, Nina C. Hubig, Claudia Plant, Carsten Marr, Michael A. Rieger, Timm Schroeder, Fabian J. Theis:
Centroid Clustering of Cellular Lineage Trees. ITBAM 2014: 15-29 - 2013
- [j1]Felix Buggenthin, Carsten Marr, Michael Schwarzfischer, Philipp S. Hoppe, Oliver Hilsenbeck, Timm Schroeder, Fabian J. Theis:
An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy. BMC Bioinform. 14: 297 (2013)
Coauthor Index
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