Andreas Bartschat
Andreas Bartschat
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Zitiert von
Zitiert von
Fast segmentation of stained nuclei in terabyte-scale, time resolved 3D microscopy image stacks
J Stegmaier, JC Otte, A Kobitski, A Bartschat, A Garcia, GU Nienhaus, ...
PloS one 9 (2), e90036, 2014
Cellular in vivo 3D imaging of the cornea by confocal laser scanning microscopy
S Bohn, K Sperlich, S Allgeier, A Bartschat, R Prakasam, KM Reichert, ...
Biomedical optics express 9 (6), 2511-2525, 2018
XPIWIT—an XML pipeline wrapper for the Insight Toolkit
A Bartschat, E Hübner, M Reischl, R Mikut, J Stegmaier
Bioinformatics 32 (2), 315-317, 2015
Data mining tools
A Bartschat, M Reischl, R Mikut
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1309, 2019
3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus
S Allgeier, A Bartschat, S Bohn, S Peschel, KM Reichert, K Sperlich, ...
Scientific reports 8 (1), 7468, 2018
The MATLAB toolbox SciXMiner: User's manual and programmer's guide
R Mikut, A Bartschat, W Doneit, JÁG Ordiano, B Schott, J Stegmaier, ...
arXiv preprint arXiv:1704.03298, 2017
EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos
B Schott, M Traub, C Schlagenhauf, M Takamiya, T Antritter, A Bartschat, ...
PLOS Computational Biology 14 (4), e1006128, 2018
Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection
J Stegmaier, TV Spina, AX Falcao, A Bartschat, R Mikut, E Meyerowitz, ...
2018 IEEE 15th International symposium on biomedical imaging (ISBI 2018 …, 2018
pyWATTS: Python workflow automation tool for time series
B Heidrich, A Bartschat, M Turowski, O Neumann, K Phipps, ...
arXiv preprint arXiv:2106.10157, 2021
Inherently UV photodegradable poly (methacrylate) gels
JM Scheiger, S Li, M Brehm, A Bartschat, P Theato, PA Levkin
Advanced Functional Materials 31 (49), 2105681, 2021
Concept and benchmark results for Big Data energy forecasting based on Apache Spark
JÁ González Ordiano, A Bartschat, N Ludwig, E Braun, S Waczowicz, ...
Journal of Big Data 5, 1-11, 2018
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
Best practices in deep learning-based segmentation of microscopy images
T Scherr, A Bartschat, M Reischl, J Stegmaier, R Mikut
KIT Scientific Publishing, 2018
Parkinson’s disease with restless legs syndrome—an in vivo corneal confocal microscopy study
M Andréasson, N Lagali, RA Badian, TP Utheim, F Scarpa, A Colonna, ...
npj Parkinson's Disease 7 (1), 4, 2021
Burst of corneal dendritic cells during trastuzumab and paclitaxel treatment
KA Sterenczak, N Stache, S Bohn, S Allgeier, B Köhler, A Bartschat, ...
Diagnostics 11 (5), 838, 2021
Wide-field mosaics of the corneal subbasal nerve plexus in Parkinson’s disease using in vivo confocal microscopy
RA Badian, S Allgeier, F Scarpa, M Andréasson, A Bartschat, R Mikut, ...
Scientific data 8 (1), 306, 2021
Towards deepspray: Using convolutional neural network to post-process shadowgraphy images of liquid atomization
G Chaussonnet, C Lieber, Y Yikang, W Gu, A Bartschat, M Reischl, ...
arXiv preprint arXiv:1910.11073, 2019
Automatic corneal tissue classification using bag-of visual-words approaches
A Bartschat, L Toso, J Stegmaier, A Kuijper, R Mikut, B Köhler, S Allgeier
Forum Bildverarbeitung 2016 84 (7-8), 245, 2016
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
In vivo monitoring of corneal dendritic cells in the subbasal nerve plexus during trastuzumab and paclitaxel breast cancer therapy—a one-year follow-up
S Bohn, N Stache, K Sperlich, S Allgeier, B Köhler, A Bartschat, HV Do, ...
Diagnostics 12 (5), 1180, 2022
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