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2020 – today
- 2021
[i5]Benedikt Heidrich, Andreas Bartschat, Marian Turowski
, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer:
pyWATTS: Python Workflow Automation Tool for Time Series. CoRR abs/2106.10157 (2021)- 2020
- [j7]Tim Scherr, Karolin Streule, Andreas Bartschat, Moritz Böhland, Johannes Stegmaier, Markus Reischl, Véronique Orian-Rousseau, Ralf Mikut:
BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images. Bioinform. 36(17): 4668-4670 (2020)
2010 – 2019
- 2019
- [j6]Andreas Bartschat, Stephan Allgeier, Tim Scherr, Johannes Stegmaier, Sebastian Bohn, Klaus-Martin Reichert, Arjan Kuijper, Markus Reischl, Oliver Stachs, Bernd Köhler, Ralf Mikut:
Fuzzy tissue detection for real-time focal control in corneal confocal microscopy. Autom. 67(10): 879-888 (2019) - [j5]Markus Reischl, Mazin Jouda, Neil MacKinnon, Erwin Fuhrer, Natalia Bakhtina, Andreas Bartschat, Ralf Mikut, Jan G. Korvink:
Motion prediction enables simulated MR-imaging of freely moving model organisms. PLoS Comput. Biol. 15(12) (2019) - [j4]Andreas Bartschat, Markus Reischl, Ralf Mikut:
Data mining tools. WIREs Data Mining Knowl. Discov. 9(4) (2019) - [i4]Geoffroy Chaussonnet, Christian Lieber, Yikang Yan, Wenda Gu, Andreas Bartschat, Markus Reischl, Rainer Koch, Ralf Mikut, Hans-Jörg Bauer:
Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization. CoRR abs/1910.11073 (2019) - 2018
- [j3]Jorge Ángel González Ordiano, Andreas Bartschat, Nicole Ludwig, Eric Braun, Simon Waczowicz, Nicolas Renkamp, Nico Peter, Clemens Düpmeier, Ralf Mikut, Veit Hagenmeyer:
Concept and benchmark results for Big Data energy forecasting based on Apache Spark. J. Big Data 5: 11 (2018) - [j2]Benjamin Schott, Manuel Traub, Cornelia Schlagenhauf, Masanari Takamiya, Thomas Antritter, Andreas Bartschat, Katharina Löffler, Denis Blessing, Jens C. Otte, Andrei Kobitski, G. Ulrich Nienhaus, Uwe Strähle, Ralf Mikut, Johannes Stegmaier:
EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos. PLoS Comput. Biol. 14(4) (2018) - [c1]Johannes Stegmaier, Thiago Vallin Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha:
Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection. ISBI 2018: 382-386 - [i3]Nadezhda Prodanova, Johannes Stegmaier, Stephan Allgeier, Sebastian Bohn, Oliver Stachs, Bernd Köhler, Ralf Mikut, Andreas Bartschat:
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer. CoRR abs/1806.07073 (2018) - 2017
- [i2]Ralf Mikut, Andreas Bartschat, Wolfgang Doneit, Jorge Ángel González Ordiano, Benjamin Schott, Johannes Stegmaier, Simon Waczowicz, Markus Reischl:
The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide. CoRR abs/1704.03298 (2017) - [i1]Johannes Stegmaier, Thiago Vallin Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha:
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection. CoRR abs/1710.06608 (2017) - 2016
- [j1]Andreas Bartschat, Eduard Hübner, Markus Reischl, Ralf Mikut, Johannes Stegmaier:
XPIWIT - an XML pipeline wrapper for the Insight Toolkit. Bioinform. 32(2): 315-317 (2016)
Coauthor Index
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