Andreas Bartschat

13 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2021 J jnl
pyWATTS: Python Workflow Automation Tool for Time Series.
CoRR
Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
2020 J jnl
BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images.
Bioinform.
Tim Scherr, Karolin Streule, Andreas Bartschat, Moritz Böhland, Johannes Stegmaier, Markus Reischl, Véronique Orian-Rousseau, Ralf Mikut
2019 J jnl
Data mining tools.
WIREs Data Mining Knowl. Discov.
Andreas Bartschat, Markus Reischl, Ralf Mikut
2019 J jnl
Fuzzy tissue detection for real-time focal control in corneal confocal microscopy.
Autom.
Andreas Bartschat, Stephan Allgeier, Tim Scherr, Johannes Stegmaier, Sebastian Bohn, Klaus-Martin Reichert, Arjan Kuijper, Markus Reischl, Oliver Stachs, Bernd Köhler, Ralf Mikut
2019 J jnl
Motion prediction enables simulated MR-imaging of freely moving model organisms.
PLoS Comput. Biol.
Markus Reischl, Mazin Jouda, Neil MacKinnon, Erwin Fuhrer, Natalia Bakhtina, Andreas Bartschat, Ralf Mikut, Jan G. Korvink
2019 J jnl
Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization.
CoRR
Geoffroy Chaussonnet, Christian Lieber, Yikang Yan, Wenda Gu, Andreas Bartschat, Markus Reischl, Rainer Koch, Ralf Mikut, Hans-Jörg Bauer
2018 — conf
Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection.
ISBI
Johannes Stegmaier, Thiago Vallin Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha
2018 J jnl
Concept and benchmark results for Big Data energy forecasting based on Apache Spark.
J. Big Data
Jorge Ángel González Ordiano, Andreas Bartschat, Nicole Ludwig, Eric Braun, Simon Waczowicz, Nicolas Renkamp, Nico Peter, Clemens Düpmeier, Ralf Mikut, Veit Hagenmeyer
2018 J jnl
EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos.
PLoS Comput. Biol.
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
2018 J jnl
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer.
CoRR
Nadezhda Prodanova, Johannes Stegmaier, Stephan Allgeier, Sebastian Bohn, Oliver Stachs, Bernd Köhler, Ralf Mikut, Andreas Bartschat
2017 J jnl
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection.
CoRR
Johannes Stegmaier, Thiago Vallin Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha
2017 J jnl
The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide.
CoRR
Ralf Mikut, Andreas Bartschat, Wolfgang Doneit, Jorge Ángel González Ordiano, Benjamin Schott, Johannes Stegmaier, Simon Waczowicz, Markus Reischl
2016 J jnl
XPIWIT - an XML pipeline wrapper for the Insight Toolkit.
Bioinform.
Andreas Bartschat, Eduard Hübner, Markus Reischl, Ralf Mikut, Johannes Stegmaier