XPIWIT - an XML pipeline wrapper for the Insight Toolkit. - Andreas Bartschat; Eduard Hübner; Markus Reischl; Ralf Mikut; Johannes Stegmaier (Bioinform., 2016)

The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide. - Ralf Mikut; Andreas Bartschat; Wolfgang Doneit 001; Jorge Ángel González Ordiano; Benjamin Schott; Johannes Stegmaier; Simon Waczowicz; Markus Reischl (CoRR, 2017)

Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection. - Johannes Stegmaier; Thiago Vallin Spina; Alexandre X. Falcão; Andreas Bartschat; Ralf Mikut; Elliot Meyerowitz; Alexandre Cunha (ISBI, 2018)

Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer. - Nadezhda Prodanova; Johannes Stegmaier; Stephan Allgeier; Sebastian Bohn; Oliver Stachs; Bernd Köhler; Ralf Mikut; Andreas Bartschat (CoRR, 2018)

Concept and benchmark results for Big Data energy forecasting based on Apache Spark. - Jorge Ángel González Ordiano; Andreas Bartschat; Nicole Ludwig 002; Eric Braun; Simon Waczowicz; Nicolas Renkamp; Nico Peter; Clemens Düpmeier; Ralf Mikut; Veit Hagenmeyer (J. Big Data, 2018)

EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos. - 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; et al. (PLoS Comput. Biol., 2018)

Fuzzy tissue detection for real-time focal control in corneal confocal microscopy. - Andreas Bartschat; Stephan Allgeier; Tim Scherr; Johannes Stegmaier; Sebastian Bohn; Klaus-Martin Reichert; Arjan Kuijper; Markus Reischl; Oliver Stachs; Bernd Köhler; Ralf Mikut (Autom., 2019)

Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization. - Geoffroy Chaussonnet; Christian Lieber; Yikang Yan; Wenda Gu; Andreas Bartschat; Markus Reischl; Rainer Koch; Ralf Mikut; Hans-Jörg Bauer (CoRR, 2019)

Motion prediction enables simulated MR-imaging of freely moving model organisms. - Markus Reischl; Mazin Jouda; Neil MacKinnon; Erwin Fuhrer; Natalia Bakhtina; Andreas Bartschat; Ralf Mikut; Jan G. Korvink (PLoS Comput. Biol., 2019)

Data mining tools. - Andreas Bartschat; Markus Reischl; Ralf Mikut (WIREs Data Mining Knowl. Discov., 2019)

BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images. - Tim Scherr; Karolin Streule; Andreas Bartschat; Moritz Böhland; Johannes Stegmaier; Markus Reischl; Véronique Orian-Rousseau; Ralf Mikut (Bioinform., 2020)

pyWATTS: Python Workflow Automation Tool for Time Series. - Benedikt Heidrich; Andreas Bartschat; Marian Turowski; Oliver Neumann; Kaleb Phipps; Stefan Meisenbacher; Kai Schmieder; Nicole Ludwig 002; Ralf Mikut; Veit Hagenmeyer (CoRR, 2021)