Optimized classification of multiclass problems applied to EMG-control of hand prostheses. - Markus Reischl; Lutz Gröll; Ralf Mikut (IJCNN, 2004)

EMG-control of prostheses by switch signals: extraction and classification of features. - Markus Reischl; Ralf Mikut; Lutz Gröll (SMC (1), 2004)

A hydraulically driven multifunctional prosthetic hand. - Stefan Schulz 003; Christian Pylatiuk; Markus Reischl; Jan Martin; Ralf Mikut; Georg Bretthauer (Robotica, 2005)

Zeitvariante Klassifikatoren zur Steuerung von Brain Machine Interfaces und Neuroprothesen (Time-variant Classifiers to Control Brain Machine Interfaces and Neuroprostheses). - Ole Burmeister; Markus Reischl; Lutz Gröll; Ralf Mikut (Autom., 2006)

Regelungs- und Steuerungskonzepte für Neuroprothesen am Beispiel der oberen Extremitäten (Closed- and Open-Loop Control Concepts for Neuroprostheses of Upper Extremities). - Ralf Mikut; Thilo B. Krüger; Markus Reischl; Ole Burmeister; Rüdiger Rupp; Thomas Stieglitz (Autom., 2006)

Gedanken zur Lehre. - Dirk Abel; Martin Buss; Andreas Kroll; Markus Reischl (Autom., 2007)

Data-Mining-Analysen mit der Matlab-Toolbox Gait-CAD (Data Mining Analyses with the Matlab Toolbox Gait-CAD). - Ole Burmeister; Markus Reischl; Georg Bretthauer; Ralf Mikut (Autom., 2008)

Takagi-Sugeno-Kang Fuzzy Classifiers for a Special Class of Time-Varying Systems. - Ralf Mikut; Ole Burmeister; Lutz Gröll; Markus Reischl (IEEE Trans. Fuzzy Syst., 2008)

Methods for Automated High-Throughput Toxicity Testing Using Zebrafish Embryos. - Rüdiger Alshut; Jessica Legradi; Urban Liebel; Lixin Yang; Jos van Wezel; Uwe Strähle; Ralf Mikut; Markus Reischl (KI, 2010)

Automatische Klassifikation von Bildzeitreihen für toxikologische Hochdurchsatz-Untersuchungen. - Rüdiger Alshut; Ralf Mikut; Jessica Legradi; Urban Liebel; Uwe Strähle; Georg Bretthauer; Markus Reischl (Autom., 2011)

Evaluation of data mining approaches for the control of multifunctional arm prostheses. - Markus Reischl; Lutz Gröll; Ralf Mikut (Integr. Comput. Aided Eng., 2011)

Data mining tools. - Ralf Mikut; Markus Reischl (WIREs Data Mining Knowl. Discov., 2011)

Automatic Tuning of Image Segmentation Parameters by Means of Fuzzy Feature Evaluation. - Arif ul Maula Khan; Ralf Mikut; Brigitte Schweitzer; Carsten Weiss; Markus Reischl (SMPS, 2012)

Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen. - Christian Kühnert; Lutz Gröll; Michael Heizmann; Markus Reischl; Ralf Mikut (Autom., 2012)

Asphalt Image Miner: Ein Werkzeug zur automatischen Quantifizierung der Gesteinskörnungen in Asphaltproben. - Markus Reischl; Anne Wittenberg; Carsten Karcher; Ralf Mikut (Autom., 2014)

Data Mining zur Analyse der Auswirkungen von Preissignalen auf Haushaltsstromkunden. - Simon Waczowicz; Stefan Klaiber; Peter Bretschneider; Irina Konotop; Dirk Westermann; Markus Reischl; Ralf Mikut (Autom., 2014)

Automated prior knowledge-based quantification of neuronal patterns in the spinal cord of zebrafish. - Johannes Stegmaier; Maryam Shahid; Masanari Takamiya; Lixin Yang; Sepand Rastegar; Markus Reischl; Uwe Strähle; Ralf Mikut (Bioinform., 2014)

Beispiele für den Einsatz von Automatisierungstechnik bei der Analyse biologischer Modellorganismen. - Daniel Marcato; Helmut Breitwieser; Paul Scheikl; Ravindra Peravali; Markus Reischl; Christian Pylatiuk (Autom., 2016)

Einfluss von Trainingseffekten auf die Parameteradaption für Mensch-Maschine-Schnittstellen in der Medizintechnik. - Markus Reischl; Michele René Tuga; Lena Meister; Eduard Alberg; Wolfgang Doneit 001; David Liebetanz; Rüdiger Rupp; Ralf Mikut (Autom., 2016)

Automation strategies for large-scale 3D image analysis. - Johannes Stegmaier; Benjamin Schott; Eduard Hübner; Manuel Traub; Maryam Shahid; Masanari Takamiya; Andrei Kobitski; Volker Hartmann; Rainer Stotzka; Jos van Wezel; Achim Streit; G. Ulrich Nienhaus; et al. (Autom., 2016)

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

DaMoQ: Eine Open-Source-MATLAB-Toolbox zur Bewertung von Daten- und Modellqualität in Regressionen. - Wolfgang Doneit 001; Ralf Mikut; Lutz Gröll; Tim Pychynski; Markus Reischl (Autom., 2017)

Charakterisierung der Fahrbahnbeschaffenheit durch Data Mining von gemessenen kinematischen Fahrzeuggrößen. - Johannes Masino; Guillaume Levasseur; Michael Frey; Frank Gauterin; Ralf Mikut; Markus Reischl (Autom., 2017)

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)

Photovoltaic power forecasting using simple data-driven models without weather data. - Jorge Ángel González Ordiano; Simon Waczowicz; Markus Reischl; Ralf Mikut; Veit Hagenmeyer (Comput. Sci. Res. Dev., 2017)

Transfer Learning versus Multiagent Learning regarding Distributed Decision-Making in Highway Traffic. - Mark Schutera; Niklas Goby; Dirk Neumann 001; Markus Reischl (ATT@IJCAI, 2018)

Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic. - Mark Schutera; Niklas Goby; Dirk Neumann 001; Markus Reischl (CoRR, 2018)

Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning. - Mark Schutera; Niklas Goby; Stefan Smolarek; Markus Reischl (CoRR, 2018)

Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification. - Mark Schutera; Frank M. Hafner; Hendrik Vogt; Jochen Abhau; Markus Reischl (AVSS, 2019)

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)

Automated design process for hybrid regression modeling with a one-class SVM. - Moritz Böhland; Wolfgang Doneit 001; Lutz Gröll; Ralf Mikut; Markus Reischl (Autom., 2019)

Strategies for supplementing recurrent neural network training for spatio-temporal prediction. - Mark Schutera; Stefan Elser; Jochen Abhau; Ralf Mikut; Markus Reischl (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)

Benchmarking in classification and regression. - Frank Hoffmann 001; Torsten Bertram; Ralf Mikut; Markus Reischl; Oliver Nelles (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)

Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms. - Marcel P. Schilling; Svenja Schmelzer; Joaquín Eduardo Urrutia Gómez; Anna A. Popova; Pavel A. Levkin; Markus Reischl (IEEE Access, 2021)

CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units. - Simon Bäuerle; Moritz Böhland; Jonas Barth; Markus Reischl; Andreas Steimer; Ralf Mikut (Autom., 2021)

Evaluation of four point cloud similarity measures for the use in autonomous driving. - Felix Berens; Stefan Elser; Markus Reischl (Autom., 2021)

Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten. - Friedrich R. Münke; Marcel P. Schilling; Ralf Mikut; Markus Reischl (Autom., 2021)

Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks. - Marcel P. Schilling; Luca Rettenberger; Friedrich R. Münke; Haijun Cui; Anna A. Popova; Pavel A. Levkin; Ralf Mikut; Markus Reischl (CoRR, 2021)

Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting. - Mark Schutera; Frank M. Hafner; Jochen Abhau; Veit Hagenmeyer; Ralf Mikut; Markus Reischl (Image Vis. Comput., 2021)

Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night. - Mark Schutera; Mostafa Hussein; Jochen Abhau; Ralf Mikut; Markus Reischl (IEEE Trans. Intell. Veh., 2021)

Experimental Setup for Evaluation of Medical Ozone Gas Sensors. - Lisa Petani; Dennis Wickersheim; Liane Koker; Markus Reischl; Ulrich Gengenbach; Christian Pylatiuk (SAS, 2022)

Automated Annotator Variability Inspection for Biomedical Image Segmentation. - Marcel P. Schilling; Tim Scherr; Friedrich R. Münke; Oliver Neumann; Mark Schutera; Ralf Mikut; Markus Reischl (IEEE Access, 2022)

ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network. - Moritz Böhland; Oliver Neumann; Marcel P. Schilling; Markus Reischl; Ralf Mikut; Katharina Löffler; Tim Scherr (CoRR, 2022)

A universal synthetic dataset for machine learning on spectroscopic data. - Jan Schuetzke; Nathan J. Szymanski; Markus Reischl (CoRR, 2022)

EasyMLServe: Easy Deployment of REST Machine Learning Services. - Oliver Neumann; Marcel P. Schilling; Markus Reischl; Ralf Mikut (CoRR, 2022)

KaIDA: a modular tool for assisting image annotation in deep learning. - Marcel P. Schilling; Svenja Schmelzer; Lukas Klinger; Markus Reischl (J. Integr. Bioinform., 2022)

Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding. - Baifan Zhou; Tim Pychynski; Markus Reischl; Evgeny Kharlamov; Ralf Mikut (J. Intell. Manuf., 2022)

High-Throughput Data Acquisition Platform for Multi-Larvae Touch-Response Behavior Screening of Zebrafish. - Yanke Wang; Naveen Krishna Kanagaraj; Christian Pylatiuk; Ralf Mikut; Ravindra Peravali; Markus Reischl (IEEE Robotics Autom. Lett., 2022)

An Automated Experimentation System for the Touch-Response Quantification of Zebrafish Larvae. - Yanke Wang; Daniel Marcato; Vani Tirumalasetty; Naveen Krishna Kanagaraj; Christian Pylatiuk; Ralf Mikut; Ravindra Peravali; Markus Reischl (IEEE Trans Autom. Sci. Eng., 2022)

AI2Seg: A Method and Tool for AI-based Annotation Inspection of Biomedical Instance Segmentation Datasets. - Marcel P. Schilling; Lukas Klinger; Ulrike Schumacher; Svenja Schmelzer; Miguel Bordallo López; Britta Nestler; Markus Reischl (EMBC, 2023)

Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging. - Miguel Molina-Moreno; Marcel P. Schilling; Markus Reischl; Ralf Mikut (ISBI, 2023)

Improving Generative Adversarial Networks for Patch-Based Unpaired Image-to-Image Translation. - Moritz Böhland; Roman Bruch; Simon Bäuerle; Luca Rettenberger; Markus Reischl (IEEE Access, 2023)

Categorization and Evaluation Methods for Control Strategies of Bilateral Tasks in Arm Prosthetics. - Tom Hetto; Stefan Schulz 003; Markus Reischl (IEEE Access, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis. - Angelo Jovin Yamachui Sitcheu; Nils Friederich; Simon Baeuerle; Oliver Neumann; Markus Reischl; Ralf Mikut (CoRR, 2023)

Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation. - Luca Rettenberger; Marcel P. Schilling; Stefan Elser; Moritz Böhland; Markus Reischl (IEEE Trans. Biomed. Eng., 2023)

A fully automated touch-response behavior inspection pipeline on zebrafish larvae. - Yanke Wang; Christian Pylatiuk; Ralf Mikut; Ravindra Peravali; Markus Reischl (Autom., 2023)

Fault Detection in 3D-Printing with Deep Learning. - Luca Rettenberger; Nils Beyer; Ingo Sieber; Markus Reischl (ICCE, 2024)

Energy-Based Prior Latent Space Diffusion Model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI. - Yanke Wang; Yolanne Yi Ran Lee; Aurelio Dolfini; Markus Reischl; Ender Konukoglu; Kyriakos Flouris (DGM4MICCAI@MICCAI, 2024)

Improving 3D deep learning segmentation with biophysically motivated cell synthesis. - Roman Bruch; Mario Vitacolonna; Elina Nürnberg; Simeon Sauer; Rüdiger Rudolf; Markus Reischl (CoRR, 2024)

Accelerating Materials Discovery: Automated Identification of Prospects from X-Ray Diffraction Data in Fast Screening Experiments. - Jan Schuetzke; Simon Schweidler; Friedrich R. Münke; Andre Orth; Anurag D. Khandelwal; Ben Breitung; Jasmin Aghassi-Hagmann; Markus Reischl (Adv. Intell. Syst., 2024)

A review of adaptable conventional image processing pipelines and deep learning on limited datasets. - Friedrich R. Münke; Jan Schuetzke; Felix Berens; Markus Reischl (Mach. Vis. Appl., 2024)

Adaptable Accelerometer Signal Processing Pipelines for Smartphone based Evenness Estimation. - Friedrich R. Münke; Manuel Schenk; Sandra Murr; Markus Reischl (J. Signal Process. Syst., 2024)

ASAP: Automated Style-Aware Similarity Measurement for Selection of Annotated Pre-Training Datasets in 2D Biomedical Imaging. - Miguel Molina-Moreno; Marcel P. Schilling; Markus Reischl; Ralf Mikut (IEEE Access, 2025)

A novel metric for 6D pose estimation: Addressing errors and false detections for more reliable evaluation. - Tobias Niedermaier; Felix Berens; Markus Reischl; Stefan Elser (Autom., 2025)

Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning. - Maxim Polomoshnov; Klaus-Martin Reichert; Luca Rettenberger; Martin Ungerer; Gerardo Hernandez-Sosa; Ulrich Gengenbach; Markus Reischl (J. Intell. Manuf., 2025)

Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters. - David Exler; Mark Schutera; Markus Reischl; Luca Rettenberger (CoRR, 2025)

Assessing political bias in large language models. - Luca Rettenberger; Markus Reischl; Mark Schutera (J. Comput. Soc. Sci., 2025)