Markus Reischl

77 papers B 3C 1Misc 1Journal 66Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bayesian Optimization for Design Parameters of 3D Image Data Analysis. CoRR David Exler, Joaquín Eduardo Urrutia Gómez, Martin Krüger, Maike Schliephake, John Jbeily, Mario Vitacolonna, Rüdiger Rudolf, Markus Reischl
2026	J	`jnl`	On the Effect of Domain-Adversarial Supervision Placement for Cross-Sensor 6-D Pose Estimation. IEEE Access Tobias Niedermaier, Sarah Weiß, Mahmoud Salem, Christopher Bonenberger, Maik Knof, Stefan Elser, Markus Reischl
2025	J	`jnl`	A novel metric for 6D pose estimation: Addressing errors and false detections for more reliable evaluation. Autom. Tobias Niedermaier, Felix Berens, Markus Reischl, Stefan Elser
2025	J	`jnl`	ASAP: Automated Style-Aware Similarity Measurement for Selection of Annotated Pre-Training Datasets in 2D Biomedical Imaging. IEEE Access Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut
2025	J	`jnl`	Assessing political bias in large language models. J. Comput. Soc. Sci. Luca Rettenberger, Markus Reischl, Mark Schutera
2025	J	`jnl`	Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning. J. Intell. Manuf. Maxim Polomoshnov, Klaus-Martin Reichert, Luca Rettenberger, Martin Ungerer, Gerardo Hernandez-Sosa, Ulrich Gengenbach, Markus Reischl
2025	J	`jnl`	Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters. CoRR David Exler, Mark Schutera, Markus Reischl, Luca Rettenberger
2025	J	`jnl`	Learning to Detect Label Errors by Making Them: A Method for Segmentation and Object Detection Datasets. CoRR Sarina Penquitt, Tobias Riedlinger, Timo Heller, Markus Reischl, Matthias Rottmann
2024	J	`jnl`	A review of adaptable conventional image processing pipelines and deep learning on limited datasets. Mach. Vis. Appl. Friedrich R. Münke, Jan Schuetzke, Felix Berens, Markus Reischl
2024	J	`jnl`	Accelerating Materials Discovery: Automated Identification of Prospects from X-Ray Diffraction Data in Fast Screening Experiments. Adv. Intell. Syst. Jan Schuetzke, Simon Schweidler, Friedrich R. Münke, Andre Orth, Anurag D. Khandelwal, Ben Breitung, Jasmin Aghassi-Hagmann, Markus Reischl
2024	J	`jnl`	Adaptable Accelerometer Signal Processing Pipelines for Smartphone based Evenness Estimation. J. Signal Process. Syst. Friedrich R. Münke, Manuel Schenk, Sandra Murr, Markus Reischl
2024	J	`jnl`	Assessing Political Bias in Large Language Models. CoRR Luca Rettenberger, Markus Reischl, Mark Schutera
2024	—	`conf`	Energy-Based Prior Latent Space Diffusion Model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI. DGM4MICCAI@MICCAI Yanke Wang, Yolanne Yi Ran Lee, Aurelio Dolfini, Markus Reischl, Ender Konukoglu, Kyriakos Flouris
2024	J	`jnl`	Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI. CoRR Yanke Wang, Yolanne Yi Ran Lee, Aurelio Dolfini, Markus Reischl, Ender Konukoglu, Kyriakos Flouris
2024	C	`conf`	Fault Detection in 3D-Printing with Deep Learning. ICCE Luca Rettenberger, Nils Beyer, Ingo Sieber, Markus Reischl
2024	J	`jnl`	Improving 3D deep learning segmentation with biophysically motivated cell synthesis. CoRR Roman Bruch, Mario Vitacolonna, Elina Nürnberg, Simeon Sauer, Rüdiger Rudolf, Markus Reischl
2023	J	`jnl`	A fully automated touch-response behavior inspection pipeline on zebrafish larvae. Autom. Yanke Wang, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
2023	—	`conf`	AI EMBC Marcel P. Schilling, Lukas Klinger, Ulrike Schumacher, Svenja Schmelzer, Miguel Bordallo López, Britta Nestler, Markus Reischl
2023	—	`conf`	Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging. ISBI Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut
2023	J	`jnl`	Categorization and Evaluation Methods for Control Strategies of Bilateral Tasks in Arm Prosthetics. IEEE Access Tom Hetto, Stefan Schulz, Markus Reischl
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2023	J	`jnl`	Improving Generative Adversarial Networks for Patch-Based Unpaired Image-to-Image Translation. IEEE Access Moritz Böhland, Roman Bruch, Simon Bäuerle, Luca Rettenberger, Markus Reischl
2023	J	`jnl`	MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis. CoRR Angelo Jovin Yamachui Sitcheu, Nils Friederich, Simon Baeuerle, Oliver Neumann, Markus Reischl, Ralf Mikut
2023	J	`jnl`	Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation. IEEE Trans. Biomed. Eng. Luca Rettenberger, Marcel P. Schilling, Stefan Elser, Moritz Böhland, Markus Reischl
2022	J	`jnl`	A universal synthetic dataset for machine learning on spectroscopic data. CoRR Jan Schuetzke, Nathan J. Szymanski, Markus Reischl
2022	J	`jnl`	An Automated Experimentation System for the Touch-Response Quantification of Zebrafish Larvae. IEEE Trans Autom. Sci. Eng. Yanke Wang, Daniel Marcato, Vani Tirumalasetty, Naveen Krishna Kanagaraj, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
2022	J	`jnl`	Automated Annotator Variability Inspection for Biomedical Image Segmentation. IEEE Access Marcel P. Schilling, Tim Scherr, Friedrich R. Münke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl
2022	J	`jnl`	EasyMLServe: Easy Deployment of REST Machine Learning Services. CoRR Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut
2022	B	`conf`	Experimental Setup for Evaluation of Medical Ozone Gas Sensors. SAS Lisa Petani, Dennis Wickersheim, Liane Koker, Markus Reischl, Ulrich Gengenbach, Christian Pylatiuk
2022	J	`jnl`	High-Throughput Data Acquisition Platform for Multi-Larvae Touch-Response Behavior Screening of Zebrafish. IEEE Robotics Autom. Lett. Yanke Wang, Naveen Krishna Kanagaraj, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
2022	J	`jnl`	KaIDA: a modular tool for assisting image annotation in deep learning. J. Integr. Bioinform. Marcel P. Schilling, Svenja Schmelzer, Lukas Klinger, Markus Reischl
2022	J	`jnl`	Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding. J. Intell. Manuf. Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut
2022	J	`jnl`	ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network. CoRR Moritz Böhland, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Katharina Löffler, Tim Scherr
2021	J	`jnl`	CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units. Autom. Simon Bäuerle, Moritz Böhland, Jonas Barth, Markus Reischl, Andreas Steimer, Ralf Mikut
2021	J	`jnl`	Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting. Image Vis. Comput. Mark Schutera, Frank M. Hafner, Jochen Abhau, Veit Hagenmeyer, Ralf Mikut, Markus Reischl
2021	J	`jnl`	Evaluation of four point cloud similarity measures for the use in autonomous driving. Autom. Felix Berens, Stefan Elser, Markus Reischl
2021	J	`jnl`	Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten. Autom. Friedrich R. Münke, Marcel P. Schilling, Ralf Mikut, Markus Reischl
2021	J	`jnl`	Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms. IEEE Access Marcel P. Schilling, Svenja Schmelzer, Joaquín Eduardo Urrutia Gómez, Anna A. Popova, Pavel A. Levkin, Markus Reischl
2021	J	`jnl`	Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks. CoRR Marcel P. Schilling, Luca Rettenberger, Friedrich R. Münke, Haijun Cui, Anna A. Popova, Pavel A. Levkin, Ralf Mikut, Markus Reischl
2021	J	`jnl`	Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night. IEEE Trans. Intell. Veh. Mark Schutera, Mostafa Hussein, Jochen Abhau, Ralf Mikut, Markus Reischl
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`	Automated design process for hybrid regression modeling with a one-class SVM. Autom. Moritz Böhland, Wolfgang Doneit, Lutz Gröll, Ralf Mikut, Markus Reischl
2019	J	`jnl`	Benchmarking in classification and regression. WIREs Data Mining Knowl. Discov. Frank Hoffmann, Torsten Bertram, Ralf Mikut, Markus Reischl, Oliver Nelles
2019	J	`jnl`	Data mining tools. WIREs Data Mining Knowl. Discov. Andreas Bartschat, Markus Reischl, Ralf Mikut
2019	B	`conf`	Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification. AVSS Mark Schutera, Frank M. Hafner, Hendrik Vogt, Jochen Abhau, Markus Reischl
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`	Strategies for supplementing recurrent neural network training for spatio-temporal prediction. Autom. Mark Schutera, Stefan Elser, Jochen Abhau, Ralf Mikut, Markus Reischl
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	J	`jnl`	Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning. CoRR Mark Schutera, Niklas Goby, Stefan Smolarek, Markus Reischl
2018	J	`jnl`	Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic. CoRR Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl
2018	—	`conf`	Transfer Learning versus Multiagent Learning regarding Distributed Decision-Making in Highway Traffic. ATT@IJCAI Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl
2017	J	`jnl`	Charakterisierung der Fahrbahnbeschaffenheit durch Data Mining von gemessenen kinematischen Fahrzeuggrößen. Autom. Johannes Masino, Guillaume Levasseur, Michael Frey, Frank Gauterin, Ralf Mikut, Markus Reischl
2017	J	`jnl`	DaMoQ: Eine Open-Source-MATLAB-Toolbox zur Bewertung von Daten- und Modellqualität in Regressionen. Autom. Wolfgang Doneit, Ralf Mikut, Lutz Gröll, Tim Pychynski, Markus Reischl
2017	J	`jnl`	Photovoltaic power forecasting using simple data-driven models without weather data. Comput. Sci. Res. Dev. Jorge Ángel González Ordiano, Simon Waczowicz, Markus Reischl, Ralf Mikut, Veit Hagenmeyer
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`	Automation strategies for large-scale 3D image analysis. Autom. 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, Uwe Strähle, Markus Reischl, Ralf Mikut
2016	J	`jnl`	Beispiele für den Einsatz von Automatisierungstechnik bei der Analyse biologischer Modellorganismen. Autom. Daniel Marcato, Helmut Breitwieser, Paul Scheikl, Ravindra Peravali, Markus Reischl, Christian Pylatiuk
2016	J	`jnl`	Einfluss von Trainingseffekten auf die Parameteradaption für Mensch-Maschine-Schnittstellen in der Medizintechnik. Autom. Markus Reischl, Michele René Tuga, Lena Meister, Eduard Alberg, Wolfgang Doneit, David Liebetanz, Rüdiger Rupp, Ralf Mikut
2016	J	`jnl`	XPIWIT - an XML pipeline wrapper for the Insight Toolkit. Bioinform. Andreas Bartschat, Eduard Hübner, Markus Reischl, Ralf Mikut, Johannes Stegmaier
2014	J	`jnl`	Asphalt Image Miner: Ein Werkzeug zur automatischen Quantifizierung der Gesteinskörnungen in Asphaltproben. Autom. Markus Reischl, Anne Wittenberg, Carsten Karcher, Ralf Mikut
2014	J	`jnl`	Automated prior knowledge-based quantification of neuronal patterns in the spinal cord of zebrafish. Bioinform. Johannes Stegmaier, Maryam Shahid, Masanari Takamiya, Lixin Yang, Sepand Rastegar, Markus Reischl, Uwe Strähle, Ralf Mikut
2014	J	`jnl`	Data Mining zur Analyse der Auswirkungen von Preissignalen auf Haushaltsstromkunden. Autom. Simon Waczowicz, Stefan Klaiber, Peter Bretschneider, Irina Konotop, Dirk Westermann, Markus Reischl, Ralf Mikut
2012	—	`conf`	Automatic Tuning of Image Segmentation Parameters by Means of Fuzzy Feature Evaluation. SMPS Arif ul Maula Khan, Ralf Mikut, Brigitte Schweitzer, Carsten Weiss, Markus Reischl
2012	J	`jnl`	Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen. Autom. Christian Kühnert, Lutz Gröll, Michael Heizmann, Markus Reischl, Ralf Mikut
2011	J	`jnl`	Automatische Klassifikation von Bildzeitreihen für toxikologische Hochdurchsatz-Untersuchungen. Autom. Rüdiger Alshut, Ralf Mikut, Jessica Legradi, Urban Liebel, Uwe Strähle, Georg Bretthauer, Markus Reischl
2011	J	`jnl`	Data mining tools. WIREs Data Mining Knowl. Discov. Ralf Mikut, Markus Reischl
2011	J	`jnl`	Evaluation of data mining approaches for the control of multifunctional arm prostheses. Integr. Comput. Aided Eng. Markus Reischl, Lutz Gröll, Ralf Mikut
2010	Misc	`conf`	Methods for Automated High-Throughput Toxicity Testing Using Zebrafish Embryos. KI Rüdiger Alshut, Jessica Legradi, Urban Liebel, Lixin Yang, Jos van Wezel, Uwe Strähle, Ralf Mikut, Markus Reischl
2008	J	`jnl`	Data-Mining-Analysen mit der Matlab-Toolbox Gait-CAD (Data Mining Analyses with the Matlab Toolbox Gait-CAD). Autom. Ole Burmeister, Markus Reischl, Georg Bretthauer, Ralf Mikut
2008	J	`jnl`	Takagi-Sugeno-Kang Fuzzy Classifiers for a Special Class of Time-Varying Systems. IEEE Trans. Fuzzy Syst. Ralf Mikut, Ole Burmeister, Lutz Gröll, Markus Reischl
2007	J	`jnl`	Gedanken zur Lehre. Autom. Dirk Abel, Martin Buss, Andreas Kroll, Markus Reischl
2006	J	`jnl`	Regelungs- und Steuerungskonzepte für Neuroprothesen am Beispiel der oberen Extremitäten (Closed- and Open-Loop Control Concepts for Neuroprostheses of Upper Extremities). Autom. Ralf Mikut, Thilo B. Krüger, Markus Reischl, Ole Burmeister, Rüdiger Rupp, Thomas Stieglitz
2006	J	`jnl`	Zeitvariante Klassifikatoren zur Steuerung von Brain Machine Interfaces und Neuroprothesen (Time-variant Classifiers to Control Brain Machine Interfaces and Neuroprostheses). Autom. Ole Burmeister, Markus Reischl, Lutz Gröll, Ralf Mikut
2005	J	`jnl`	A hydraulically driven multifunctional prosthetic hand. Robotica Stefan Schulz, Christian Pylatiuk, Markus Reischl, Jan Martin, Ralf Mikut, Georg Bretthauer
2004	—	`conf`	EMG-control of prostheses by switch signals: extraction and classification of features. SMC (1) Markus Reischl, Ralf Mikut, Lutz Gröll
2004	B	`conf`	Optimized classification of multiclass problems applied to EMG-control of hand prostheses. IJCNN Markus Reischl, Lutz Gröll, Ralf Mikut