Markus Reischl

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 48

Top Topics

Data Mining Tools

Neural Network Training

Confocal Microscopy

Top Venues

Publications

Luca Rettenberger, Nils Beyer, Ingo Sieber, Markus Reischl
Fault Detection in 3D-Printing with Deep Learning. ICCE (2024)
Friedrich R. Münke, Jan Schuetzke, Felix Berens, Markus Reischl
A review of adaptable conventional image processing pipelines and deep learning on limited datasets. Mach. Vis. Appl. 35 (2) (2024)
Jan Schuetzke, Simon Schweidler, Friedrich R. Münke, Andre Orth, Anurag D. Khandelwal, Ben Breitung, Jasmin Aghassi-Hagmann, Markus Reischl
Accelerating Materials Discovery: Automated Identification of Prospects from X-Ray Diffraction Data in Fast Screening Experiments. Adv. Intell. Syst. 6 (3) (2024)
Luca Rettenberger, Markus Reischl, Mark Schutera
Assessing Political Bias in Large Language Models. CoRR (2024)
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
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR (2023)
Marcel P. Schilling, Lukas Klinger, Ulrike Schumacher, Svenja Schmelzer, Miguel Bordallo López, Britta Nestler, Markus Reischl
Seg: A Method and Tool for AI-based Annotation Inspection of Biomedical Instance Segmentation Datasets. EMBC (2023)
Moritz Böhland, Roman Bruch, Simon Bäuerle, Luca Rettenberger, Markus Reischl
Improving Generative Adversarial Networks for Patch-Based Unpaired Image-to-Image Translation. IEEE Access 11 (2023)
Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut
Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging. ISBI (2023)
Luca Rettenberger, Marcel P. Schilling, Stefan Elser, Moritz Böhland, Markus Reischl
Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation. IEEE Trans. Biomed. Eng. 70 (9) (2023)
Angelo Jovin Yamachui Sitcheu, Nils Friederich, Simon Baeuerle, Oliver Neumann, Markus Reischl, Ralf Mikut
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis. CoRR (2023)
Yanke Wang, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
A fully automated touch-response behavior inspection pipeline on zebrafish larvae. Autom. 71 (10) (2023)
Tom Hetto, Stefan Schulz, Markus Reischl
Categorization and Evaluation Methods for Control Strategies of Bilateral Tasks in Arm Prosthetics. IEEE Access 11 (2023)
Moritz Böhland, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Katharina Löffler, Tim Scherr
ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network. CoRR (2022)
Yanke Wang, Daniel Marcato, Vani Tirumalasetty, Naveen Krishna Kanagaraj, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
An Automated Experimentation System for the Touch-Response Quantification of Zebrafish Larvae. IEEE Trans Autom. Sci. Eng. 19 (4) (2022)
Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding. J. Intell. Manuf. 33 (4) (2022)
Jan Schuetzke, Nathan J. Szymanski, Markus Reischl
A universal synthetic dataset for machine learning on spectroscopic data. CoRR (2022)
Marcel P. Schilling, Svenja Schmelzer, Lukas Klinger, Markus Reischl
KaIDA: a modular tool for assisting image annotation in deep learning. J. Integr. Bioinform. 19 (4) (2022)
Yanke Wang, Naveen Krishna Kanagaraj, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
High-Throughput Data Acquisition Platform for Multi-Larvae Touch-Response Behavior Screening of Zebrafish. IEEE Robotics Autom. Lett. 7 (2) (2022)
Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut
EasyMLServe: Easy Deployment of REST Machine Learning Services. CoRR (2022)
Marcel P. Schilling, Tim Scherr, Friedrich R. Münke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl
Automated Annotator Variability Inspection for Biomedical Image Segmentation. IEEE Access 10 (2022)
Lisa Petani, Dennis Wickersheim, Liane Koker, Markus Reischl, Ulrich Gengenbach, Christian Pylatiuk
Experimental Setup for Evaluation of Medical Ozone Gas Sensors. SAS (2022)
Marcel P. Schilling, Svenja Schmelzer, Joaquín Eduardo Urrutia Gómez, Anna A. Popova, Pavel A. Levkin, Markus Reischl
Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms. IEEE Access 9 (2021)
Felix Berens, Stefan Elser, Markus Reischl
Evaluation of four point cloud similarity measures for the use in autonomous driving. Autom. 69 (6) (2021)
Mark Schutera, Frank M. Hafner, Jochen Abhau, Veit Hagenmeyer, Ralf Mikut, Markus Reischl
Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting. Image Vis. Comput. 106 (2021)
Simon Bäuerle, Moritz Böhland, Jonas Barth, Markus Reischl, Andreas Steimer, Ralf Mikut
CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units. Autom. 69 (10) (2021)
Friedrich R. Münke, Marcel P. Schilling, Ralf Mikut, Markus Reischl
Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten. Autom. 69 (10) (2021)
Marcel P. Schilling, Luca Rettenberger, Friedrich R. Münke, Haijun Cui, Anna A. Popova, Pavel A. Levkin, Ralf Mikut, Markus Reischl
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks. CoRR (2021)
Mark Schutera, Mostafa Hussein, Jochen Abhau, Ralf Mikut, Markus Reischl
Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night. IEEE Trans. Intell. Veh. 6 (3) (2021)
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) (2020)
Moritz Böhland, Wolfgang Doneit, Lutz Gröll, Ralf Mikut, Markus Reischl
Automated design process for hybrid regression modeling with a one-class SVM. Autom. 67 (10) (2019)
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)
Andreas Bartschat, Markus Reischl, Ralf Mikut
Data mining tools. WIREs Data Mining Knowl. Discov. 9 (4) (2019)
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 (2019)
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) (2019)
Frank Hoffmann, Torsten Bertram, Ralf Mikut, Markus Reischl, Oliver Nelles
Benchmarking in classification and regression. WIREs Data Mining Knowl. Discov. 9 (5) (2019)
Mark Schutera, Stefan Elser, Jochen Abhau, Ralf Mikut, Markus Reischl
Strategies for supplementing recurrent neural network training for spatio-temporal prediction. Autom. 67 (7) (2019)
Mark Schutera, Frank M. Hafner, Hendrik Vogt, Jochen Abhau, Markus Reischl
Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification. AVSS (2019)
Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic. CoRR (2018)
Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl
Transfer Learning versus Multiagent Learning regarding Distributed Decision-Making in Highway Traffic. ATT@IJCAI (2018)
Mark Schutera, Niklas Goby, Stefan Smolarek, Markus Reischl
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning. CoRR (2018)
Wolfgang Doneit, Ralf Mikut, Lutz Gröll, Tim Pychynski, Markus Reischl
DaMoQ: Eine Open-Source-MATLAB-Toolbox zur Bewertung von Daten- und Modellqualität in Regressionen. Autom. 65 (3) (2017)
Jorge Ángel González Ordiano, Simon Waczowicz, Markus Reischl, Ralf Mikut, Veit Hagenmeyer
Photovoltaic power forecasting using simple data-driven models without weather data. Comput. Sci. Res. Dev. 32 (1-2) (2017)
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 (2017)
Johannes Masino, Guillaume Levasseur, Michael Frey, Frank Gauterin, Ralf Mikut, Markus Reischl
Charakterisierung der Fahrbahnbeschaffenheit durch Data Mining von gemessenen kinematischen Fahrzeuggrößen. Autom. 65 (12) (2017)
Andreas Bartschat, Eduard Hübner, Markus Reischl, Ralf Mikut, Johannes Stegmaier
XPIWIT - an XML pipeline wrapper for the Insight Toolkit. Bioinform. 32 (2) (2016)
Markus Reischl, Michele René Tuga, Lena Meister, Eduard Alberg, Wolfgang Doneit, David Liebetanz, Rüdiger Rupp, Ralf Mikut
Einfluss von Trainingseffekten auf die Parameteradaption für Mensch-Maschine-Schnittstellen in der Medizintechnik. Autom. 64 (10) (2016)
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
Automation strategies for large-scale 3D image analysis. Autom. 64 (7) (2016)
Daniel Marcato, Helmut Breitwieser, Paul Scheikl, Ravindra Peravali, Markus Reischl, Christian Pylatiuk
Beispiele für den Einsatz von Automatisierungstechnik bei der Analyse biologischer Modellorganismen. Autom. 64 (11) (2016)
Markus Reischl, Anne Wittenberg, Carsten Karcher, Ralf Mikut
Asphalt Image Miner: Ein Werkzeug zur automatischen Quantifizierung der Gesteinskörnungen in Asphaltproben. Autom. 62 (9) (2014)
Johannes Stegmaier, Maryam Shahid, Masanari Takamiya, Lixin Yang, Sepand Rastegar, Markus Reischl, Uwe Strähle, Ralf Mikut
Automated prior knowledge-based quantification of neuronal patterns in the spinal cord of zebrafish. Bioinform. 30 (5) (2014)
Simon Waczowicz, Stefan Klaiber, Peter Bretschneider, Irina Konotop, Dirk Westermann, Markus Reischl, Ralf Mikut
Data Mining zur Analyse der Auswirkungen von Preissignalen auf Haushaltsstromkunden. Autom. 62 (10) (2014)
Arif ul Maula Khan, Ralf Mikut, Brigitte Schweitzer, Carsten Weiss, Markus Reischl
Automatic Tuning of Image Segmentation Parameters by Means of Fuzzy Feature Evaluation. SMPS (2012)
Christian Kühnert, Lutz Gröll, Michael Heizmann, Markus Reischl, Ralf Mikut
Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen. Autom. 60 (10) (2012)
Ralf Mikut, Markus Reischl
Data mining tools. WIREs Data Mining Knowl. Discov. 1 (5) (2011)
Markus Reischl, Lutz Gröll, Ralf Mikut
Evaluation of data mining approaches for the control of multifunctional arm prostheses. Integr. Comput. Aided Eng. 18 (3) (2011)
Rüdiger Alshut, Ralf Mikut, Jessica Legradi, Urban Liebel, Uwe Strähle, Georg Bretthauer, Markus Reischl
Automatische Klassifikation von Bildzeitreihen für toxikologische Hochdurchsatz-Untersuchungen. Autom. 59 (5) (2011)
Rüdiger Alshut, Jessica Legradi, Urban Liebel, Lixin Yang, Jos van Wezel, Uwe Strähle, Ralf Mikut, Markus Reischl
Methods for Automated High-Throughput Toxicity Testing Using Zebrafish Embryos. KI (2010)
Ralf Mikut, Ole Burmeister, Lutz Gröll, Markus Reischl
Takagi-Sugeno-Kang Fuzzy Classifiers for a Special Class of Time-Varying Systems. IEEE Trans. Fuzzy Syst. 16 (4) (2008)
Ole Burmeister, Markus Reischl, Georg Bretthauer, Ralf Mikut
Data-Mining-Analysen mit der Matlab-Toolbox Gait-CAD (Data Mining Analyses with the Matlab Toolbox Gait-CAD). Autom. 56 (7) (2008)
Dirk Abel, Martin Buss, Andreas Kroll, Markus Reischl
Gedanken zur Lehre. Autom. 55 (5) (2007)
Ole Burmeister, Markus Reischl, Lutz Gröll, Ralf Mikut
Zeitvariante Klassifikatoren zur Steuerung von Brain Machine Interfaces und Neuroprothesen (Time-variant Classifiers to Control Brain Machine Interfaces and Neuroprostheses). Autom. 54 (11) (2006)
Ralf Mikut, Thilo B. Krüger, Markus Reischl, Ole Burmeister, Rüdiger Rupp, Thomas Stieglitz
Regelungs- und Steuerungskonzepte für Neuroprothesen am Beispiel der oberen Extremitäten (Closed- and Open-Loop Control Concepts for Neuroprostheses of Upper Extremities). Autom. 54 (11) (2006)
Stefan Schulz, Christian Pylatiuk, Markus Reischl, Jan Martin, Ralf Mikut, Georg Bretthauer
A hydraulically driven multifunctional prosthetic hand. Robotica 23 (3) (2005)
Markus Reischl, Ralf Mikut, Lutz Gröll
EMG-control of prostheses by switch signals: extraction and classification of features. SMC (1) (2004)