Markus Reischl

According to our database, Markus Reischl authored at least 66 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., March, 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., March, 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

Assessing Political Bias in Large Language Models.

Luca Rettenberger, Markus Reischl, Mark Schutera

CoRR, 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

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

Fault Detection in 3D-Printing with Deep Learning.

Luca Rettenberger, Nils Beyer, Ingo Sieber, Markus Reischl

Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023

A fully automated touch-response behavior inspection pipeline on zebrafish larvae.

Yanke Wang, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl

Autom., October, 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., September, 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

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

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

CoRR, 2023

Categorization and Evaluation Methods for Control Strategies of Bilateral Tasks in Arm Prosthetics.

Tom Hetto, Stefan Schulz, Markus Reischl

IEEE Access, 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

Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging.

Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

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

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

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

KaIDA: a modular tool for assisting image annotation in deep learning.

Marcel P. Schilling, Svenja Schmelzer, Lukas Klinger, Markus Reischl

J. Integr. Bioinform., 2022

EasyMLServe: Easy Deployment of REST Machine Learning Services.

Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut

CoRR, 2022

A universal synthetic dataset for machine learning on spectroscopic data.

Jan Schuetzke, Nathan J. Szymanski, Markus Reischl

CoRR, 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

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

Experimental Setup for Evaluation of Medical Ozone Gas Sensors.

Lisa Petani, Dennis Wickersheim, Liane Koker, Markus Reischl, Ulrich Gengenbach, Christian Pylatiuk

Proceedings of the IEEE Sensors Applications Symposium, 2022

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

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

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

Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten.

Friedrich R. Münke, Marcel P. Schilling, Ralf Mikut, Markus Reischl

Autom., 2021

Evaluation of four point cloud similarity measures for the use in autonomous driving.

Felix Berens, Stefan Elser, Markus Reischl

Autom., 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

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

2020

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

2019

Benchmarking in classification and regression.

Frank Hoffmann, Torsten Bertram, Ralf Mikut, Markus Reischl, Oliver Nelles

WIREs Data Mining Knowl. Discov., 2019

Data mining tools.

Andreas Bartschat, Markus Reischl, Ralf Mikut

WIREs Data Mining Knowl. Discov., 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

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

Strategies for supplementing recurrent neural network training for spatio-temporal prediction.

Mark Schutera, Stefan Elser, Jochen Abhau, Ralf Mikut, Markus Reischl

Autom., 2019

Automated design process for hybrid regression modeling with a one-class SVM.

Moritz Böhland, Wolfgang Doneit, Lutz Gröll, Ralf Mikut, Markus Reischl

Autom., 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

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

Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

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

Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic.

Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl

CoRR, 2018

Transfer Learning versus Multiagent Learning regarding Distributed Decision-Making in Highway Traffic.

Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl

Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, 2018

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

The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide.

Ralf Mikut, Andreas Bartschat, Wolfgang Doneit, Jorge Ángel González Ordiano, Benjamin Schott, Johannes Stegmaier, Simon Waczowicz, Markus Reischl

CoRR, 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

DaMoQ: Eine Open-Source-MATLAB-Toolbox zur Bewertung von Daten- und Modellqualität in Regressionen.

Wolfgang Doneit, Ralf Mikut, Lutz Gröll, Tim Pychynski, Markus Reischl

Autom., 2017

2016

XPIWIT - an XML pipeline wrapper for the Insight Toolkit.

Andreas Bartschat, Eduard Hübner, Markus Reischl, Ralf Mikut, Johannes Stegmaier

Bioinform., 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, Uwe Strähle, Markus Reischl, Ralf Mikut

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, David Liebetanz, Rüdiger Rupp, Ralf Mikut

Autom., 2016

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

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

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

Asphalt Image Miner: Ein Werkzeug zur automatischen Quantifizierung der Gesteinskörnungen in Asphaltproben.

Markus Reischl, Anne Wittenberg, Carsten Karcher, Ralf Mikut

Autom., 2014

2012

Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen.

Christian Kühnert, Lutz Gröll, Michael Heizmann, Markus Reischl, Ralf Mikut

Autom., 2012

Automatic Tuning of Image Segmentation Parameters by Means of Fuzzy Feature Evaluation.

Arif ul Maula Khan, Ralf Mikut, Brigitte Schweitzer, Carsten Weiss, Markus Reischl

Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

2011

Data mining tools.

Ralf Mikut, Markus Reischl

WIREs Data Mining Knowl. Discov., 2011

Evaluation of data mining approaches for the control of multifunctional arm prostheses.

Markus Reischl, Lutz Gröll, Ralf Mikut

Integr. Comput. Aided Eng., 2011

Automatische Klassifikation von Bildzeitreihen für toxikologische Hochdurchsatz-Untersuchungen.

Rüdiger Alshut, Ralf Mikut, Jessica Legradi, Urban Liebel, Uwe Strähle, Georg Bretthauer, Markus Reischl

Autom., 2011

2010

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

Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

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

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

2007

Gedanken zur Lehre.

Dirk Abel, Martin Buss, Andreas Kroll, Markus Reischl

Autom., 2007

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

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

2005

A hydraulically driven multifunctional prosthetic hand.

Stefan Schulz, Christian Pylatiuk, Markus Reischl, Jan Martin, Ralf Mikut, Georg Bretthauer

Robotica, 2005

2004

EMG-control of prostheses by switch signals: extraction and classification of features.

Markus Reischl, Ralf Mikut, Lutz Gröll

Proceedings of the IEEE International Conference on Systems, 2004