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2020 – today
- 2024
[j44]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)- [j43]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): 25 (2024) - [c10]Luca Rettenberger, Nils Beyer, Ingo Sieber, Markus Reischl:
Fault Detection in 3D-Printing with Deep Learning. ICCE 2024: 1-4 - [c9]Yanke Wang, Yolanne Yi Ran Lee, Aurelio Dolfini, Markus Reischl, Ender Konukoglu, Kyriakos Flouris:
Energy-Based Prior Latent Space Diffusion Model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI. DGM4MICCAI@MICCAI 2024: 22-32 - [i12]Luca Rettenberger, Markus Reischl, Mark Schutera:
Assessing Political Bias in Large Language Models. CoRR abs/2405.13041 (2024) - [i11]Roman Bruch, Mario Vitacolonna, Elina Nürnberg, Simeon Sauer, Rüdiger Rudolf, Markus Reischl:
Improving 3D deep learning segmentation with biophysically motivated cell synthesis. CoRR abs/2408.16471 (2024) - 2023
- [j42]Tom Hetto, Stefan Schulz, Markus Reischl:
Categorization and Evaluation Methods for Control Strategies of Bilateral Tasks in Arm Prosthetics. IEEE Access 11: 52501-52508 (2023) - [j41]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: 127895-127906 (2023) - [j40]Yanke Wang, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl:
A fully automated touch-response behavior inspection pipeline on zebrafish larvae. Autom. 71(10): 845-852 (2023) - [j39]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): 2519-2528 (2023) - [c8]Marcel P. Schilling, Lukas Klinger, Ulrike Schumacher, Svenja Schmelzer, Miguel Bordallo López, Britta Nestler, Markus Reischl:
AI2Seg: A Method and Tool for AI-based Annotation Inspection of Biomedical Instance Segmentation Datasets. EMBC 2023: 1-6 - [c7]Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut:
Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging. ISBI 2023: 1-5 - [i10]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 abs/2303.06274 (2023) - [i9]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 abs/2309.15521 (2023) - 2022
- [j38]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: 2753-2765 (2022) - [j37]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) - [j36]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): 1139-1163 (2022) - [j35]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): 858-865 (2022) - [j34]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): 3007-3019 (2022) - [c6]Lisa Petani, Dennis Wickersheim, Liane Koker, Markus Reischl, Ulrich Gengenbach, Christian Pylatiuk:
Experimental Setup for Evaluation of Medical Ozone Gas Sensors. SAS 2022: 1-6 - [i8]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 abs/2202.13960 (2022) - [i7]Jan Schuetzke, Nathan J. Szymanski, Markus Reischl:
A universal synthetic dataset for machine learning on spectroscopic data. CoRR abs/2206.06031 (2022) - [i6]Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut:
EasyMLServe: Easy Deployment of REST Machine Learning Services. CoRR abs/2211.14417 (2022) - 2021
- [j33]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: 166027-166038 (2021) - [j32]Felix Berens, Stefan Elser, Markus Reischl:
Evaluation of four point cloud similarity measures for the use in autonomous driving. Autom. 69(6): 499-510 (2021) - [j31]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): 880-891 (2021) - [j30]Friedrich R. Münke, Marcel P. Schilling, Ralf Mikut, Markus Reischl:
Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten. Autom. 69(10): 892-902 (2021) - [j29]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: 104079 (2021) - [j28]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): 480-489 (2021) - [i5]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 abs/2111.13970 (2021) - 2020
- [j27]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): 4668-4670 (2020)
2010 – 2019
- 2019
- [j26]Mark Schutera, Stefan Elser, Jochen Abhau, Ralf Mikut, Markus Reischl:
Strategies for supplementing recurrent neural network training for spatio-temporal prediction. Autom. 67(7): 545-556 (2019) - [j25]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): 843-852 (2019) - [j24]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): 879-888 (2019) - [j23]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) - [j22]Andreas Bartschat, Markus Reischl, Ralf Mikut:
Data mining tools. WIREs Data Mining Knowl. Discov. 9(4) (2019) - [j21]Frank Hoffmann, Torsten Bertram, Ralf Mikut, Markus Reischl, Oliver Nelles:
Benchmarking in classification and regression. WIREs Data Mining Knowl. Discov. 9(5) (2019) - [c5]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: 1-6 - [i4]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 abs/1910.11073 (2019) - 2018
- [c4]Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl:
Transfer Learning versus Multiagent Learning regarding Distributed Decision-Making in Highway Traffic. ATT@IJCAI 2018: 57-62 - [i3]Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl:
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic. CoRR abs/1810.08515 (2018) - [i2]Mark Schutera, Niklas Goby, Stefan Smolarek, Markus Reischl:
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning. CoRR abs/1811.11233 (2018) - 2017
- [j20]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): 207 (2017) - [j19]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): 867-877 (2017) - [j18]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): 237-246 (2017) - [i1]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 abs/1704.03298 (2017) - 2016
- [j17]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): 555-566 (2016) - [j16]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): 816-826 (2016) - [j15]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): 915-925 (2016) - [j14]Andreas Bartschat, Eduard Hübner, Markus Reischl, Ralf Mikut, Johannes Stegmaier:
XPIWIT - an XML pipeline wrapper for the Insight Toolkit. Bioinform. 32(2): 315-317 (2016) - 2014
- [j13]Markus Reischl, Anne Wittenberg, Carsten Karcher, Ralf Mikut:
Asphalt Image Miner: Ein Werkzeug zur automatischen Quantifizierung der Gesteinskörnungen in Asphaltproben. Autom. 62(9): 676-683 (2014) - [j12]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): 740-752 (2014) - [j11]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): 726-733 (2014) - 2012
- [j10]Christian Kühnert, Lutz Gröll, Michael Heizmann, Markus Reischl, Ralf Mikut:
Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen. Autom. 60(10): 630-640 (2012) - [c3]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: 459-467 - 2011
- [j9]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): 259-269 (2011) - [j8]Markus Reischl, Lutz Gröll, Ralf Mikut:
Evaluation of data mining approaches for the control of multifunctional arm prostheses. Integr. Comput. Aided Eng. 18(3): 235-249 (2011) - [j7]Ralf Mikut, Markus Reischl:
Data mining tools. WIREs Data Mining Knowl. Discov. 1(5): 431-443 (2011) - 2010
- [c2]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: 219-226
2000 – 2009
- 2008
- [j6]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): 381-389 (2008) - [j5]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): 1038-1049 (2008) - 2007
- [j4]Dirk Abel, Martin Buss, Andreas Kroll, Markus Reischl:
Gedanken zur Lehre. Autom. 55(5): 266-268 (2007) - 2006
- [j3]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): 523-536 (2006) - [j2]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): 537-545 (2006) - 2005
- [j1]Stefan Schulz, Christian Pylatiuk, Markus Reischl, Jan Martin, Ralf Mikut, Georg Bretthauer:
A hydraulically driven multifunctional prosthetic hand. Robotica 23(3): 293-299 (2005) - 2004
- [c1]Markus Reischl, Ralf Mikut, Lutz Gröll:
EMG-control of prostheses by switch signals: extraction and classification of features. SMC (1) 2004: 94-96
Coauthor Index
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