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Zebrafish|September 6, 2022
Automated Zebrafish Phenotype Pattern Recognition: 6 Years Ago, and NowMark Schutera, Luca Rettenberger, Markus ReischlPlos One|February 8, 2022
Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labelsMark Schutera, Luca Rettenberger, Christian Pylatiuk, et al.IEEE Transactions on Bio-Medical Engineering|April 7, 2023
Self-Supervised Learning for Annotation Efficient Biomedical Image SegmentationLuca Rettenberger, Marcel Schilling, Stefan Elser, et al.Zebrafish|September 20, 2019
Machine Learning Methods for Automated Quantification of Ventricular DimensionsMark Schutera, Steffen Just, Jakob Gierten, et al.Bioengineered|June 11, 2016
Automated phenotype pattern recognition of zebrafish for high-throughput screeningMark Schutera, Thomas Dickmeis, Marina Mione, et al.Npj Computational Materials|September 25, 2025
Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentationLuca Rettenberger, Nathan J Szymanski, Andrea Giunto, et al.Plos One|July 21, 2015
A Benchmark Data Set to Evaluate the Illumination Robustness of Image Processing Algorithms for Object Segmentation and ClassificationArif Ul Maula Khan, Ralf Mikut, Markus ReischlPlos One|October 21, 2016
A New Feedback-Based Method for Parameter Adaptation in Image Processing RoutinesArif Ul Maula Khan, Ralf Mikut, Markus ReischlBiomedizinische Technik. Biomedical Engineering|December 13, 2006
Data mining in medical time seriesRalf Mikut, Markus Reischl, Ole Burmeister, et al.Iucrj|May 6, 2021
Enhancing deep-learning training for phase identification in powder X-ray diffractogramsJan Schuetzke, Alexander Benedix, Ralf Mikut, et al.Pageof 8