Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets. - Simon T. Isele; Marcel P. Schilling; Fabian E. Klein; Sascha Saralajew; J. Marius Zoellner (VEHITS, 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)

Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten. - Friedrich R. Münke; Marcel P. Schilling; Ralf Mikut; Markus Reischl (Autom., 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)

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)

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)

EasyMLServe: Easy Deployment of REST Machine Learning Services. - Oliver Neumann; Marcel P. Schilling; Markus Reischl; Ralf Mikut (CoRR, 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)

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 (EMBC, 2023)

Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging. - Miguel Molina-Moreno; Marcel P. Schilling; Markus Reischl; Ralf Mikut (ISBI, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Datenzentriertes Deep Learning dür die Hochdurchsatzbildverarbeitung in interdisziplinären Projekten. - Marcel P. Schilling (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., 2023)

ASAP: Automated Style-Aware Similarity Measurement for Selection of Annotated Pre-Training Datasets in 2D Biomedical Imaging. - Miguel Molina-Moreno; Marcel P. Schilling; Markus Reischl; Ralf Mikut (IEEE Access, 2025)