Publikationen
2026
- Rosbach, E., Ammeling, J., Ganz, J., Bertram, C. A., Conrad, T., Riener, A., & Aubreville, M. (2026). Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology. Machine Learning for Biomedical Imaging, 3, 126–147. http://doi.org/https://doi.org/10.59275/j.melba.2026-87b1 (Original work published 2026)
Inherent uninterruptible power supply via directly grid-connected machines and variable inertia flywheels
Rettig, A., Jahromi, S. N., Jauch, C., & Reese, L. (2026). Inherent uninterruptible power supply via directly grid-connected machines and variable inertia flywheels. Electric Power Systems Research, 256, 11. http://doi.org/https://doi.org/10.1016/j.epsr.2026.112880 (Original work published 2026)Abstract
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Feasibility of confocal laser endomicroscopy as an optical biopsy method for SCC on the auricle : an exploratory study
Müller-Diesing, F., Sievert, M., Panuganti, B., Aubreville, M., Porsche, N., Hackenberg, S., … Goncalves, M. (2026). Feasibility of confocal laser endomicroscopy as an optical biopsy method for SCC on the auricle : an exploratory study. Oral and Maxillofacial Surgery, 30(1), 21+. http://doi.org/10.1007/s10006-026-01506-yAbstract
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Benchmarking Foundation Models for Mitotic Figure Classification
Ammeling, J., Ganz, J., Rosbach, E., Lausser, L., Bertram, C. A., Breininger, K., & Aubreville, M. (2026). Benchmarking Foundation Models for Mitotic Figure Classification. Machine Learning for Biomedical Imaging, 3, 38–58. http://doi.org/"https://doi.org/10.59275/j.melba.2026-a3eb"Exportformate
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Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation
Banerjee, S., Weiss, V., Donovan, T. A., Fick, R., Conrad, T., Ammeling, J., … Bertram, C. A. (2026). Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation. Machine Learning for Biomedical Imaging, 3, 115–125. http://doi.org/https://doi.org/10.59275/j.melba.2026-6c1gExportformate
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2025
Artificial intelligence predicts c-KIT exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it?
Puget, C., Ganz, J., Bertram, C. A., Conrad, T., Baeblich, M., Voss, A., … Klopfleisch, R. (2025). Artificial intelligence predicts c-KIT exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it? Veterinary Pathology, 03009858251380284. http://doi.org/10.1177/03009858251380284 (Original work published 2026)Exportformate
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Digitale Prüfungen im Fach Buchhaltung – Entwicklung eines Moodle-Fragetyps
Tausch-Nebel, L., & van der Sluis, H. (2025). Digitale Prüfungen im Fach Buchhaltung – Entwicklung eines Moodle-Fragetyps. Die Neue Hochschule (DNH), (4/2025), 4. Abgerufen von https://www.hlb.de/die-neue-hochschule# (Original work published August 2025)Abstract
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Reporting guidelines for manuscripts that use artificial intelligence–based automated image analysis in Veterinary Pathology
Bertram, C. A., Schutten, M., Ressel, L., Breininger, K., Webster, J. D., & Aubreville, M. (2025). Reporting guidelines for manuscripts that use artificial intelligence–based automated image analysis in Veterinary Pathology. Veterinary Pathology, 62, 615–617. http://doi.org/10.1177/03009858251344320 (Original work published August 2025)Exportformate
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On the road to interactive LLM-based systematic mapping studies
Petersen, K., & Gerken, J. M. (2025). On the road to interactive LLM-based systematic mapping studies. Information and Software Technology, 178. (Original work published Februar 2025)Exportformate
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Joint Frequency Stabilisation in Future 100% Renewable Electric Power Systems
Reese, L., Rettig, A., Jauch, C., Domin, R. J., & Karshüning, T. (2025). Joint Frequency Stabilisation in Future 100% Renewable Electric Power Systems. Energies, 18, 17. http://doi.org/10.3390/en18020418 (Original work published Januar 2025)Abstract
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