Jonas Ammeling
Scholar

Jonas Ammeling

Google Scholar ID: BehA6akAAAAJ
Technische Hochschule Ingolstadt
Computer VisionDeep LearningComputational Pathology
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Citations & Impact
All-time
Citations
223
 
H-index
7
 
i10-index
4
 
Publications
20
 
Co-authors
4
list available
Contact
No contact links provided.
Publications
7 items
Performance evaluation of deep learning models for image analysis: considerations for visual control and statistical metrics
2026
Cited
0
Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
2026
Cited
0
Dataset creation for supervised deep learning-based analysis of microscopic images - review of important considerations and recommendations
2025
Cited
0
Effortless Vision-Language Model Specialization in Histopathology without Annotation
2025
Cited
0
Benchmarking Foundation Models for Mitotic Figure Classification
2025
Cited
0
Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation
2025
Cited
0
A Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br)
2025
Cited
0
Resume (English only)
Co-authors
4 total
Marc Aubreville
Marc Aubreville
Professor at Flensburg University of Applied Sciences, Flensburg, Germany
Katharina Breininger
Katharina Breininger
Center for AI and Datascience, Julius-Maximilians-Universität Würzburg
Christof Bertram
Christof Bertram
University of Veterinary Medicine Vienna
Rutger Fick
Rutger Fick
Tribvn Healthcare