Jonas Ammeling

Orcid: 0000-0002-0335-1194

According to our database1, Jonas Ammeling authored at least 25 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Investigation of Class Separability Within Object Detection Models in Histopathology.
IEEE Trans. Medical Imaging, August, 2025

Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation.
CoRR, June, 2025

Perceived responsibility in AI-supported medicine.
AI Soc., March, 2025

Re-identification from histopathology images.
Medical Image Anal., 2025

"When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Abstract: Information Mismatch in PHH3-assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Is Self-supervision Enough? - Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Abstract: Re-identification from Histopathology Images.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br).
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025

2024
Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge.
Medical Image Anal., 2024

On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images.
CoRR, 2024

Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis.
CoRR, 2024

Rethinking U-net Skip Connections for Biomedical Image Segmentation.
CoRR, 2024

Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard.
CoRR, 2023

Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making.
Proceedings of the Mensch und Computer 2023, 2023

Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge.
Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022


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