Jonathan Ganz

Orcid: 0009-0008-1299-8716

According to our database1, Jonathan Ganz authored at least 21 papers between 2013 and 2025.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

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

When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology.
CoRR, 2024

Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology.
CoRR, 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

Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides.
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

Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors.
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

2021
Automatic and explainable grading of meningiomas from histopathology images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2017
ASLR: How Robust Is the Randomness?
Proceedings of the IEEE Cybersecurity Development, SecDev 2017, Cambridge, MA, USA, 2017

2013
Asking for (and about) permissions used by Android apps.
Proceedings of the 10th Working Conference on Mining Software Repositories, 2013


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