Jonathan Ganz
Publications
2026
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Abstract: Investigation of Class Separability within Object Detection Models in Histopathology
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Benchmarking Foundation Models for Mitotic Figure Classification
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Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
2025
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"When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology
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Artificial intelligence predicts <i>c-KIT</i> exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it?
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Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology
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Investigation of Class Separability within Object Detection Models in Histopathology
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Is Self-supervision Enough?: Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification
2024
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Artificial intelligence can be trained to predict <i>c-KIT</i> -11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides
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Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning
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Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry
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Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility
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Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge
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Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors
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Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors
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Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis
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Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis
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Nuclear pleomorphism in canine cutaneous mast cell tumors: Comparison of reproducibility and prognostic relevance between estimates, manual morphometry, and algorithmic morphometry
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Prediction of tumor board procedural recommendations using large language models
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Re-identification from histopathology images
2023
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A comprehensive multi-domain dataset for mitotic figure detection
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Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making
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Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays
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Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images
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Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector
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Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge
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Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge
2022
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Classification of visibility in multi-stain microscopy images
2021
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Automatic and explainable grading of meningiomas from histopathology images