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Jonathan Ganz

Showing results (1-10 of 11) with videos related to

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Medical Image Analysis|September 24, 2024
Re-identification from histopathology imagesJonathan Ganz, Jonas Ammeling, Samir Jabari, et al.
IEEE Transactions on Medical Imaging|April 15, 2025
Investigation of Class Separability within Object Detection Models in HistopathologyJonas Ammeling, Jonathan Ganz, Frauke Wilm, et al.
Journal of Foot and Ankle Research|April 15, 2023
How to measure children's feet: 3D foot scanning compared with established 2D manual or digital methodsJuliane Mueller, Monika Richter, Kathrin Schaefer, et al.
European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery|September 12, 2024
Prediction of tumor board procedural recommendations using large language modelsMarc Aubreville, Jonathan Ganz, Jonas Ammeling, et al.
Veterinary Pathology|October 18, 2024
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 slidesChloé Puget, Jonathan Ganz, Julian Ostermaier, et al.
Scientific Data|July 25, 2023
A comprehensive multi-domain dataset for mitotic figure detectionMarc Aubreville, Frauke Wilm, Nikolas Stathonikos, et al.
Veterinary Pathology|October 8, 2025
Artificial intelligence predicts <i>c-KIT</i> exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it?Chloé Puget, Jonathan Ganz, Christof A Bertram, et al.
Veterinary Pathology|November 19, 2024
Nuclear pleomorphism in canine cutaneous mast cell tumors: Comparison of reproducibility and prognostic relevance between estimates, manual morphometry, and algorithmic morphometryAndreas Haghofer, Eda Parlak, Alexander Bartel, et al.
Veterinary Sciences|June 26, 2024
Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance ReproducibilityImaine Glahn, Andreas Haghofer, Taryn A Donovan, et al.
Scientific Reports|November 2, 2024
Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysisJonathan Ganz, Christian Marzahl, Jonas Ammeling, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Medical Image Analysis|September 24, 2024
Re-identification from histopathology imagesJonathan Ganz, Jonas Ammeling, Samir Jabari, et al.
IEEE Transactions on Medical Imaging|April 15, 2025
Investigation of Class Separability within Object Detection Models in HistopathologyJonas Ammeling, Jonathan Ganz, Frauke Wilm, et al.
Journal of Foot and Ankle Research|April 15, 2023
How to measure children's feet: 3D foot scanning compared with established 2D manual or digital methodsJuliane Mueller, Monika Richter, Kathrin Schaefer, et al.
European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery|September 12, 2024
Prediction of tumor board procedural recommendations using large language modelsMarc Aubreville, Jonathan Ganz, Jonas Ammeling, et al.
Veterinary Pathology|October 18, 2024
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 slidesChloé Puget, Jonathan Ganz, Julian Ostermaier, et al.
Scientific Data|July 25, 2023
A comprehensive multi-domain dataset for mitotic figure detectionMarc Aubreville, Frauke Wilm, Nikolas Stathonikos, et al.
Veterinary Pathology|October 8, 2025
Artificial intelligence predicts <i>c-KIT</i> exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it?Chloé Puget, Jonathan Ganz, Christof A Bertram, et al.
Veterinary Pathology|November 19, 2024
Nuclear pleomorphism in canine cutaneous mast cell tumors: Comparison of reproducibility and prognostic relevance between estimates, manual morphometry, and algorithmic morphometryAndreas Haghofer, Eda Parlak, Alexander Bartel, et al.
Veterinary Sciences|June 26, 2024
Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance ReproducibilityImaine Glahn, Andreas Haghofer, Taryn A Donovan, et al.
Scientific Reports|November 2, 2024
Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysisJonathan Ganz, Christian Marzahl, Jonas Ammeling, et al.
Pageof 2