| A comprehensive multi-domain dataset for mitotic figure detection M Aubreville, F Wilm, N Stathonikos, K Breininger, TA Donovan, S Jabari, ... Scientific data 10 (1), 484, 2023 | 28 | 2023 |
| Domain generalization across tumor types, laboratories, and species—Insights from the 2022 edition of the Mitosis Domain Generalization Challenge M Aubreville, N Stathonikos, TA Donovan, R Klopfleisch, J Ammeling, ... Medical Image Analysis 94, 103155, 2024 | 16 | 2024 |
| Rethinking U-net Skip Connections for Biomedical Image Segmentation F Wilm, J Ammeling, M Öttl, RHJ Fick, M Aubreville, K Breininger arXiv preprint arXiv:2402.08276, 2024 | 4 | 2024 |
| Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector M Aubreville, J Ganz, J Ammeling, TA Donovan, RHJ Fick, K Breininger, ... BVM Workshop, 189-195, 2023 | 4 | 2023 |
| Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry J Ammeling, M Hecker, J Ganz, TA Donovan, R Klopfleisch, CA Bertram, ... BVM Workshop, 123-128, 2024 | 3 | 2024 |
| Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis J Ganz, C Marzahl, J Ammeling, E Rosbach, B Richter, C Puget, D Denk, ... Scientific Reports 14 (1), 26273, 2024 | 2 | 2024 |
| Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images J Ganz, K Lipnik, J Ammeling, B Richter, C Puget, E Parlak, L Diehl, ... BVM Workshop, 226-231, 2023 | 2 | 2023 |
| Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge J Ammeling, F Wilm, J Ganz, K Breininger, M Aubreville MICCAI Challenge on Mitosis Domain Generalization, 201-205, 2022 | 2 | 2022 |
| Re-identification from histopathology images J Ganz, J Ammeling, S Jabari, K Breininger, M Aubreville Medical Image Analysis 99, 103335, 2025 | 1 | 2025 |
| Perceived responsibility in AI-supported medicine S Krügel, J Ammeling, M Aubreville, A Fritz, A Kießig, M Uhl AI & SOCIETY, 1-11, 2024 | 1 | 2024 |
| Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis M Aubreville, J Ganz, J Ammeling, CC Kaltenecker, CA Bertram arXiv preprint arXiv:2404.07676, 2024 | 1 | 2024 |
| Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors M Aubreville, Z Pan, M Sievert, J Ammeling, J Ganz, N Oetter, F Stelzle, ... arXiv preprint arXiv:2311.07216, 2023 | 1 | 2023 |
| Appealing but Potentially Biasing-Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making J Ammeling, C Manger, E Kwaka, S Krügel, M Uhl, A Kießig, A Fritz, ... Proceedings of Mensch und Computer 2023, 330-335, 2023 | 1 | 2023 |
| Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays J Ammeling, LH Schmidt, J Ganz, T Niedermair, C Brochhausen-Delius, ... BVM Workshop, 220-225, 2023 | 1 | 2023 |
| Is Self-Supervision Enough? Benchmarking Foundation Models Against End-to-End Training for Mitotic Figure Classification J Ganz, J Ammeling, E Rosbach, L Lausser, CA Bertram, K Breininger, ... arXiv preprint arXiv:2412.06365, 2024 | | 2024 |
| An Interdisciplinary Perspective on AI-Supported Decision Making in Medicine J Ammeling, M Aubreville, A Fritz, A Kießig, S Krügel, M Uhl Technology in Society, 102791, 2024 | | 2024 |
| Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology E Rosbach, J Ganz, J Ammeling, A Riener, M Aubreville arXiv preprint arXiv:2411.00998, 2024 | | 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 E Rosbach, J Ammeling, S Krügel, A Kießig, A Fritz, J Ganz, C Puget, ... arXiv preprint arXiv:2411.01007, 2024 | | 2024 |
| Information Mismatch in PHH3-Assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis M Aubreville, J Ganz, C Marzahl, J Ammeling, E Rosbach, B Richter, ... | | 2024 |
| Prediction of tumor board procedural recommendations using large language models M Aubreville, J Ganz, J Ammeling, E Rosbach, T Gehrke, A Scherzad, ... European Archives of Oto-Rhino-Laryngology, 1-11, 2024 | | 2024 |
Marc AubrevilleProfessor at Flensburg University of Applied Sciences, Flensburg, Germany在 hs-flensburg.de 的电子邮件经过验证
