952210
Lehrstuhl für Maschinelles Lernen in der Radiologie| ID | I:(DE-82)952210_20240405 |
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Preprint
Counterfactual Diffusion Models for Interpretable Morphology-based Explanations of Artificial Intelligence Models in Pathology
46 Seiten (2025) [10.1101/2024.10.29.620913]
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Journal Article
Prompt injection attacks on vision language models in oncology
Nature Communications 16, 1239 (2025) [10.1038/s41467-024-55631-x]
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End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning
23 Seiten (2025) [10.1101/2025.01.22.25320517]
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Journal Article
Synthetic chest X-ray images from text prompts
Nature biomedical engineering 9, 439-440 (2024) [10.1038/s41551-024-01261-z]
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Journal Article
Large language models for structured reporting in radiology: past, present, and future
European radiology 35(5), 2589-2602 (2024) [10.1007/s00330-024-11107-6]
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Journal Article
Weakly Supervised Deep Learning in Radiology
Radiology 312(1), [1]-10 (2024) [10.1148/radiol.232085]
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Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance
Computers in biology and medicine 175, 108410 (2024) [10.1016/j.compbiomed.2024.108410]
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Journal Article/Contribution to a book
Large language models could make natural language again the universal interface of healthcare
Nature medicine 30(10), 2708-2710 (2024) [10.1038/s41591-024-03199-w] special issue: "Unidirectional risk effects of clonal hematopoiesis on atherosclerosis"
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Journal Article
Large language models and multimodal foundation models for precision oncology
npj precision oncology 8(1), 72 (2024) [10.1038/s41698-024-00573-2]
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Journal Article
Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization
Radiology 312(1), [1]-9 (2024) [10.1148/radiol.232304]
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