Jacqueline Michelle Metsch
Orcid: 0000-0002-7517-7041
According to our database1,
Jacqueline Michelle Metsch
authored at least 9 papers
between 2021 and 2025.
Collaborative distances:
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Bibliography
2025
MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification.
CoRR, February, 2025
MGPATH: A Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot Whole Slide Pathology Classification.
Trans. Mach. Learn. Res., 2025
BenchXAI: Comprehensive benchmarking of post-hoc explainable AI methods on multi-modal biomedical data.
Comput. Biol. Medicine, 2025
2024
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria.
IEEE J. Biomed. Health Informatics, April, 2024
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks.
J. Biomed. Informatics, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning.
Proceedings of the Machine Learning and Knowledge Extraction, 2023
2022
Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records.
Comput. Biol. Medicine, 2022
2021
Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making.
BioData Min., 2021