23 citations · 28 across the 4 of their papers we have counts for
4 papers
Measuring Cross-Modal Interactions in Multimodal Models
Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski +1
Integrating AI in healthcare can greatly improve patient care and system efficiency. However, the lack of explainability in AI systems (XAI) hinders their clinical adoption, especi…
Diagnosing Medical Datasets with Training Dynamics
Laura Wenderoth
This study explores the potential of using training dynamics as an automated alternative to human annotation for evaluating the quality of training data. The framework used is Data…
Exploring Multi-Modality Dynamics: Insights and Challenges in Multimodal Fusion for Biomedical Tasks
Laura Wenderoth
This paper investigates the MM dynamics approach proposed by Han et al. (2022) for multi-modal fusion in biomedical classification tasks. The MM dynamics algorithm integrates featu…
Self-supervision for medical image classification: state-of-the-art performance with ~100 labeled training samples per class
Maximilian Nielsen, Laura Wenderoth, Thilo Sentker +1
Is self-supervised deep learning (DL) for medical image analysis already a serious alternative to the de facto standard of end-to-end trained supervised DL? We tackle this question…