4 papers
SYNPRED: A Synergistic Approach to Multimodal Learning for Clinical Prediction
Ivana Janíčková, Yen Y. Tan, Thomas H. Helbich +6
Multimodal medical data captures complementary aspects of disease. It provides a comprehensive basis for diagnosis and the identification of biological associations linked to progr…
Temporal Representation Learning of Phenotype Trajectories for pCR Prediction in Breast Cancer
Ivana Janíčková, Yen Y. Tan, Thomas H. Helbich +4
Effective therapy decisions require models that predict the individual response to treatment. This is challenging since the progression of disease and response to treatment vary su…
No Modality Left Behind: Dynamic Model Generation for Incomplete Medical Data
Christoph Fürböck, Paul Weiser, Branko Mitic +3
In real world clinical environments, training and applying deep learning models on multi-modal medical imaging data often struggles with partially incomplete data. Standard approac…
LesiOnTime -- Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI
Mohammed Kamran, Maria Bernathova, Raoul Varga +5
Accurate segmentation of small lesions in Breast Dynamic Contrast-Enhanced MRI (DCE-MRI) is critical for early cancer detection, especially in high-risk patients. While recent deep…