3 papers
cs.CV2026
Graph Representation Learning of Longitudinal Medical Imaging Trajectories for Treatment Response Prediction
Johannes Kiechle, Richard Osuala, Daniel M. Lang +5
In patients with breast cancer, pathological complete response (pCR) has been established as a clinically meaningful surrogate marker for long-term outcomes. While commonly treated…
cs.CV2026
Chronological Contrastive Learning: Few-Shot Progression Assessment in Irreversible Diseases
Clemens Watzenböck, Daniel Aletaha, Michaël Deman +9
Quantitative disease severity scoring in medical imaging is costly, time-consuming, and subject to inter-reader variability. At the same time, clinical archives contain far more lo…
cs.CV2025
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…