3 papers
cs.LG2026
HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction
Susu Hu, Qinghe Zeng, Nithya Bhasker +2
Predicting spatial gene expression from H&E histology offers a scalable and clinically accessible alternative to sequencing, but realizing clinical impact requires models that gene…
cs.LG2026
Adaptive-CaRe: Adaptive Causal Regularization for Robust Outcome Prediction
Nithya Bhasker, Fiona R. Kolbinger, Susu Hu +2
Accurate prediction of outcomes is crucial for clinical decision-making and personalized patient care. Supervised machine learning algorithms, which are commonly used for outcome p…
cs.CV2023
Graph data modelling for outcome prediction in oropharyngeal cancer patients
Nithya Bhasker, Stefan Leger, Alexander Zwanenburg +4
Graph neural networks (GNNs) are becoming increasingly popular in the medical domain for the tasks of disease classification and outcome prediction. Since patient data is not readi…