1 citations · 1 across the 3 of their papers we have counts for
3 papers
MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning
M Rita Verdelho, Alexandre Bernardino, Catarina Barata
Oncologists often rely on a multitude of data, including whole-slide images (WSIs), to guide therapeutic decisions, aiming for the best patient outcome. However, predicting the pro…
Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context Adaptation
Rui Daniel, M. Rita Verdelho, Catarina Barata +1
Deep Learning for medical imaging faces challenges in adapting and generalizing to new contexts. Additionally, it often lacks sufficient labeled data for specific tasks requiring s…
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis
Diogo J. Araújo, M. Rita Verdelho, Alceu Bissoto +3
Deep learning models have revolutionized the field of medical image analysis, due to their outstanding performances. However, they are sensitive to spurious correlations, often tak…