1 citations · 2 across the 11 of their papers we have counts for
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Real-World Multi-Modal and Longitudinal Lung Cancer Dataset
Rita Cordeiro Mendes, Maria Rita Fonseca Verdelho, Carlos Santiago +1
Multi-modal learning has demonstrated strong potential in medical applications by integrating heterogeneous data sources such as medical imaging, clinical records, and genomics to…
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…
The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers
Rita Pereira, M. Rita Verdelho, Catarina Barata +1
Whole Slide Imaging (WSI), which involves high-resolution digital scans of pathology slides, has become the gold standard for cancer diagnosis, but its gigapixel resolution and the…
MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems
Tiago Mota, M. Rita Verdelho, Alceu Bissoto +2
The acquisition of different data modalities can enhance our knowledge and understanding of various diseases, paving the way for a more personalized healthcare. Thus, medicine is p…