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Author

Carla Pitarch-Abaigar

2 papers indexed here

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Preprint Oct 2026

The Federated Tumor Segmentation and Classification (FeTS++) Challenge

International challenges have become the standard for developing and benchmarking biomedical image analysis methods using centralized multi-institutional data. Federated learning (FL) describes a paradigm-shift on multi-institutional collaborations, where models are trained across institutions while their data are alwa...

Wen-Yi Tang, Carla Pitarch-Abaigar, Siddhesh P. Thakur et al. · 0 citations
Open access Oct 2026

AI-Based Prognostic Risk Stratification of Adult-Type Diffuse Glioma Patients from H&E-Stained Slides

Background/Objectives: Adult-type diffuse gliomas (ADGs) are aggressive brain tumors with highly variable clinical outcomes. Prognostic assessment directly from routine hematoxylin and eosin (H&E)-stained whole-slide images (WSIs) could support personalized decision-making. Methods: To our knowledge, this is the first...

S. Innani, Carla Pitarch-Abaigar, Marwan M. Majeed et al. · 0 citations

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