HydroChronos: Forecasting Long-Term Surface Water Dynamics from Multi-Modal Data
Daniele Rege Cambrin, Politecnico di Torino, Italy Aiko Space et al.
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AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction
The MAMA-MIA Challenge provides standardized datasets, evaluation protocols, and public resources to promote the development of robust and equitable artificial intelligence systems for breast cancer imaging.
Lidia Garrucho, Smriti Joshi, Kaisar Kushibar et al.
· IEEE Transactions on Medical... · 2 citations