3 papers
cs.CV2026
The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction
Lidia Garrucho, Smriti Joshi, Kaisar Kushibar +43
Breast cancer is the most frequently diagnosed malignancy among women worldwide and a leading cause of cancer-related mortality. Dynamic contrast-enhanced magnetic resonance imagin…
cs.CV2024
MRI Breast tissue segmentation using nnU-Net for biomechanical modeling
Melika Pooyan, Hadeel Awwad, Eloy García +1
Integrating 2D mammography with 3D magnetic resonance imaging (MRI) is crucial for improving breast cancer diagnosis and treatment planning. However, this integration is challengin…
cs.CV2024
Graph Neural Networks for modelling breast biomechanical compression
Hadeel Awwad, Eloy García, Robert Martí
Breast compression simulation is essential for accurate image registration from 3D modalities to X-ray procedures like mammography. It accounts for tissue shape and position change…