Anees Kazi

Latest

• Precise proximal femur fracture classification for interactive training and surgical planning.
• Adaptive image-feature learning for disease classification using inductive graph networks
• Graph Convolution Based Attention Model for Personalized Disease Prediction
• InceptionGCN: receptive field aware graph convolutional network for disease prediction
• Self-attention equipped graph convolutions for disease prediction
• Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification
• Weakly-supervised localization and classification of proximal femur fractures
• Automatic classification of proximal femur fractures based on attention models