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Document type:
Konferenzbeitrag 
Author(s):
Kazi, A.; Shekarforoush, S.; Krishna, S.; Burwinkel, H.; Vivar, G.; Wiestler, B.; Kortü m, K.; Ahmadi, A.; Albarqouni, S.; Navab, N. 
Title:
Graph convolution based attention model for personalized disease prediction 
Abstract:
Clinicians implicitly incorporate the complementarity of multi-modal data for disease diagnosis. Often a varied order of importance for this heterogeneous data is considered for personalized decisions. Current learning-based methods have achieved better performance with uniform attention to individual information but a very few have focused on patient-specific attention learning schemes for each modality. Towards this, we introduce a model which not only improves the disease pr...    »
 
Keywords:
MICCAI,CAMP 
Book / Congress title:
International Conference on Medical Image Computing and Computer-Assisted Intervention 
Organization:
Springer 
Year:
2019 
Pages:
122--130