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Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks.

, , , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 640-648. Springer, (2019)

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Latent Graph Inference using Product Manifolds., , , and . CoRR, (2022)RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data., , , , and . CoRR, (2021)Automatic Classification of Proximal Femur Fractures Based on Attention Models., , , , , , and . MLMI@MICCAI, volume 10541 of Lecture Notes in Computer Science, page 70-78. Springer, (2017)InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction., , , , , , , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 73-85. Springer, (2019)Latent-Graph Learning for Disease Prediction., , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 643-653. Springer, (2020)IA-GCN: Interpretable Attention Based Graph Convolutional Network for Disease Prediction., , , and . MLMI@MICCAI (1), volume 14348 of Lecture Notes in Computer Science, page 382-392. Springer, (2023)IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction., , and . CoRR, (2021)On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions., , , , , and . CoRR, (2024)Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification., , , , , , , and . CoRR, (2019)GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference., , , , , and . MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 709-718. Springer, (2021)