Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
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Abstract (arXiv)
Early detection of Alzheimer's disease's precursor stages is imperative for significantly enhancing patient outcomes and quality of life. This challenge is tackled through a semi-supervised multi-modal diagnosis framework. In particular, we introduce a new hypergraph framework that enables higher-order relations between multi-modal data, while utilising minimal labels. We first introduce a bilevel hypergraph optimisation framework that jointly learns a graph augmentation policy and a semi-supervised classifier. This dual learning strategy is hypothesised to enhance the robustness and generalisation capabilities of the model by fostering new pathways for information propagation. Secondly, we introduce a novel strategy for generating pseudo-labels more effectively via a gradient-driven flow. Our experimental results demonstrate the superior performance of our framework over current techniques in diagnosing Alzheimer's disease.
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References · 13
- 2017What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?cited by 2,335
- 2019RandAugment: Practical automated data augmentation with a reduced search spacecited by 2,261
- 2020A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challengescited by 813
- 2018Hypergraph Neural Networkscited by 482
- 2021Graph Contrastive Learning Automatedcited by 287
- 2022Data Augmentation for Deep Graph Learning: A Surveycited by 132
- 2018Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Diseasecited by 98
- 2021Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Predictioncited by 20
- 2021Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysiscited by 18
- 2020GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRIcited by 13
- 2022Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classificationcited by 9
- 2021Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Networkcited by 5
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