Predicting Alzheimer’s Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging

@article{Guo2019PredictingAD,
  title={Predicting Alzheimer’s Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging},
  author={Jiaming Guo and Wei Qiu and Xiang Li and Xuandong Zhao and N. Guo and Quanzheng Li},
  journal={2019 IEEE International Conference on Big Data (Big Data)},
  year={2019},
  pages={5359-5363}
}
  • Jiaming Guo, Wei Qiu, +3 authors Quanzheng Li
  • Published 2019
  • Computer Science, Engineering, Mathematics
  • 2019 IEEE International Conference on Big Data (Big Data)
Imaging-based early diagnosis of Alzheimer Disease (AD) has become an effective approach, especially by using nuclear medicine imaging techniques such as Positron Emission Topography (PET). In various literature it has been found that PET images can be better modeled as signals (e.g. uptake of florbetapir) defined on a network (non-Euclidean) structure which is governed by its underlying graph patterns of pathological progression and metabolic connectivity. In order to effectively apply deep… Expand
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References

SHOWING 1-10 OF 28 REFERENCES
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain.
  • 142
  • Highly Influential
  • PDF
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
  • 460
  • PDF
Locally linear embedding (LLE) for MRI based Alzheimer's disease classification
  • 100
Connectivity analysis of normal and mild cognitive impairment patients based on FDG and PiB-PET images
  • 16
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset
  • 185
  • PDF
Identification of MCI individuals using structural and functional connectivity networks
  • 292
  • PDF
Enriched white matter connectivity networks for accurate identification of MCI patients
  • 176
  • PDF
Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas.
  • 420
  • PDF
...
1
2
3
...