Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions
Lyujian Lu, Saad Elbeleidy, Lauren Baker, Hua Wang, Heng Huang, Li Shen
MICCAI - 2019
Alzheimer's Disease (AD) is a severe progressive neurodegenerative disorder, threatening the health of millions of people. Many longitudinal prediction models have been proposed to study clinical scores for automatic AD diagnosis. For accurate clinical score prediction, one major challenge is missing patient temporal neuroimaging data over AD progressions. To address this issue, we present an unsupervised method to learn enriched imaging biomarker representation that can simultaneously capture all the baseline neuroimaging measures and progressive variations of the available follow-up measurements of each participant. Our experiments on Alzheimer's Disease Neuroimaging Initiative (ADNI) demonstrate that the proposed approach not only achieves improved regression performance, but also successfully identifies disease relevant biomarkers.
Links
- View publications from Saad Elbeleidy
- View publications from Zoe Baker
- View publications from Lyujian Lu
- View publications from Hua Wang
- View publications presented in MICCAI
- View publications in the project, An Intelligence-Driven Patient Care Approach to Reduce Medical Errors
- View publications in the project, Mining Brain Imaging Genomics Data for Improved Cognitive Health
- View publications researching Embeddings
- View publications researching Longitudinal / Temporal Learning Models
- View publications applied to Bioinformatics
- View publications applied to Medical Image Computing
Cite this paper
MLA
Lu, Lyujian, et al. "Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions." International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019.
BibTeX
@inproceedings{lu2019improved,
title={Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments over Progressions},
author={Lu, Lyujian and Elbeleidy, Saad and Baker, Lauren and Wang, Hua and Huang, Heng and Shen, Li and others},
booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
pages={140--148},
year={2019},
organization={Springer}
}