Abstract
The early postnatal period witnesses rapid and dynamic brain development. Understanding the cognitive development patterns can help identify various disorders at early ages of life and is essential for the health and well-being of children. This inspires us to investigate the relation between cognitive ability and the cerebral cortex by exploiting brain images in a longitudinal study. Specifically, we aim to predict the infant brain development status based on the morphological features of the cerebral cortex. For this goal, we introduce a multi-view multi-task learning approach to dexterously explore complementary information from different time points and handle the missing data simultaneously. Specifically, we establish a novel model termed as Latent Partial Multi-view Representation Learning. The approach regards data of different time points as different views, and constructs a latent representation to capture the complementary underlying information from different and even incomplete time points. It uncovers the latent representation that can be jointly used to learn the prediction model. This formulation elegantly explores the complementarity, effectively reduces the redundancy of different views, and improves the accuracy of prediction. The minimization problem is solved by the Alternating Direction Method of Multipliers (ADMM). Experimental results on real data validate the proposed method.
Original language | English |
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Title of host publication | 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 |
Publisher | IEEE Computer Society |
Pages | 1048-1051 |
Number of pages | 4 |
ISBN (Electronic) | 9781538636367 |
DOIs | |
Publication status | Published - 2018 May 23 |
Event | 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States Duration: 2018 Apr 4 → 2018 Apr 7 |
Publication series
Name | Proceedings - International Symposium on Biomedical Imaging |
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Volume | 2018-April |
ISSN (Print) | 1945-7928 |
ISSN (Electronic) | 1945-8452 |
Other
Other | 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 |
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Country/Territory | United States |
City | Washington |
Period | 18/4/4 → 18/4/7 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Cognitive ability
- Infant brain development
- Longitudinal analysis
- Multi-view learning
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging