Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Changqing | - |
dc.contributor.author | Adeli, Ehsan | - |
dc.contributor.author | Wu, Zhengwang | - |
dc.contributor.author | Li, Gang | - |
dc.contributor.author | Lin, Weili | - |
dc.contributor.author | Shen, Dinggang | - |
dc.date.accessioned | 2021-09-01T16:49:56Z | - |
dc.date.available | 2021-09-01T16:49:56Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2019-04 | - |
dc.identifier.issn | 0278-0062 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/66398 | - |
dc.description.abstract | The early postnatal period witnesses rapid and dynamic brain development. However, the relationship between brain anatomical structure and cognitive ability is still unknown. Currently, there is no explicit model to characterize this relationship in the literature. In this paper, we explore this relationship by investigating the mapping between morphological features of the cerebral cortex and cognitive scores. To this end, we introduce a multi-view multi-task learning approach to intuitively explore complementary information from different time-points and handle the missing data issue in longitudinal studies simultaneously. Accordingly, we establish a novel model, latent partial multi-view representation learning. Our approach regards data from different time-points as different views and constructs a latent representation to capture the complementary information from incomplete time-points. The latent representation explores the complementarity across different time-points and improves the accuracy of prediction. The minimization problem is solved by the alternating direction method of multipliers. Experimental results on both synthetic and real data validate the effectiveness of our proposed algorithm. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | CORTICAL SURFACE ATLASES | - |
dc.subject | LONGITUDINAL DEVELOPMENT | - |
dc.subject | CEREBRAL-CORTEX | - |
dc.subject | THICKNESS | - |
dc.subject | LANGUAGE | - |
dc.subject | AREA | - |
dc.subject | ASYMMETRIES | - |
dc.subject | ALGORITHM | - |
dc.subject | FRAMEWORK | - |
dc.subject | VOLUME | - |
dc.title | Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Shen, Dinggang | - |
dc.identifier.doi | 10.1109/TMI.2018.2874964 | - |
dc.identifier.scopusid | 2-s2.0-85054615632 | - |
dc.identifier.wosid | 000463608000004 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON MEDICAL IMAGING, v.38, no.4, pp.909 - 918 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON MEDICAL IMAGING | - |
dc.citation.title | IEEE TRANSACTIONS ON MEDICAL IMAGING | - |
dc.citation.volume | 38 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 909 | - |
dc.citation.endPage | 918 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Biomedical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.subject.keywordPlus | CORTICAL SURFACE ATLASES | - |
dc.subject.keywordPlus | LONGITUDINAL DEVELOPMENT | - |
dc.subject.keywordPlus | CEREBRAL-CORTEX | - |
dc.subject.keywordPlus | THICKNESS | - |
dc.subject.keywordPlus | LANGUAGE | - |
dc.subject.keywordPlus | AREA | - |
dc.subject.keywordPlus | ASYMMETRIES | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | FRAMEWORK | - |
dc.subject.keywordPlus | VOLUME | - |
dc.subject.keywordAuthor | Infant brain development | - |
dc.subject.keywordAuthor | longitudinal analysis | - |
dc.subject.keywordAuthor | cognitive ability | - |
dc.subject.keywordAuthor | multi-view learning | - |
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