Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2016 1
2017 1
2018 1
2022 0
Text availability
Article attribute
Article type
Publication date

Search Results

2 results
Results by year

Citations

1 article found by citation matching

Search results

Filters applied: . Clear all
Page 1
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia.
Qi S, Calhoun VD, van Erp TGM, Bustillo J, Damaraju E, Turner JA, Du Y, Yang J, Chen J, Yu Q, Mathalon DH, Ford JM, Voyvodic J, Mueller BA, Belger A, McEwen S, Potkin SG, Preda A, Jiang T, Sui J. Qi S, et al. IEEE Trans Med Imaging. 2018 Jan;37(1):93-105. doi: 10.1109/TMI.2017.2725306. Epub 2017 Jul 11. IEEE Trans Med Imaging. 2018. PMID: 28708547 Free PMC article.
Here, we proposed a fusion with reference model called "multi-site canonical correlation analysis with reference + joint-independent component analysis" (MCCAR+jICA), which can precisely identify co-varying multimodal imaging patterns clo …
Here, we proposed a fusion with reference model called "multi-site canonical correlation analysis with reference + j
Supervised multimodal fusion and its application in searching joint neuromarkers of working memory deficits in schizophrenia.
Shile Qi, Calhoun VD, van Erp TG, Damaraju E, Bustillo J, Yuhui Du, Turner JA, Mathalon DH, Ford JM, Voyvodic J, Mueller BA, Belger A, McEwen S, Potkin SG, Preda A, Birn F, Tianzi Jiang, Jing Sui. Shile Qi, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:4021-4026. doi: 10.1109/EMBC.2016.7591609. Annu Int Conf IEEE Eng Med Biol Soc. 2016. PMID: 28269167
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches are unsupervised; there is need for a multivariate method that can adopt prior information to guide multimodal fusion. ...
Multimodal fusion is an effective approach to better understand brain disease. To date, most current fusion approaches