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Tong He proslijedio/la je Tweet
2/2 all algorithms dramatically improved when sample size increased from 100 to 1000. Improvement was smaller, but still significant, when sample size increased from 1000 to 5000 subjects. KRR was competitive at all sample sizes. Publicly available code: https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/predict_phenotypes/He2019_KRDNN …pic.twitter.com/2UPD1oz7zt
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Tong He proslijedio/la je Tweet
1/2 Updated preprint (https://www.biorxiv.org/content/10.1101/473603v2 …) showing that kernel regression and DNNs have equal performance for RSFC behavioral prediction. In this version, we found that ...
@hetong93@rubykong92@danilobzdok@INM7_ISN@mertrory@AvramHolmeshttps://twitter.com/bttyeo/status/1064858455377240064 …
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Preprint: https://www.biorxiv.org/content/early/2018/11/19/473603 … We compare kernel regression with deep neural networks (DNNs) for functional connectivity behavioral prediction using ~10,000 participants. Hint: DNNs do not perform better
@hetong93@rubykong92@danilobzdok@INM7_ISN@mertrory@AvramHolmespic.twitter.com/LdqSIyfguJ
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Tong He proslijedio/la je Tweet
Are personality and brain structure shaped by similar genetic processes? Find out at
@sofievalk's poster 1638#OHBM2018 pic.twitter.com/Gz3RXPT331pic.twitter.com/nNvPmrL59b
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Tong He proslijedio/la je Tweet
2/4
#OHBM2018 #1090:@SunNanbo found latent AD factors underlying cognitive, atrophy, tau heterogeneity #1172:@tangsy93 found latent Autism factors with dissociable RSFC & behavior #1411:@valeria_kebets found latent behavioral and RSFC components across mental disorderspic.twitter.com/YVuDzBAPFr
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4/4
#OHBM2018 #2259: Minh shows that recurrent neural networks can predict AD progression 5 years into the future #2499:@Jadecci shows off her MNI152-fsaverage mapping from this thread https://twitter.com/bttyeo/status/998375689815388160 …pic.twitter.com/JFjJUpzW2d
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1/4 Come by our
#OHBM2018 posters & discuss! #2380:@rubykong92 presents her individual-specific network parcellations from this thread: https://twitter.com/bttyeo/status/1006089738225238016 … #2530: Dragana presents a new multisubject stochastic blockmodels with subject-varying cluster assignmentpic.twitter.com/biPFkmbbYM
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3/4
#OHBM2018 #2621 Rajan shows that individual-specific resting-fMRI subspaces improve behavioral prediction #2391@hetong93 compares deep learning & kernel regression. PRNI best paper runner-up! #2370 @RLiegeois_Neuro shows that dynamic & static FC encode distinct behaviorspic.twitter.com/VxXsVZWQEt
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