Följ
Lijun An
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År
Predicting Alzheimer's disease progression using deep recurrent neural networks
M Nguyen, T He, L An, DC Alexander, J Feng, BTT Yeo, ...
NeuroImage 222, 117203, 2020
1312020
Meta-matching as a simple framework to translate phenotypic predictive models from big to small data
T He, L An, P Chen, J Chen, J Feng, D Bzdok, AJ Holmes, SB Eickhoff, ...
Nature neuroscience 25 (6), 795-804, 2022
482022
Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity
X Yan, R Kong, A Xue, Q Yang, C Orban, L An, AJ Holmes, X Qian, ...
NeuroImage 273, 120010, 2023
212023
Goal-specific brain MRI harmonization
L An, J Chen, P Chen, C Zhang, T He, C Chen, JH Zhou, BTT Yeo, ...
Neuroimage 263, 119570, 2022
132022
Reliable and generalizable brain-based predictions of cognitive functioning across common psychiatric illness
S Chopra, E Dhamala, C Lawhead, JA Ricard, ER Orchard, L An, P Chen, ...
medRxiv, 2022.12. 08.22283232, 2022
32022
In-vivo whole-cortex marker of excitation-inhibition ratio indexes cortical maturation and cognitive ability in youth
S Zhang, B Larsen, VJ Sydnor, T Zeng, L An, X Yan, R Kong, X Kong, ...
bioRxiv, 2023.06. 22.546023, 2023
12023
DeepResBat: deep residual batch harmonization accounting for covariate distribution differences
L An, C Zhang, N Wulan, S Zhang, P Chen, F Ji, KK Ng, C Chen, JH Zhou, ...
bioRxiv, 2024.01. 18.574145, 2024
2024
Translating phenotypic prediction models from big to small anatomical MRI data using meta-matching
N Wulan, L An, C Zhang, R Kong, P Chen, D Bzdok, SB Eickhoff, ...
bioRxiv, 2023.12. 31.573801, 2024
2024
Multilayer meta-matching: translating phenotypic prediction models from multiple datasets to small data
P Chen, L An, N Wulan, C Zhang, S Zhang, LQR Ooi, R Kong, J Chen, ...
bioRxiv, 2023
2023
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Artiklar 1–9