Qiang N - Search Results

1

A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks.

Qiang N, Gao J, Dong Q, Li J, Zhang S, Liang H, Sun Y, Ge B, Liu Z, Wu Z, Liu T, Yue H, Zhao S. Qiang N, et al. Behav Brain Res. 2023 Aug 24;452:114603. doi: 10.1016/j.bbr.2023.114603. Epub 2023 Jul 27. Behav Brain Res. 2023. PMID: 37516208

2

Modeling task-based fMRI data via deep belief network with neural architecture search.

Qiang N, Dong Q, Zhang W, Ge B, Ge F, Liang H, Sun Y, Gao J, Liu T. Qiang N, et al. Comput Med Imaging Graph. 2020 Jul;83:101747. doi: 10.1016/j.compmedimag.2020.101747. Epub 2020 Jun 6. Comput Med Imaging Graph. 2020. PMID: 32593949 Free PMC article.

3

Simultaneous spatial-temporal decomposition for connectome-scale brain networks by deep sparse recurrent auto-encoder.

Li Q, Dong Q, Ge F, Qiang N, Wu X, Liu T. Li Q, et al. Among authors: qiang n. Brain Imaging Behav. 2021 Oct;15(5):2646-2660. doi: 10.1007/s11682-021-00469-w. Epub 2021 Mar 23. Brain Imaging Behav. 2021. PMID: 33755922

4

Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder.

Qiang N, Dong Q, Liang H, Ge B, Zhang S, Sun Y, Zhang C, Zhang W, Gao J, Liu T. Qiang N, et al. J Neural Eng. 2021 Jul 23;18(4). doi: 10.1088/1741-2552/ac1179. J Neural Eng. 2021. PMID: 34229310

5

Learning brain representation using recurrent Wasserstein generative adversarial net.

Qiang N, Dong Q, Liang H, Li J, Zhang S, Zhang C, Ge B, Sun Y, Gao J, Liu T, Yue H, Zhao S. Qiang N, et al. Comput Methods Programs Biomed. 2022 Aug;223:106979. doi: 10.1016/j.cmpb.2022.106979. Epub 2022 Jun 27. Comput Methods Programs Biomed. 2022. PMID: 35792364

6

An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset.

Zhang S, Wu L, Yu S, Shi E, Qiang N, Gao H, Zhao J, Zhao S. Zhang S, et al. Among authors: qiang n. IEEE Trans Neural Netw Learn Syst. 2024 Jun;35(6):7339-7350. doi: 10.1109/TNNLS.2022.3214225. Epub 2024 Jun 3. IEEE Trans Neural Netw Learn Syst. 2024. PMID: 36331650

7

Accurate corresponding fiber tract segmentation via FiberGeoMap learner with application to autism.

Wang Z, He M, Lv Y, Ge E, Zhang S, Qiang N, Liu T, Zhang F, Li X, Ge B. Wang Z, et al. Among authors: qiang n. Cereb Cortex. 2023 Jun 20;33(13):8405-8420. doi: 10.1093/cercor/bhad125. Cereb Cortex. 2023. PMID: 37083279

8

Multi-head attention-based masked sequence model for mapping functional brain networks.

He M, Hou X, Ge E, Wang Z, Kang Z, Qiang N, Zhang X, Ge B. He M, et al. Among authors: qiang n. Front Neurosci. 2023 May 4;17:1183145. doi: 10.3389/fnins.2023.1183145. eCollection 2023. Front Neurosci. 2023. PMID: 37214388 Free PMC article.

9

Functional brain network identification and fMRI augmentation using a VAE-GAN framework.

Qiang N, Gao J, Dong Q, Yue H, Liang H, Liu L, Yu J, Hu J, Zhang S, Ge B, Sun Y, Liu Z, Liu T, Li J, Song H, Zhao S. Qiang N, et al. Comput Biol Med. 2023 Oct;165:107395. doi: 10.1016/j.compbiomed.2023.107395. Epub 2023 Sep 1. Comput Biol Med. 2023. PMID: 37669583

10

Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI.

Liu Y, Ge E, Kang Z, Qiang N, Liu T, Ge B. Liu Y, et al. Among authors: qiang n. Neuroimage. 2024 Feb 15;287:120519. doi: 10.1016/j.neuroimage.2024.120519. Epub 2024 Jan 26. Neuroimage. 2024. PMID: 38280690 Free article.

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