1. Learning brain representation using recurrent Wasserstein generative adversarial net. (August 2022) Authors: Qiang, Ning; Dong, Qinglin; Liang, Hongtao; Li, Jin; Zhang, Shu; Zhang, Cheng; Ge, Bao; Sun, Yifei; Gao, Jie; Liu, Tianming; Yue, Huiji; Zhao, Shijie Journal: Computer methods and programs in biomedicine Issue: Volume 223(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder. (23rd July 2021) Authors: Qiang, Ning; Dong, Qinglin; Liang, Hongtao; Ge, Bao; Zhang, Shu; Sun, Yifei; Zhang, Cheng; Zhang, Wei; Gao, Jie; Liu, Tianming Journal: Journal of neural engineering Issue: Volume 18:Number 4(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Modeling task-based fMRI data via deep belief network with neural architecture search. (July 2020) Authors: Qiang, Ning; Dong, Qinglin; Zhang, Wei; Ge, Bao; Ge, Fangfei; Liang, Hongtao; Sun, Yifei; Gao, Jie; Liu, Tianming Journal: Computerized medical imaging and graphics Issue: Volume 83(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗