Author
University of MichiganORCID 0000-0002-0146-8188Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
Xiaokai Wang, Ulrich M. Scheven, Zhongming Liu
This paper develops a non-invasive MRI protocol to capture whole-stomach dynamics in anesthetized rats with high spatiotemporal resolution.
NMR in Biomedicine · Sep 9, 2025Peer-reviewedBioengineering
Karthik Ganesan, John Plass, Adriene M. Beltz, Zhongming Liu, Marcia Grabowecky, Satoru Suzuki, William C. Stacey, Vibhangini S. Wasade, Vernon L. Towle, James X. Tao, Shasha Wu, Naoum P. Issa, David Brang
The paper investigates how visual speech modulates different frequency bands in auditory cortex, revealing distinct temporal and spatial patterns across theta, beta, and high-gamma bands.
European Journal of Neuroscience · Sep 29, 2021Peer-reviewedNeuroscience
Jung‐Hoon Kim, Yizhen Zhang, Kuan Han, Zheyu Wen, Minkyu Choi, Zhongming Liu
This paper uses a variational autoencoder to disentangle sources of variation in resting state fMRI data and shows that latent representations can reliably identify subjects from a large group.
NeuroImage · Jul 23, 2021Peer-reviewedNeuroscience
Kuan Han, Haiguang Wen, Junxing Shi, Kun‐Han Lu, Yizhen Zhang, Di Fu, Zhongming Liu
This paper uses a variational autoencoder to model and decode fMRI activity in the visual cortex, finding lower prediction accuracy compared to CNNs but successful decoding of latent variables.
NeuroImage · May 16, 2019Peer-reviewedNeuroscience
Haiguang Wen, Junxing Shi, Wei Chen, Zhongming Liu
This study develops methods to transfer and generalize deep-learning-based encoding models across subjects using Bayesian inference and incremental data training, applied to fMRI data from naturalistic video watching.
bioRxiv · Aug 1, 2017Neuroscience