Author

Kui Ying

Shanghai Jiao Tong University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

Augusto Lio M. Gonçalves FilhoiD· 1 shared Berkin BilgiçiD· 1 shared Chanon NgamsombatiD· 1 shared Fuhua Yan· 1 shared Guangzhi WangiD· 1 shared Jiawen Sun· 1 shared John ConkliniD· 1 shared Kawin SetsompopiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Augusto Lio M. Gonçalves FilhoORCID

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2 papers

Recent·Most cited

Robust brain complexity measurement using T2* informed multivariate sample entropy from multi-echo BOLD fMRI

Ning Wang, Mingyan Wu, Weihuan Fang, Jiawen Sun, Liwen Zhang, Naying He, Fuhua Yan, Kui Ying, Xingfeng Shao

The paper introduces a T2*-informed multivariate sample entropy method for fMRI data to better measure brain complexity and shows it detects significant group differences in older vs. younger adults.

bioRxiv · Dec 2, 2025 · PreprintBiophysics

High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network

Ziyu Li, Qiyuan Tian, Chanon Ngamsombat, Samuel C. D. Cartmell, John Conklin, Augusto Lio M. Gonçalves Filho, Wei‐Ching Lo, Guangzhi Wang, Kui Ying, Kawin Setsompop, Qiuyun Fan, Berkin Bilgiç, Stephen Cauley, Susie Y. Huang

This paper introduces HDnGAN, a hybrid denoising GAN that improves the quality of fast volumetric MRI by denoising Wave-CAIPI images, achieving better SNR, sharpness, and lesion conspicuity than existing methods.

Medical Physics · Dec 28, 2021Peer-reviewedNeuroscience