Author

Hua Guo

Tsinghua UniversityORCID 0000-0002-0482-1493Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 4 Organism:human· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1

Frequent Co-Authors

Jieying ZhangiD· 2 shared Ang LiiD· 1 shared Bing LiuiD· 1 shared Dai ZhangiD· 1 shared Hao YaniD· 1 shared Hongxing ZhangiD· 1 shared Huaning WangiD· 1 shared Huiling WangiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersNeuroscience

Jieying ZhangORCID

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4 papers

Recent·Most cited

Denoising complex-valued diffusion MR images using a two-step non-local principal component analysis approach

Xinyu Ye, Xiaodong Ma, Ziyi Pan, Zhe Zhang, Hua Guo, Kǎmil Uǧurbil, Xiaoping Wu

This paper introduces a two-step non-local PCA method for denoising diffusion MRI with few diffusion directions, improving image quality and DTI metric estimation.

Magnetic Resonance in Medicine · Mar 13, 2025Peer-reviewedNeuroscience

Sampling strategies and integrated reconstruction for reducing distortion and boundary slice aliasing in high-resolution 3D diffusion MRI

Ziyu Li, Karla L. Miller, Jesper Andersson, Jieying Zhang, Simin Liu, Hua Guo, Wenchuan Wu

This paper introduces a method to reduce distortion and boundary slice aliasing in 3D diffusion MRI without increasing scan time, achieving high-resolution imaging with improved anatomical fidelity.

Magnetic Resonance in Medicine · Jun 15, 2023Peer-reviewedNeuroscience

Simultaneous Super-Resolution and Distortion Correction for Single-shot EPI DWI using Deep Learning

Xinyu Ye, Peipei Wang, Sisi Li, Jieying Zhang, Yuan Lian, Yajing Zhang, Jie Lu, Hua Guo

This paper develops a deep learning method to enhance resolution and correct distortion in single-shot EPI DWI images using a modified GAN architecture and a fractional anisotropy loss.

bioRxiv · Dec 3, 2021 · PreprintNeuroscience

Reproducible abnormalities of functional gradient reliably predict clinical and cognitive symptoms in schizophrenia

Meng Wang, Ang Li, Yong Liu, Hao Yan, Yuqing Sun, Ming Song, Jun Chen, Yunchun Chen, Huaning Wang, Hua Guo, Ping Wan, Luxian Lv, Yongfeng Yang, Peng Li, Lin Lü, , Bing Liu

The paper identifies reproducible functional gradient abnormalities in schizophrenia that correlate with clinical and cognitive symptom severity using resting-state fMRI data.

bioRxiv · Nov 24, 2020 · PreprintNeuroscience