Author

Ruimeng Yang

Guangzhou First People's HospitalORCID 0000-0003-2768-9429Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Chunyu SongiD· 3 shared Peng SuniD· 3 shared Sam E. GaryiD· 3 shared Sheng‐Kwei SongiD· 3 shared Zezhong YeiD· 3 shared Anthony T. WuiD· 2 shared Joshua Yao-Yu LiniD· 2 shared Qingsong YangiD· 2 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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3 shared papersNeuroscience

Chunyu SongORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 22, 2021

Deep neural network analysis employing diffusion basis spectrum imaging metrics as classifiers improves prostate cancer detection and grading

Zezhong Ye, Qingsong Yang, Joshua Yao-Yu Lin…·Sheng‐Kwei Song

Diffusion histology imaging noninvasively and accurately detects and grades prostate cancer.

DOI 10.1101/2021.03.22.436514

𝕏 PostBluesky

NeuroscienceNMR in BiomedicinePeer-reviewedOct 4, 2020

The Impact of Edema and Fiber Crossing on Diffusion MRI Metrics: DBSI vs. Diffusion ODF

Zezhong Ye, Sam E. Gary, Peng Sun…·Sheng‐Kwei Song

This study compares diffusion MRI metrics in simulated edema and fiber crossing, finding DBSI provides more accurate diffusivity and angle estimates than DTI and other methods.

27 citations

𝕏 PostBluesky

NeuroscienceClinical Cancer ResearchPeer-reviewedJul 21, 2020

Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology

Zezhong Ye, Richard L. Price, Xiran Liu…·Sheng‐Kwei Song

This paper introduces a novel Diffusion Histology Imaging (DHI) approach combining DBSI and machine learning to improve detection and classification of glioblastoma histopathology features.

40 citations

𝕏 PostBluesky