Author

Chunyu Song

Washington University in St. LouisORCID 0000-0002-6181-4142Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 4 Research Focus:differential expression· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Peng SuniD· 4 shared Sheng‐Kwei SongiD· 4 shared Zezhong YeiD· 4 shared Anthony T. WuiD· 3 shared Joshua Yao-Yu LiniD· 3 shared Ruimeng YangiD· 3 shared Sam E. GaryiD· 3 shared Jeffrey D. Viox· 2 shared

Activity by Year

2020-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersNeuroscience

Peng SunORCID

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Author profile →

4 papers

Recent·Most cited

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, Peng Sun, Chengwei Shao, Yong-wei Yu, Luguang Chen, Yasheng Zhu, Anthony T. Wu, Ajit George, Chunyu Song, Ruimeng Yang, Jie Zhan, Sam E. Gary, Jeffrey D. Viox, , Sheng‐Kwei Song

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

bioRxiv · Mar 22, 2021 · PreprintBioinformatics

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

Zezhong Ye, Sam E. Gary, Peng Sun, Sourajit M. Mustafi, G. Russell Glenn, Fang-Cheng F. Yeh, Harri Merisaari, Chunyu Song, Ruimeng Yang, Guo‐Shu Huang, Hung‐Wen Kao, Chien-Yuan Eddy Lin, Yu‐Chien Wu, Jens H. Jensen, 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.

NMR in Biomedicine · Oct 4, 2020Peer-reviewedNeuroscience

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, Joshua Yao-Yu Lin, Qingsong Yang, Peng Sun, Anthony T. Wu, Liang You Wang, Rowland H. Han, Chunyu Song, Ruimeng Yang, Sam E. Gary, Diane D. Mao, Michael Wallendorf, Jian Li Campian, , 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.

Clinical Cancer Research · Jul 21, 2020Peer-reviewedNeuroscience

Diffusion Basis Spectrum Imaging with Deep Neural Network Differentiates Distinct Histology in Pediatric Brain Tumors

Zezhong Ye, Komal K. Srinivasa, Joshua Yao-Yu Lin, Jeffrey D. Viox, Chunyu Song, Anthony T. Wu, Peng Sun, Sheng‐Kwei Song, Sonika M Dahiya, Joshua B. Rubin

This paper introduces DHI, a method combining diffusion basis spectrum imaging and deep neural networks to classify pediatric brain tumor histology with high accuracy.

bioRxiv · Apr 2, 2020 · PreprintNeuroscience