Author

Jeffrey D. Viox

University of Missouri–Kansas City

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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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Anthony T. WuiD· 2 shared Chunyu SongiD· 2 shared Joshua Yao-Yu LiniD· 2 shared Peng SuniD· 2 shared Sheng‐Kwei SongiD· 2 shared Zezhong YeiD· 2 shared Ajit George· 1 shared Chengwei ShaoiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Anthony T. WuORCID

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Author profile →

2 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

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