Author

Ramesh K. Shori

University of California, Los Angeles

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 Cancer Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Maie A. St. JohniD· 2 shared Yazeed M. AlhiyariiD· 2 shared Kenric TamiD· 1 shared Laith A. MukdadiD· 1 shared Lauran K. EvansiD· 1 shared Ren OdioniD· 1 shared Tuan Vo-Dinh· 1 shared Tuan Vo‐DinhiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersCancer Biology

Maie A. St. JohnORCID

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2 papers

Recent·Most cited

Cancer BiologyBiophotonics discovery.Peer-reviewedJan 2, 2026

Machine Learning-Based Tumor Segmentation and Classification Using Dynamic Optical Contrast Imaging (DOCI) for Thyroid Cancer

Tyler Vasse, Yazeed M. Alhiyari, Lauran K. Evans…·Tuan Vo-Dinh

This paper uses machine learning with DOCI imaging to improve tumor segmentation and classification in thyroid cancer, achieving high accuracy in tissue type distinction.

DOI 10.1117/1.bios.3.1.015001

humanimaging

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 26, 2022

AI-Enabled Classification of Head and Neck Tumors using Convolutional Neural Networks with Dynamic Optical Contrast Imaging

Ren Odion, Laith A. Mukdad, Yazeed M. Alhiyari…·Maie A. St. John

This paper applies a convolutional neural network to dynamic optical contrast imaging for tumor classification in head and neck cancers, achieving high accuracy in non-tumor tissue classification.

DOI 10.1101/2022.10.26.513814

humanimaging

𝕏 PostBluesky