Author

Karthik Ramakrishnan Sreenivasan

Cleveland Clinic

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 2

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Dietmar CordesiD· 2 shared Virendra R. MishraiD· 2 shared Xiaowei ZhuangiD· 2 shared Aaron R. Ritter· 1 shared Charles B. BernickiD· 1 shared Sarah Jane BanksiD· 1 shared Tim CurraniD· 1 shared Zhengshi YangiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersNeuroscience

Dietmar CordesORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 25, 2021

Towards Understanding Comprehensive Morphometric Changes and Its Correlation with Cognition and Exposure to Fighting in Active Professional Boxers

Virendra R. Mishra, Xiaowei Zhuang, Karthik Ramakrishnan Sreenivasan…·Charles B. Bernick

This study compares neuroanatomical differences between impaired and nonimpaired active professional boxers using morphometric and machine-learning analyses.

1 citation

humanimaging

𝕏 PostBluesky

NeuroscienceMedical Image AnalysisPeer-reviewedNov 26, 2019

A robust deep neural network for denoising task-based fMRI data: An application to working memory and episodic memory

Zhengshi Yang, Xiaowei Zhuang, Karthik Ramakrishnan Sreenivasan…·Dietmar Cordes

This paper introduces a deep neural network for denoising task-based fMRI data, showing improved activation detection and noise reduction in both simulated and real-world memory task data.

35 citations

deep learning

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