Author

Shuai Ye

Carnegie Mellon UniversityORCID 0000-0002-9862-4983Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Assay:electrophysiology· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Bin HeiD· 2 shared Abbas Sohrabpour· 1 shared Anto I. BagiciD· 1 shared Rui Sun· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersNeuroscience

Bin HeORCID

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2 papers

Recent·Most cited

Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy

Shuai Ye, Anto I. Bagic, Bin He

This paper proposes a framework to disentangle brain networks from resting state EEG/MEG recordings to localize epileptogenic zones in focal epilepsy, showing reasonable localization in 6/10 patients.

Brain Topography · Dec 19, 2023Peer-reviewedNeuroscience

SIFNet: Electromagnetic Source Imaging Framework Using Deep Neural Networks

Rui Sun, Abbas Sohrabpour, Shuai Ye, Bin He

SIFNet uses deep learning to improve source imaging from EEG/MEG data, showing better performance than traditional methods in simulations and clinical epilepsy data.

bioRxiv · May 11, 2020 · PreprintBioengineering