Author

Ulaş Bağcı

University of Central FloridaORCID 0000-0001-7379-6829Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Harish RaviPrakashiD· 2 shared Syed Muhammad AnwariD· 2 shared Christine M. Salinas· 1 shared Concetto SpampinatoiD· 1 shared Eduardo M. Castillo· 1 shared James E. BaumgartneriD· 1 shared Ki Hyeong LeeiD· 1 shared Milena KorostenskajaiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 30 mutual co-author links

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2 shared papersNeuroscience

Harish RaviPrakashORCID

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2 papers

Recent·Most cited

NeuroscienceFrontiers in NeurosciencePeer-reviewedFeb 19, 2021

Morphometric and Functional Brain Connectivity Differentiates Chess Masters from Amateur Players

Harish RaviPrakash, Syed Muhammad Anwar, Nadia M. Biassou, Ulaş Bağcı

This study develops a computational pipeline to differentiate chess masters from amateurs using functional and morphometric brain connectivity features, identifying distinct network differences.

12 citations

humanimaging

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NeuroscienceFrontiers in NeurosciencePeer-reviewedMay 6, 2020

Deep Learning provides exceptional accuracy to ECoG-based Functional Language Mapping for epilepsy surgery

Harish RaviPrakash, Milena Korostenskaja, Eduardo M. Castillo…·Ulaş Bağcı

This study develops a deep learning algorithm for ECoG-based functional language mapping, achieving 83.05% accuracy comparable to ESM, improving upon conventional ECoG-FM by 23%.

46 citations

humanelectronic health records

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