Author

Anton Mahne

University of Central Florida

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

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Adrian BretoiD· 1 shared Ahmad AlgoharyiD· 1 shared Derek J. Van BooveniD· 1 shared Himanshu AroraiD· 1 shared Isaac R. L. XuiD· 1 shared Joao G. PortoiD· 1 shared Mohammad AlhusseiniiD· 1 shared Radka S. StoyanovaiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Adrian BretoORCID

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Author profile →

1 paper

Recent·Most cited

Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images

Isaac R. L. Xu, Derek J. Van Booven, Sankalp Goberdhan, Adrian Breto, Joao G. Porto, Mohammad Alhusseini, Ahmad Algohary, Radka S. Stoyanova, Sanoj P. Punnen, Anton Mahne, Himanshu Arora

This study uses GAN to generate high-quality synthetic prostate cancer MRI images, showing that even inexperienced users can misidentify them as real.

Journal of Personalized Medicine · Mar 18, 2023Peer-reviewedBioinformatics