Author

Sankalp Goberdhan

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

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Adrian BretoiD· 1 shared Ahmad AlgoharyiD· 1 shared Anton Mahne· 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

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Adrian BretoORCID

Mutual co-authors in cluster

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