Author

Piyush Maiti

University of Southern CaliforniaORCID 0009-0002-8006-1032Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Assay:imaging· 2 Research Focus:software / tool· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Alyssa H. ZhuiD· 2 shared Hosung KimiD· 2 shared Mengting LiuiD· 2 shared Neda JahanshadiD· 2 shared Sophia I. ThomopoulosiD· 2 shared Yaqiong ChaiiD· 2 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Shruti P. GadewariD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 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

2 shared papersNeuroscience

Alyssa H. ZhuORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

NeuroscienceHuman Brain MappingPeer-reviewedJul 20, 2023

Style Transfer Generative Adversarial Networks to Harmonize Multi-Site MRI to a Single Reference Image to Avoid Over-Correction

Mengting Liu, Alyssa H. Zhu, Piyush Maiti…·Alzheimer’s Disease Neuroimaging Initiative

This paper uses a GAN-based style transfer approach to harmonize multi-site MRI images without site labels, effectively removing cross-site variation while preserving clinical patterns.

49 citationstop 1%

imagingdeep learning

𝕏 PostBluesky

NeuroscienceLecture notes in computer sciencePeer-reviewedJan 1, 2021

Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

Mengting Liu, Piyush Maiti, Sophia I. Thomopoulos…·Neda Jahanshad

This paper uses a GAN-based style transfer approach to harmonize multi-site MRI images without requiring site labels or traveling subjects.

80 citationstop 1%

imagingdeep learning

𝕏 PostBluesky