Author

Vraj Dharmesh Desai

University of Southern California

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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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:diffusion model· 2 Assay:imaging· 2 Research Focus:database / resource· 1

Frequent Co-Authors

Chirag JagadiD· 2 shared Julio E. Villalón‐ReinaiD· 2 shared Paul M. ThompsoniD· 2 shared R Varshney Kush· 2 shared Sophia I. ThomopoulosiD· 2 shared Tamoghna ChattopadhyayiD· 2 shared Greg Ver SteegiD· 1 shared José Luis AmbiteiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersNeuroscience

Chirag JagadORCID

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Author profile →

2 papers

Recent·Most cited

Evaluating Synthetic Diffusion MRI Maps created with Diffusion Denoising Probabilistic Models

Tamoghna Chattopadhyay, Chirag Jagad, R Varshney Kush, Vraj Dharmesh Desai, Sophia I. Thomopoulos, Julio E. Villalón‐Reina, Paul M. Thompson

The paper generates synthetic diffusion MRI maps using diffusion models and evaluates their realism and utility for improving AI classifiers.

SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications · Apr 10, 2025Peer-reviewedNeuroscience

Synthetic Diffusion Tensor Imaging Maps Generated by 2D and 3D Probabilistic Diffusion Models: Evaluation and Applications

Tamoghna Chattopadhyay, Chirag Jagad, R Varshney Kush, Vraj Dharmesh Desai, Sophia I. Thomopoulos, Julio E. Villalón‐Reina, José Luis Ambite, Greg Ver Steeg, Paul M. Thompson

This study evaluates 2D and 3D diffusion models for generating synthetic DTI maps, finding 3D models perform better in downstream tasks like sex and dementia classification.

bioRxiv · Feb 21, 2025 · PreprintNeuroscience