Author

R Varshney Kush

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· 3

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Research Focus:benchmarking· 3 Approach:deep learning· 3 Approach:diffusion model· 2 Assay:imaging· 2 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Paul M. ThompsoniD· 3 shared Sophia I. ThomopoulosiD· 3 shared Tamoghna ChattopadhyayiD· 3 shared Chirag JagadiD· 2 shared Julio E. Villalón‐ReinaiD· 2 shared Vraj Dharmesh Desai· 2 shared Christopher PattersoniD· 1 shared Conor Owens‐WaltoniD· 1 shared

Activity by Year

2025-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersNeuroscience

Paul M. ThompsonORCID

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Author profile →

3 papers

Recent·Most cited

Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data

Tamoghna Chattopadhyay, R Varshney Kush, Pavithra Senthilkumar, Christopher Patterson, Conor Owens‐Walton, Emma J. Gleave, Sophia I. Thomopoulos, Sterling C. Johnson, Elizabeth C. Mormino, Timothy J. Hohman, Paul M. Thompson

This study evaluates deep learning models that predict multiple dementia-related neuropathologies using MRI, clinical, and genetic data, showing the potential of multimodal AI for non-invasive profiling.

International Symposium on Medical Information Processing and Analysis (SIPAIM) · Nov 18, 2025Peer-reviewedNeuroscience

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