Author

Kartik Shelar

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

Click to filter author papers

Neuroscience· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 2 Organism:human· 2 Assay:imaging· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Paul M. ThompsoniD· 2 shared Sophia I. ThomopoulosiD· 2 shared Tamoghna ChattopadhyayiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 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

Paul M. ThompsonORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Understanding Performance Plateaus and Representation Collapse in 3D MRI Transformers Trained to Classify Brain Disease

Tamoghna Chattopadhyay, Kartik Shelar, Sophia I. Thomopoulos, Paul M. Thompson

This paper investigates why performance plateaus in 3D MRI transformers for brain disease classification and finds that representation collapse, not task difficulty, causes the plateau.

bioRxiv · Oct 16, 2026 · PreprintNeuroscience

When does more data help? Spectral Geometry and Scaling Laws in MRI Transformers

Tamoghna Chattopadhyay, Kartik Shelar, Sophia I. Thomopoulos, Paul M. Thompson

This study examines how the spectral distribution of discriminative signals in MRI transformers affects their scaling behavior with increasing training data, finding that distributed representations improve more with larger datasets.

bioRxiv · Jul 20, 2026 · PreprintNeuroscience