Sridhar Vajapeyam

12PUBLICATIONS
91CO-AUTHORS
Neural networksPredictive and prognostic markersGene expression (incl. microarray and other genome-wide approaches)Epigenetics (incl. genome methylation and epigenomics)Gene and molecular therapy
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Publications (12)

|Feb 05, 2026
A generalizable foundation model for analysis of human brain MRI.

Divyanshu Tak, Biniam A Garomsa, Anna Zapaishchykova

|Jun 19, 2025
Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep Learning.

Divyanshu Tak, Biniam A Garomsa, Anna Zapaishchykova

|Jul 10, 2024
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario.

Aidan Boyd, Zezhong Ye, Sanjay P Prabhu

|Mar 06, 2024
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning.

Divyanshu Tak, Zezhong Ye, Anna Zapaischykova

|Nov 09, 2023
Automated temporalis muscle quantification and growth charts for children through adulthood.

Anna Zapaishchykova, Kevin X Liu, Anurag Saraf

|Jun 15, 2023
Correlation between Multiparametric MR Imaging and Molecular Genetics in Pontine Pediatric High-Grade Glioma.

V Rameh, S Vajapeyam, A Ziaei

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