Satwik Rajaram
6PUBLICATIONS
21CO-AUTHORS
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Publications (6)
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|Dec 18, 2025
Resolving phenotyping discordance with SPACEMAP, an integrated machine learning framework.Bassel Dawod, Arely Perez Rodriguez, Sebastian Diegeler
|Mar 18, 2025
Histopathology based AI model predicts anti-angiogenic therapy response in renal cancer clinical trial.Jay Jasti, Hua Zhong, Vandana Panwar
|Jun 02, 2022
Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep Learning.Paul H Acosta, Vandana Panwar, Vipul Jarmale
|Oct 22, 2021
Deep learning reveals disease-specific signatures of white matter pathology in tauopathies.Anthony R Vega, Rati Chkheidze, Vipul Jarmale
|Nov 02, 2019
A multi-modal data resource for investigating topographic heterogeneity in patient-derived xenograft tumors.Satwik Rajaram, Maike A Roth, Julia Malato
|Sep 05, 2017
Sampling strategies to capture single-cell heterogeneity.Satwik Rajaram, Louise E Heinrich, John D Gordan
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Frequent Collaborators
2 joint publications
Steven J Altschuler
2 joint publications
Payal Kapur
2 joint publications
Paul H Acosta
2 joint publications
Vipul Jarmale
2 joint publications
Dinesh Rakheja
2 joint publications
James Brugarolas
1 joint publications
Louise E Heinrich
1 joint publications
Maike A Roth
1 joint publications
Todd A Aguilera
1 joint publications
Rati Chkheidze
