We gratefully acknowledge these funding sources that have enabled our research:
- JHU Discovery Award (Joint PI: Faigle/Venkataraman)
Harnessing Machine Learning to Optimize Stroke Critical Care Resource Use
Total Funding Amount: $100,000
- JHU Discovery Award (Joint PI: Marvel/Venkataraman/Rosenthal)
Using Motor Imagery and Machine Learning-Based Real-Time fMRI Neurofeedback to Improve Motor Function in Cerebellar Ataxia
Total Funding Amount: $100,000
- Malone Center Seed Grant (Joint PI: Venkataraman/Bush/Brown)
A Deep Learning Approach to Continuously Forecast Postoperative Kidney Failure During Cardiac Surgery
Total Funding Amount: $50,000
- JHU Discovery Award (PI: Venkataraman)
Noninvasive Seizure Localization in Epilepsy Patients via Multimodal Magnetic Resonance Imaging
Total Funding Amount: $100,000
- NSF CAREER 1845430 (PI: Venkataraman)
Small Data in a Big World: Balancing Interpretability and Generalizability for Data Integration in Clinical Neuroscience
Total Funding Amount: $500,006
- NSF CRCNS 1822575 (PI: Venkataraman)
Discovering Network Structure in the Space of Group-Level Functional Differences
Total Funding Amount: $874,048
- JHMI Synergy Award (Joint PI: Johnson/Venkataraman)
Epileptic Seizure Localization via Bayesian Structure Learning
Total Funding Amount: $100,000
- Neuroradiology MRI Scanning Award (Joint PI: Sair/Johnson/Venkataraman)
Building a Database of Neurotypical Controls for Multiple Clinical StudiesTotal Funding Amount: $7,000