Funding

190f

Our research is supported by the National Institutes of Health, the Pennsylvania Department of Health, and the Institute for Translational Medicine and Therapeutics of the University of Pennsylvania 

U24NS130411: The Neuroimaging Brain Chart Software Suite. 04/15/2023-03/31/2028

R01AG066650: Fast and robust deep learning tools for analysis of neuroimaging data of Alzheimer's disease. 03/15/2021-02/28/2026

R01EB022573: Personalized Functional Network Modeling to Characterize and Predict Psychopathology in Youth.  08/02/2021-04/30/2025

R01MH120811: Individualized closed loop TMS for working memory enhancement. 09/1/2019- 06/30/2024

Pennsylvania Department of Health: Machine Learning to Predict Outcomes for Children with Urologic Disease. 06/2020-05/2024

P20DK127488: Center for Machine Learning in Urology-Scientific Project. 09/15/2020-06/30/2023

R21DK117297:  Anatomic biomarkers of chronic kidney disease progression among children. 02/15/2019-01/31/2021

R01EB022573: Pattern Analysis of fMRI via machine learning/sparse models: application to brain development. 07/1/2016-03/31/2021

R21CA223358: Learning radiomic signatures to early predict response of rectal cancer patients to neoadjuvant chemoradiation therapy. 01/01/2018-12/31/2020           

ITMAT:  Anatomic biomarkers of chronic kidney disease progression for children with congenital abnormalities of the kidney and urinary tract. 02/01/2018 – 01/31/2020

 

 

R37MH125829:  Precision Mapping of individualized executive networks in youth. 07/01/2021-04/30/2026

R01CA258021: Novel Perceptual and Oculomotor Heuristics for Enhancing Radiologic Performance. 06/01/2021 – 05/31/2026

U24CA231858: Penn Quantitative MRI Resource for Pancreatic Cancer. 09/14/2018-08/31/2023           

U24CA189523:  Cancer imaging phenomics software suite: application to brain and breast cancer.  09/1/2015-08/31/2020     

R01MH112070: Mapping Heterogeneity of Neuroanatomical Imaging Signatures of Psychosis via Pattern Analysis. 07/01/2017-06/30/2021           

1RF1AG054409: Heterogeneity of Multi-Modal Imaging Signatures of Aging, MCI, Alzheimer’s Disease via Pattern Analysis. 04/15/2017–03/31/2022