Funding

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 Pennsylvnaia

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