| Characterizing heterogeneity in neuroimaging, cognition, clinical symptoms, and genetics among patients with late-life depression J Wen, CHY Fu, D Tosun, Y Veturi, Z Yang, A Abdulkadir, E Mamourian, ... JAMA psychiatry 79 (5), 464-474, 2022 | 59 | 2022 |
| A structural enriched functional network: an application to predict brain cognitive performance M Kim, J Bao, K Liu, B Park, H Park, JY Baik, L Shen Medical image analysis 71, 102026, 2021 | 18 | 2021 |
| Genetic, clinical underpinnings of subtle early brain change along Alzheimer’s dimensions J Wen, Z Yang, IM Nasrallah, Y Cui, G Erus, D Srinivasan, A Abdulkadir, ... bioRxiv, 2022.09. 16.508329, 2022 | 7 | 2022 |
| Novel genomic loci influence patterns of structural covariance in the human brain J Wen, IM Nasrallah, A Abdulkadir, TD Satterthwaite, Z Yang, G Erus, ... medRxiv, 2022.07. 20.22277727, 2022 | 5 | 2022 |
| iSTAGING consortium, ADNI, BIOCARD, and BLSA. Characterizing heterogeneity in neuroimaging, cognition, clinical symptoms, and genetics among patients with late-life depression J Wen, CHY Fu, D Tosun, Y Veturi, Z Yang, A Abdulkadir, E Mamourian, ... JAMA psychiatry 79 (5), 464-474, 2022 | 5 | 2022 |
| Genomic loci influence patterns of structural covariance in the human brain J Wen, IM Nasrallah, A Abdulkadir, TD Satterthwaite, Z Yang, G Erus, ... Proceedings of the National Academy of Sciences 120 (52), e2300842120, 2023 | 4 | 2023 |
| The Genetic Heterogeneity of Multimodal Human Brain Age J Wen, B Zhao, Z Yang, G Erus, I Skampardoni, E Mamourian, Y Cui, ... bioRxiv, 2023.04. 13.536818, 2023 | 4 | 2023 |
| Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering Z Yang, J Wen, A Abdulkadir, Y Cui, G Erus, E Mamourian, R Melhem, ... arXiv preprint arXiv:2301.10772, 2023 | 4 | 2023 |
| Identifying highly heritable brain amyloid phenotypes through mining Alzheimer’s imaging and sequencing biobank data J Bao, Z Wen, M Kim, X Zhao, BN Lee, SH Jung, C Davatzikos, AJ Saykin, ... Pacific Symposium on Biocomputing 2022, 109-120, 2021 | 4 | 2021 |
| Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering Z Yang, J Wen, A Abdulkadir, Y Cui, G Erus, E Mamourian, R Melhem, ... Nature communications 15 (1), 354, 2024 | 3 | 2024 |
| Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease J Sha, J Bao, K Liu, S Yang, Z Wen, J Wen, Y Cui, B Tong, JH Moore, ... Methods 218, 27-38, 2023 | 3 | 2023 |
| Comparing amyloid imaging normalization strategies for Alzheimer’s disease classification using an automated machine learning pipeline B Tong, SL Risacher, J Bao, Y Feng, X Wang, MD Ritchie, JH Moore, ... AMIA Summits on Translational Science Proceedings 2023, 525, 2023 | 3 | 2023 |
| Identifying imaging genetic associations via regional morphometricity estimation J Bao, Z Wen, M Kim, AJ Saykin, PM Thompson, Y Zhao, L Shen Pacific Symposium on Biocomputing 2022, 97-108, 2021 | 3 | 2021 |
| Structural connectivity enriched functional brain network using simplex regression with graphnet M Kim, J Bao, K Liu, B Park, H Park, L Shen Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 3 | 2020 |
| Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis J Bao, C Chang, Q Zhang, AJ Saykin, L Shen, Q Long, ... Briefings in Bioinformatics 24 (2), bbad073, 2023 | 2 | 2023 |
| Exploring automated machine learning for cognitive outcome prediction from multimodal brain imaging using streamline X Wang, Y Feng, B Tong, J Bao, MD Ritchie, AJ Saykin, JH Moore, ... AMIA Summits on Translational Science Proceedings 2023, 544, 2023 | 2 | 2023 |
| Mega-analysis of brain structural covariance, genetics, and clinical phenotypes J Wen, I Nasrallah, A Abdulkadir, T Satterthwaite, G Erus, ... | 2 | 2022 |
| Identifying genes associated with brain volumetric differences through tissue specific transcriptomic inference from GWAS summary data H Mai, J Bao, PM Thompson, D Kim, L Shen BMC bioinformatics 23 (Suppl 3), 398, 2022 | 1 | 2022 |
| Mining High-Level Imaging Genetic Associations via Clustering AD Candidate Variants with Similar Brain Association Patterns R Wu, J Bao, M Kim, AJ Saykin, JH Moore, L Shen, ADNI Genes 13 (9), 1520, 2022 | 1 | 2022 |
| Identifying Alzheimer’s genes via brain transcriptome mapping JY Baik, M Kim, J Bao, Q Long, L Shen, ... BMC Medical Genomics 15 (Suppl 2), 116, 2022 | 1 | 2022 |
Li ShenProfessor of Informatics and Radiology, University of Pennsylvania Perelman School of MedicineVerified email at pennmedicine.upenn.edu
