| Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019 | 243 | 2019 |
| Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and … B Zhao, T Luo, T Li, Y Li, J Zhang, Y Shan, X Wang, L Yang, F Zhou, Z Zhu, ... Nature genetics 51 (11), 1637-1644, 2019 | 212 | 2019 |
| Radiomic analysis in prediction of Human Papilloma Virus status K Yu, Y Zhang, Y Yu, C Huang, R Liu, T Li, L Yang, JS Morris, ... Clinical and translational radiation oncology 7, 49-54, 2017 | 72 | 2017 |
| Heritability of regional brain volumes in large-scale neuroimaging and genetic studies B Zhao, JG Ibrahim, Y Li, T Li, Y Wang, Y Shan, Z Zhu, F Zhou, J Zhang, ... Cerebral Cortex 29 (7), 2904-2914, 2019 | 58 | 2019 |
| Single-nucleotide polymorphisms are associated with cognitive decline at Alzheimer's disease conversion within mild cognitive impairment patients E Lee, KS Giovanello, AJ Saykin, F Xie, D Kong, Y Wang, L Yang, ... Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 8, 86-95, 2017 | 44 | 2017 |
| Genome‐wide mediation analysis of psychiatric and cognitive traits through imaging phenotypes X Bi, L Yang, T Li, B Wang, H Zhu, H Zhang Human brain mapping 38 (8), 4088-4097, 2017 | 30 | 2017 |
| Patterns of protein expression in human head and neck cancer cell lines differ after proton vs photon radiotherapy L Wang, L Yang, S Han, J Zhu, Y Li, Z Wang, YH Fan, E Lin, R Zhang, ... Head & Neck 42 (2), 289-301, 2020 | 16 | 2020 |
| Deep learning based multimodal progression modeling for Alzheimer’s disease L Yang, X Wang, Q Guo, S Gladstein, D Wooten, T Li, WZ Robieson, ... Statistics in Biopharmaceutical Research 13 (3), 337-343, 2021 | 13 | 2021 |
| GWAS of 19,629 individuals identifies novel genetic variants for regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits B Zhao, T Luo, T Li, Y Li, J Zhang, Y Shan, X Wang, L Yang, F Zhou, Z Zhu, ... bioRxiv, 586339, 2019 | 11 | 2019 |
| Adolescent fluid intelligence prediction from regional brain volumes and cortical curvatures using BlockPC-XGBoost T Li, X Wang, T Luo, Y Yang, B Zhao, L Yang, Z Zhu, H Zhu Adolescent Brain Cognitive Development Neurocognitive Prediction: First …, 2019 | 5 | 2019 |
| Improved measurement of disease progression in people living with early Parkinson’s disease using digital health technologies MD Czech, D Badley, L Yang, J Shen, M Crouthamel, T Kangarloo, ... Communications Medicine 4 (1), 49, 2024 | | 2024 |
| Feasibility of common, enjoyable game play for assessing daily cognitive functioning in older adults N Schwab, CY Wu, J Galler, T DeRamus, A Ford, J Gerber, R Kitchen, ... Frontiers in Neurology 14, 1258216, 2023 | | 2023 |
| A three‐dimensional neuroimaging based deep learning model to predict Alzheimer’s disease progression for clinical trial design S Gladstein, L Yang, DW Wooten, H Florian, X Huang, RA Comley, Q Guo Alzheimer's & Dementia 17, e052345, 2021 | | 2021 |
| Corrigendum to: Heritability of regional brain volumes in large-scale neuroimaging and genetic studies B Zhao, JG Ibrahim, Y Li, T Li, Y Wang, Y Shan, Z Zhu, F Zhou, J Zhang, ... Cerebral Cortex (New York, NY) 31 (10), 4865, 2021 | | 2021 |
| Heritability of regional brain volumes in large-scale neuroimaging B Zhao, JG Ibrahim, Y Li, T Li, Y Wang, Y Shan, Z Zhu, F Zhou, J Zhang, ... | | 2017 |
Hongtu ZhuProfessor of Biostatistics, The University of North Carolina at Chapel HillVerified email at email.unc.edu
