Junhao Wen

The MULTI consortium, Boquet-Pujadas, A., Anagnostakis, F., Duggan, M.R., Joynes, C.M., Toga, A.W., Yang, Z., Walker, K.A., Davatzikos, C., and Wen, J., (2025). Brain-heart-eye axis revealed by multi-organ imaging genetics and proteomics. Nature Biomedical Enigeerig (in press), Link

Wen, J., Tian, Y.E., Yang, Z., Cui, Y., Erus, G., Hwang, G., Varol, E., Boquet-Pujadas, A., Chand, G.B. and Nasrallah, I., 2025. Nine Neuroimaging-AI Endophenotypes Unravel Disease Heterogeneity and Partial Overlap across Four Brain Disorders, pp.2023-08. Nature Biomedical Engineering (in press). Link

Wen, J., (2025). Multi-organ and Multi-omics Biological Aging Clocks: Generation, Interpretation, and Application. Nature Aging (accepted in principle), Link

The MULTI consortium, Anagnostakis, F., Ko, S., Saadatinia, M., Wang, J. Davatzikos, C., and Wen, J., 2025. Multi-organ metabolome biological age implicates cardiometabolic conditions and mortality risk. (2025), Nature Communications (in press), Link 

Bao, J., Wen, J., Chang C., Mu S., Chen J., Shivakumar M., Cui Y., Erus G., Yang Z., Yang S., Wen Z., Zhao Y., Kim D., Duong-Tran D., Saykin A., Zhao Z., Davatzikos C., Long Q., Shen L. (2025). A genetically informed brain atlas for enhancing brain imaging genomics. Nature Communications, Link

Chen, J., Ionita, M., Feng, Y., Lu, Y., Orzechowski, P., Garai, S., Hassinger, K., Bao, J., Wen, J., Duong-Tran, D. and Wagenaar, J., (2025). Automated cytometric gating with human-level performance using bivariate segmentation. Nature Communications, Link

Boquet-Pujadas, A., Zeng, J., Tian, Y.E., Yang, Z., Shen, L., Zalesky, A., Davatzikos, C., the MULTI consortium, and Wen, J., 2025. MUTATE: A Human Genetic Atlas of Multi-organ AI Endophenotypes using GWAS Summary Statistics. pp.2024-06. Briefings in Bioinformatics, Link

Wen, J., Wen, J., Yang, Z., Nasrallah, I.M., Cui, Y., Erus, G., Srinivasan, D., Abdulkadir, A., Mamourian, E., Hwang, G., Singh, A. and Bergman, M., 2024. Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer’s disease continuum. 14(1), p.420.Translational Psychiatry. Link

Wen, J., Tian, Y.E., Yang, Z., Cui, Y., Anagnostakis, F., Mamourian, E., Zhao, B., Toga, A.W., Zalesky, A. and Davatzikos, C., 2024. 4(9), pp.1290-1307. Nature Aging. Link

Wen, J., 2024. Multiorgan biological age shows that no organ system is an island. Nature Aging. Link

Yang, Z., Wen, J. (Co-supervision & Genetic analysis), Erus, G., Govindarajan, S.T., Melhem, R., Mamourian, E., Cui, Y., Srinivasan, D., Abdulkadir, A., Parmpi, P. and Wittfeld, K., 2024. Brain aging patterns in a large and diverse cohort of 49,482 individuals. 30(10), pp.3015-3026. Nature Medicine. Link

Wen, J., Zhao, B., Yang, Z., Erus, G., Mamourian, E., Cui, Y., Hwang, G., Bao, J., Boquet-Pujadas, A. and Zhou, Z., 2024. The genetic architecture of multimodal human brain age. 15(1), p.2604. Nature Communications. Link

Wen, J., Antoniades, M., Yang, Z., Hwang, G., Wang, R. and Davatzikos, C., 2024. Dimensional neuroimaging endophenotypes: neurobiological representations of disease heterogeneity through machine learning. Biological Psychiatry. Link

Yang, Z., Wen, J., (2024). Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. Nature Communications. Link

Nasrallah, IM., Abdulkadir, A., Wen, J. (Genetic analysis), Melhem, R., Mamourian, E., Erus, G., Doshi, J., Singh, A., Yang, Z. and Cui, Y., 2024. Genetic and clinical correlates of AI-based brain aging patterns in cognitively unimpaired individuals., 81(5), pp.456-467. JAMA Pyschiatry. Link

Wen, J., Nasrallah, I.M., Abdulkadir, A., Satterthwaite, T.D., Yang, Z., Erus, G., Robert-Fitzgerald, T., Singh, A., Sotiras, A., Boquet-Pujadas, A. and Mamourian, E., 2023. Genomic loci influence patterns of structural covariance in the human brain, 120(52), p.e2300842120.. Proceedings of the National Academy of Sciences. Link

Hwang, G., Wen, J. (co-first), Sotardi, S., (2023), Brodkin, E.S., Chand, G.B., Dwyer, D.B., Erus, G., Doshi, J., Singhal, P., Srinivasan, D. and Varol, E., 2023. Assessment of neuroanatomical endophenotypes of autism spectrum disorder and association with characteristics of individuals with schizophrenia and the general population. 80(5), pp.498-507.. JAMA Psychiatry. Link

Wen, J., Varol, E., Yang, Z., Hwang, G., Dwyer, D., Kazerooni, A.F., Lalousis, P.A. and Davatzikos, C., 2023. Subtyping brain diseases from imaging data. pp.491-510. Machine Learning for Brain Disorders Link

Wen, J., Fu, C.H., Tosun, D., Veturi, Y., Yang, Z., Abdulkadir, A., Mamourian, E., Srinivasan, D., Skampardoni, I., Singh, A. and Nawani, H., 2022. Characterizing heterogeneity in neuroimaging, cognition, clinical symptoms, and genetics among patients with late-life depression. 79(5), pp.464-474. JAMA Psychiatry, 79(5), pp.464-474. Link

Wen, J., Varol, E., Sotiras, A., Yang, Z., Chand, G.B., Erus, G., Shou, H., Abdulkadir, A., Hwang, G., Dwyer, D.B. and Pigoni, A., 2022. Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes, 75, p.102304.. Medical Image Analysis, 75, p.102304. Link

Yang, Z., Wen, J., and Davatzikos, C., (2022). Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns. ICLR. Link

Wen, J., Samper-González, J., Bottani, S., Routier, A., Burgos, N., Jacquemont, T., Fontanella, S., Durrleman, S., Epelbaum, S., Bertrand, A. and Colliot, O., 2021. Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimer’s disease, 19, pp.57-78.. Neuroinformatics, 19(1), pp.57-78. Link

Yang, Z., Nasrallah, I.M., Shou, H., Wen, J., Doshi, J., Habes, M., Erus, G., Abdulkadir, A., Resnick, S.M., Albert, M.S. and Maruff, P., 2021. A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure. 12(1), p.7065.. Nature Communications, pp.1-15. Link

Wen, J., Thibeau-Sutre, E., Diaz-Melo, M., Samper-González, J., Routier, A., Bottani, S., Dormont, D., Durrleman, S., Burgos, N., Colliot, O. and Alzheimer's Disease Neuroimaging Initiative, 2020. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation, 63, p.101694. Medical image analysis, 63, p.101694. Link

Wen, J., Varol, E., Chand, G., Sotiras, A. and Davatzikos, C., 2020. MAGIC: Multi-scale heterogeneity analysis and clustering for brain diseases. 2020, pp. 678-687. MICCAI. Springer, Cham. Link

Bertrand, A., Wen, J. (co-first), Rinaldi, D., Houot, M., Sayah, S., Camuzat, A., Fournier, C., Fontanella, S., Routier, A., Couratier, P. and Pasquier, F., 2018. Early cognitive, structural, and microstructural changes in presymptomatic C9orf72 carriers younger than 40 years. 75(2), pp.236-245. JAMA neurology, 75(2), pp.236-245. Link

Wen, J., Zhang, H., Alexander, D.C., Durrleman, S., Routier, A., Rinaldi, D., Houot, M., Couratier, P., Hannequin, D., Pasquier, F. and Zhang, J., 2019. Neurite density is reduced in the presymptomatic phase of C9orf72 disease, 90(4), pp.387-394.. Journal of Neurology, Neurosurgery & Psychiatry 90(4), pp.387-394. Link