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  • Li Shen
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  • 2019

    Identifying imaging markers for predicting cognitive assessments using wasserstein distances based matrix regression

    Yan, J., Deng, C., Luo, L., Wang, X., Yao, X., Shen, L. & Huang, H., 2019, In : Frontiers in Neuroscience. 13, JUL, 668.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • Preparing next-generation scientists for biomedical big data: Artificial intelligence approaches

    Moore, J. H., Boland, M. R., Camara, P. G., Chervitz, H., Gonzalez, G., Himes, B. E., Kim, D., Mowery, D. L., Ritchie, M. D., Shen, L., Urbanowicz, R. J. & Holmes, J. H., 2019, In : Personalized Medicine. 16, 3, p. 247-257 11 p.

    Research output: Contribution to journalReview articlepeer-review

    4 Scopus citations
  • 2017

    Preface micgen 2017

    Dalca, A. V., Batmanghelich, N. K., Sabuncu, M. R. & Shen, L., Jan 1 2017, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10551 LNCS

    Research output: Contribution to journalEditorialpeer-review

  • 2020

    Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification

    Li, J., Bian, C., Chen, D., Meng, X., Luo, H., Liang, H. & Shen, L., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 44-52 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2018

    Translational High-Dimensional Drug Interaction Discovery and Validation Using Health Record Databases and Pharmacokinetics Models

    Chiang, C. W., Zhang, P., Wang, X., Wang, L., Zhang, S., Ning, X., Shen, L., Quinney, S. K. & Li, L., Feb 2018, In : Clinical Pharmacology and Therapeutics. 103, 2, p. 287-295 9 p.

    Research output: Contribution to journalArticlepeer-review

    14 Scopus citations
  • 2020

    Ideas for how informaticians can get involved with COVID-19 research

    Moore, J. H., Barnett, I., Boland, M. R., Chen, Y., Demiris, G., Gonzalez-Hernandez, G., Herman, D. S., Himes, B. E., Hubbard, R. A., Kim, D., Morris, J. S., Mowery, D. L., Ritchie, M. D., Shen, L., Urbanowicz, R. & Holmes, J. H., May 12 2020, In : BioData Mining. 13, 1, 3.

    Research output: Contribution to journalReview articlepeer-review

    Open Access
    1 Scopus citations
  • A super-combo-drug test to detect adverse drug events and drug interactions from electronic health records in the era of polypharmacy

    Zhu, A., Zeng, D., Shen, L., Ning, X., Li, L. & Zhang, P., May 15 2020, In : Statistics in Medicine. 39, 10, p. 1458-1472 15 p.

    Research output: Contribution to journalArticlepeer-review

  • 2018

    Joint high-order multi-task feature learning to predict the progression of Alzheimer’s disease

    ADNI, Jan 1 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Schnabel, J. A., Davatzikos, C., Alberola-López, C., Fichtinger, G. & Frangi, A. F. (eds.). Springer Verlag, p. 555-562 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11070 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
  • 2019

    Diagnosis status guided brain imaging genetics via integrated regression and sparse canonical correlation analysis

    Du, L., Liu, K., Yao, X., Risacher, S. L., Guo, L., Saykin, A. J. & Shen, L., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 356-359 4 p. 8759489. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations
  • Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

    Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific reports. 9, 1, 13845.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    6 Scopus citations
  • 2017

    A fast SCCA algorithm for big data analysis in brain imaging genetics

    Alzheimer’s Disease Neuroimaging Initiative, 2017, Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - 1st International Workshop, GRAIL 2017 6th International Workshop, MFCA 2017 and 3rd International Workshop, MICGen 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10551 LNCS. p. 210-219 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10551 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • Brain explorer for connectomic analysis

    for the Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2017, In : Brain Informatics. 4, 4, p. 253-269 17 p.

    Research output: Contribution to journalArticlepeer-review

    1 Scopus citations
  • Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules

    Yao, X., Yan, J., Risacher, S., Moore, J., Saykin, A. & Shen, L., Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6170-6174 5 p. 7953342. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2019

    Prioritization of cognitive assessments in Alzheimer's disease via learning to rank using brain morphometric data

    Peng, B., Yao, X., Risacher, S. L., Saykin, A. J., Shen, L. & Ning, X., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834618. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2018

    Heritability estimation of reliable connectomic features

    Xie, L., Amico, E., Salama, P., Wu, Y. C., Fang, S., Sporns, O., Saykin, A. J., Goñi, J., Yan, J. & Shen, L., Jan 1 2018, Connectomics in NeuroImaging - 2nd International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Wu, G., Schirmer, M. D., Chung, A. W., Rekik, I. & Munsell, B. (eds.). Springer Verlag, p. 58-66 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11083 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • 2019

    A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data

    The Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Scientific reports. 9, 1, 19589.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    1 Scopus citations
  • Mining regional imaging genetic associations via voxel-wise enrichment analysis

    Yao, X., Cong, S., Yan, J., Risacher, S. L., Saykin, A. J., Moore, J. H. & Shen, L., May 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834450. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • Non-coding variability at the APOE locus contributes to the Alzheimer’s risk

    Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2019, In : Nature communications. 10, 1, 3310.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    6 Scopus citations
  • 2020

    Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification

    Alzheimer’s Disease Neuroimaging Initiative, Jul 1 2020, In : Bioinformatics (Oxford, England). 36, 1, p. i371-i379

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • 2016

    Association between anticholinergic medication use and cognition, brain metabolism, and brain atrophy in cognitively normal older adults

    Alzheimer's Disease Neuroimaging Initiative, Jun 2016, In : JAMA Neurology. 73, 6, p. 721-732 12 p.

    Research output: Contribution to journalArticlepeer-review

    111 Scopus citations
  • 2020

    Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease

    for the Alzheimer's Disease Neuroimaging Initiative, Feb 2020, In : Medical Image Analysis. 60, 101625.

    Research output: Contribution to journalArticlepeer-review

    8 Scopus citations
  • 2017

    Two-dimensional enrichment analysis for mining high-level imaging genetic associations

    Yao, X., Yan, J., Kim, S., Nho, K., Risacher, S. L., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., Mar 1 2017, In : Brain Informatics. 4, 1, p. 27-37 11 p.

    Research output: Contribution to journalArticlepeer-review

    5 Scopus citations
  • 2016

    Diagnosis-guided method for identifying multi-modality neuroimaging biomarkers associated with genetic risk factors in Alzheimer’s disease

    Hao, X., Yan, J., Yao, X., Risacher, S. L., Saykin, A. J., Zhang, D. & Shen, L., Jan 1 2016, In : Pacific Symposium on Biocomputing. p. 108-119 12 p.

    Research output: Contribution to journalConference articlepeer-review

    4 Scopus citations
  • 2019

    Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics

    Du, L., Liu, K., Yao, X., Risacher, S. L., Han, J., Guo, L., Saykin, A. J. & Shen, L., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 356-361 6 p. 8621298. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations
  • Prioritizing Amyloid Imaging Biomarkers in Alzheimer’s Disease via Learning to Rank

    for the ADNI, Jan 1 2019, Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhu, D., Yan, J., Huang, H., Shen, L., Thompson, P. M., Westin, C-F., Pennec, X., Joshi, S., Nielsen, M., Sommer, S., Fletcher, T. & Durrleman, S. (eds.). Springer, p. 139-148 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11846 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2018

    Bootstrapped Sparse Canonical Correlation Analysis: Mining Stable Imaging and Genetic Associations With Implicit Structure Learning. Mining Stable Imaging and Genetic Associations With Implicit Structure Learning.

    Yan, J., Du, L., Kim, S., Risacher, S. L., Huang, H., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., Jan 1 2018, Imaging Genetics. Elsevier Inc., p. 101-117 17 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2020

    Deep Network-Based Feature Selection for Imaging Genetics: Application to Identifying Biomarkers for Parkinson's Disease

    Kim, M., Won, J. H., Hong, J., Kwon, J., Park, H. & Shen, L., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1920-1923 4 p. 9098471. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • 2017

    Parcellation of human amygdala subfields using orientation distribution function and spectral k-means clustering

    Wen, Q., Stirling, B. D., Sha, L., Shen, L., Whalen, P. J. & Wu, Y. C., 2017, Computational Diffusion MRI - MICCAI Workshop. Fuster, A., Rathi, Y., Reisert, M., Kaden, E. & Ghosh, A. (eds.). Springer Heidelberg, p. 123-132 10 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • 2018

    Imaging genomics

    Huang, H., Shen, L., Thompson, P. M., Huang, K., Huang, J. & Yang, L., 2018, In : Pacific Symposium on Biocomputing. 0, 212669, p. 304-306 3 p.

    Research output: Contribution to journalConference articlepeer-review

    2 Scopus citations
  • Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms

    Mussabayeva, A., Kroshnin, A., Kurmukov, A., Denisova, Y., Shen, L., Cong, S., Wang, L. & Gutman, B. A., Jan 1 2018, Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Lombaert, H., Paniagua, B., Egger, B., Lüthi, M., Reuter, M. & Wachinger, C. (eds.). Springer Verlag, p. 160-168 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11167 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • 2017

    Predicting High-Order Directional Drug-Drug Interaction Relations

    Ning, X., Shen, L. & Li, L., Sep 8 2017, Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Cummins, M., Facelli, J., Meixner, G., Giraud-Carrier, C. & Nakajima, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 556-561 6 p. 8031212. (Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Scopus citations
  • 2019

    A Unified Model for Robust Differential Expression Analysis of RNA-Seq Data

    Liu, K., Shen, L. & Jian, H., Jan 21 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 437-442 6 p. 8621331. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2018

    Pattern Discovery from High-Order Drug-Drug Interaction Relations

    Chiang, W. H., Schleyer, T., Shen, L., Li, L. & Ning, X., Sep 1 2018, In : Journal of Healthcare Informatics Research. 2, 3, p. 272-304 33 p.

    Research output: Contribution to journalArticlepeer-review

  • 2020

    Drug-drug interaction prediction based on co-medication patterns and graph matching

    Chiang, W. H., Shen, L., Li, L. & Ning, X., 2020, In : International Journal of Computational Biology and Drug Design. 13, 1, p. 36-57 22 p.

    Research output: Contribution to journalArticlepeer-review

  • Hierarchical Structured Sparse Learning for Schizophrenia Identification

    Wang, M., Hao, X., Huang, J., Wang, K., Shen, L., Xu, X., Zhang, D. & Liu, M., Jan 1 2020, In : Neuroinformatics. 18, 1, p. 43-57 15 p.

    Research output: Contribution to journalArticlepeer-review

  • 2019

    A unified model for joint normalization and differential gene expression detection in RNA-seq data

    Liu, K., Ye, J., Yang, Y., Shen, L. & Jiang, H., Mar 1 2019, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16, 2, p. 442-454 13 p., 8249873.

    Research output: Contribution to journalArticlepeer-review

    4 Scopus citations
  • 2020

    Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet

    Kim, M., Bao, J., Liu, K., Park, B. Y., Park, H. & Shen, L., 2020, Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Liu, M., Lian, C., Yan, P. & Cao, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 292-302 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12436 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2017

    Novel genetic loci associated with hippocampal volume

    Hibar, D. P., Adams, H. H. H., Jahanshad, N., Chauhan, G., Stein, J. L., Hofer, E., Renteria, M. E., Bis, J. C., Arias-Vasquez, A., Ikram, M. K., Desrivières, S., Vernooij, M. W., Abramovic, L., Alhusaini, S., Amin, N., Andersson, M., Arfanakis, K., Aribisala, B. S., Armstrong, N. J., Athanasiu, L. & 312 others, Axelsson, T., Beecham, A. H., Beiser, A., Bernard, M., Blanton, S. H., Bohlken, M. M., Boks, M. P., Bralten, J., Brickman, A. M., Carmichael, O., Chakravarty, M. M., Chen, Q., Ching, C. R. K., Chouraki, V., Cuellar-Partida, G., Crivello, F., Den Braber, A., Doan, N. T., Ehrlich, S., Giddaluru, S., Goldman, A. L., Gottesman, R. F., Grimm, O., Griswold, M. E., Guadalupe, T., Gutman, B. A., Hass, J., Haukvik, U. K., Hoehn, D., Holmes, A. J., Hoogman, M., Janowitz, D., Jia, T., Jørgensen, K. N., Karbalai, N., Kasperaviciute, D., Kim, S., Klein, M., Kraemer, B., Lee, P. H., Liewald, D. C. M., Lopez, L. M., Luciano, M., MacAre, C., Marquand, A. F., Matarin, M., Mather, K. A., Mattheisen, M., McKay, D. R., Milaneschi, Y., Muñoz Maniega, S., Nho, K., Nugent, A. C., Nyquist, P., Loohuis, L. M. O., Oosterlaan, J., Papmeyer, M., Pirpamer, L., Pütz, B., Ramasamy, A., Richards, J. S., Risacher, S. L., Roiz-Santiañez, R., Rommelse, N., Ropele, S., Rose, E. J., Royle, N. A., Rundek, T., Sämann, P. G., Saremi, A., Satizabal, C. L., Schmaal, L., Schork, A. J., Shen, L., Shin, J., Shumskaya, E., Smith, A. V., Sprooten, E., Strike, L. T., Teumer, A., Tordesillas-Gutierrez, D., Toro, R., Trabzuni, D., Trompet, S., Vaidya, D., Van Der Grond, J., Van Der Lee, S. J., Van Der Meer, D., Van Donkelaar, M. M. J., Van Eijk, K. R., Van Erp, T. G. M., Van Rooij, D., Walton, E., Westlye, L. T., Whelan, C. D., Windham, B. G., Winkler, A. M., Wittfeld, K., Woldehawariat, G., Wolf, C., Wolfers, T., Yanek, L. R., Yang, J., Zijdenbos, A., Zwiers, M. P., Agartz, I., Almasy, L., Ames, D., Amouyel, P., Andreassen, O. A., Arepalli, S., Assareh, A. A., Barral, S., Bastin, M. E., Becker, D. M., Becker, J. T., Bennett, D. A., Blangero, J., Van Bokhoven, H., Boomsma, D. I., Brodaty, H., Brouwer, R. M., Brunner, H. G., Buckner, R. L., Buitelaar, J. K., Bulayeva, K. B., Cahn, W., Calhoun, V. D., Cannon, D. M., Cavalleri, G. L., Cheng, C. Y., Cichon, S., Cookson, M. R., Corvin, A., Crespo-Facorro, B., Curran, J. E., Czisch, M., Dale, A. M., Davies, G. E., De Craen, A. J. M., De Geus, E. J. C., De Jager, P. L., De Zubicaray, G. I., Deary, I. J., Debette, S., Decarli, C., Delanty, N., Depondt, C., Destefano, A., Dillman, A., Djurovic, S., Donohoe, G., Drevets, W. C., Duggirala, R., Dyer, T. D., Enzinger, C., Erk, S., Espeseth, T., Fedko, I. O., Fernández, G., Ferrucci, L., Fisher, S. E., Fleischman, D. A., Ford, I., Fornage, M., Foroud, T. M., Fox, P. T., Francks, C., Fukunaga, M., Gibbs, J. R., Glahn, D. C., Gollub, R. L., Göring, H. H. H., Green, R. C., Gruber, O., Gudnason, V., Guelfi, S., Håberg, A. K., Hansell, N. K., Hardy, J., Hartman, C. A., Hashimoto, R., Hegenscheid, K., Heinz, A., Le Hellard, S., Hernandez, D. G., Heslenfeld, D. J., Ho, B. C., Hoekstra, P. J., Hoffmann, W., Hofman, A., Holsboer, F., Homuth, G., Hosten, N., Hottenga, J. J., Huentelman, M., Pol, H. E. H., Ikeda, M., Jack, C. R., Jenkinson, M., Johnson, R., Jönsson, E. G., Jukema, J. W., Kahn, R. S., Kanai, R., Kloszewska, I., Knopman, D. S., Kochunov, P., Kwok, J. B., Lawrie, S. M., Lemaître, H., Liu, X., Longo, D. L., Lopez, O. L., Lovestone, S., Martinez, O., Martinot, J. L., Mattay, V. S., McDonald, C., McIntosh, A. M., McMahon, F. J., McMahon, K. L., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Mohnke, S., Montgomery, G. W., Morris, D. W., Mosley, T. H., Mühleisen, T. W., Müller-Myhsok, B., Nalls, M. A., Nauck, M., Nichols, T. E., Niessen, W. J., Nöthen, M. M., Nyberg, L., Ohi, K., Olvera, R. L., Ophoff, R. A., Pandolfo, M., Paus, T., Pausova, Z., Penninx, B. W. J. H., Pike, G. B., Potkin, S. G., Psaty, B. M., Reppermund, S., Rietschel, M., Roffman, J. L., Romanczuk-Seiferth, N., Rotter, J. I., Ryten, M., Sacco, R. L., Sachdev, P. S., Saykin, A. J., Schmidt, R., Schmidt, H., Schofield, P. R., Sigursson, S., Simmons, A., Singleton, A., Sisodiya, S. M., Smith, C., Smoller, J. W., Soininen, H., Steen, V. M., Stott, D. J., Sussmann, J. E., Thalamuthu, A., Toga, A. W., Traynor, B. J., Troncoso, J., Tsolaki, M., Tzourio, C., Uitterlinden, A. G., Hernández, M. C. V., Van Der Brug, M., Van Der Lugt, A., Van Der Wee, N. J. A., Van Haren, N. E. M., Van 'T Ent, D., Van Tol, M. J., Vardarajan, B. N., Vellas, B., Veltman, D. J., Völzke, H., Walter, H., Wardlaw, J. M., Wassink, T. H., Weale, M. E., Weinberger, D. R., Weiner, M. W., Wen, W., Westman, E., White, T., Wong, T. Y., Wright, C. B., Zielke, R. H., Zonderman, A. B., Martin, N. G., Van Duijn, C. M., Wright, M. J., Longstreth, W. T., Schumann, G., Grabe, H. J., Franke, B., Launer, L. J., Medland, S. E., Seshadri, S., Thompson, P. M. & Ikram, M. A., Jan 18 2017, In : Nature communications. 8, 13624.

    Research output: Contribution to journalArticlepeer-review

    103 Scopus citations
  • Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty

    Du, L., Liu, K., Yao, X., Yan, J., Risacher, S. L., Han, J., Guo, L., Saykin, A. J., Shen, L., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Morris, J., Shaw, L. M. & 293 others, Khachaturian, Z., Sorensen, G., Carrillo, M., Kuller, L., Raichle, M., Paul, S., Davies, P., Fillit, H., Hefti, F., Holtzman, D., Mesulam, M. M., Potter, W., Snyder, P., Schwartz, A., Montine, T., Thomas, R. G., Donohue, M., Walter, S., Gessert, D., Sather, T., Jiminez, G., Balasubramanian, A. B., Mason, J., Sim, I., Harvey, D., Bernstein, M., Fox, N., Thompson, P., Schuff, N., Decarli, C., Borowski, B., Gunter, J., Senjem, M., Vemuri, P., Jones, D., Kantarci, K., Ward, C., Koeppe, R. A., Foster, N., Reiman, E. M., Chen, K., Mathis, C., Landau, S., Cairns, N. J., Franklin, E., Taylor-Reinwald, L., Lee, V., Korecka, M., Figurski, M., Crawford, K., Neu, S., Foroud, T. M., Potkin, S., Faber, K., Kim, S., Nho, K., Thal, L., Buckholtz, N., Albert, M., Frank, R., Hsiao, J., Kaye, J., Quinn, J., Silbert, L., Lind, B., Carter, R., Dolen, S., Schneider, L. S., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B. M., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J. L., Lord, J. L., Mason, S. S., Albers, C. S., Knopman, D., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Pavlik, V., Shibley, V., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L. S., Bell, K. L., Ances, B., Carroll, M., Creech, M. L., Franklin, E., Mintun, M. A., Schneider, S., Oliver, A., Marson, D., Geldmacher, D., Love, M. N., Griffith, R., Clark, D., Brockington, J., Roberson, E., Grossman, H., Mitsis, E., Shah, R. C., Detoledo-Morrell, L., Duara, R., Greig-Custo, M. T., Barker, W., Onyike, C., D'Agostino, D., Kielb, S., Sadowski, M., Sheikh, M. O., Ulysse, A., Gaikwad, M., Murali Doraiswamy, P., Petrella, J. R., Borges-Neto, S., Wong, T. Z., Coleman, E., Arnold, S. E., Karlawish, J. H., Wolk, D. A., Clark, C. M., Smith, C. D., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Lopez, O. L., Oakley, M. A., Simpson, D. M., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Ismail, M. S., Brand, C., Preda, A., Nguyen, D., Womack, K., Mathews, D., Quiceno, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Swerdlow, R. H., Brooks, W. M., Apostolova, L., Tingus, K., Woo, E., Silverman, D. H. S., Lu, P. H., Bartzokis, G., Graff-Radford, N. R., Parfitt, F., Poki-Walker, K., Farlow, M. R., Marie Hake, A., Matthews, B. R., Brosch, J. R., Herring, S., Van Dyck, C. H., Carson, R. E., MacAvoy, M. G., Varma, P., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Robin Hsiung, G. Y., Mudge, B., Sossi, V., Feldman, H., Assaly, M., Finger, E., Pasternack, S., Rachisky, I., Rogers, J., Trost, D., Kertesz, A., Bernick, C., Munic, D., Rogalski, E., Lipowski, K., Weintraub, S., Bonakdarpour, B., Kerwin, D., Wu, C. K., Johnson, N., Sadowsky, C., Villena, T., Scott Turner, R., Johnson, K., Reynolds, B., Sperling, R. A., Johnson, K. A., Marshall, G., Yesavage, J., Taylor, J. L., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M. N., Belden, C. M., Jacobson, S. A., Sirrel, S. A., Kowall, N., Killiany, R., Budson, A. E., Norbash, A., Lynn Johnson, P., Obisesan, T. O., Wolday, S., Allard, J., Lerner, A., Ogrocki, P., Tatsuoka, C., Fatica, P., Fletcher, E., Maillard, P., Olichney, J., Decarli, C., Carmichael, O., Kittur, S., Borrie, M., Lee, T. Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C. M., Tariot, P., Burke, A., Milliken, A. M., Trncic, N., Fleisher, A., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Kelly, B., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G. D., Blank, K., Anderson, K., Flashman, L. A., Seltzer, M., Hynes, M. L., Santulli, R. B., Sink, K. M., Gordineer, L., Williamson, J. D., Garg, P., Watkins, F., Ott, B. R., Tremont, G., Daiello, L. A., Salloway, S., Malloy, P., Correia, S., Rosen, H. J., Miller, B. L., Perry, D., Mintzer, J., Spicer, K., Bachman, D., Pomara, N., Hernando, R., Sarrael, A., Schultz, S. K., Ekstam Smith, K., Koleva, H., Nam, K. W., Shim, H., Relkin, N., Chaing, G., Lin, M., Ravdin, L., Smith, A., Ashok Raj, B. & Fargher, K., Dec 1 2017, In : Scientific reports. 7, 1, 14052.

    Research output: Contribution to journalArticlepeer-review

    4 Scopus citations
  • 2020

    The genetic architecture of the human cerebral cortex

    Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)-Genetics working group, Mar 20 2020, In : Science. 367, 6484, aay6690.

    Research output: Contribution to journalArticlepeer-review

    40 Scopus citations
  • Brain-wide structural connectivity alterations under the control of Alzheimer risk genes

    Yan, J., Vinesh Raja, V., Huang, Z., Amico, E., Nho, K., Fang, S., Sporns, O., Wu, Y. C., Saykin, A., Goñi, J. & Shen, L., 2020, In : International Journal of Computational Biology and Drug Design. 13, 1, p. 58-70 13 p.

    Research output: Contribution to journalArticlepeer-review

  • 2017

    Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics

    Du, L., Zhang, T., Liu, K., Yao, X., Yan, J., Risacher, S. L., Guo, L., Saykin, A. J. & Shen, L., Jan 17 2017, Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016. Burrage, K., Zhu, Q., Liu, Y., Tian, T., Wang, Y., Hu, X. T., Jiang, Q., Song, J., Morishita, S., Burrage, K. & Wang, G. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 707-711 5 p. 7822605. (Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
  • 2016

    Structured sparse CCA for brain imaging genetics via graph OSCAR

    Du, L., Huang, H., Yan, J., Kim, S., Risacher, S., Inlow, M., Moore, J., Saykin, A. & Shen, L., Aug 26 2016, In : BMC Systems Biology. 10, 68.

    Research output: Contribution to journalArticlepeer-review

    7 Scopus citations
  • 2019

    Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene

    Alzheimer's Disease Neuroimaging Initiative, Sep 2019, In : Neurobiology of Aging. 81, p. 213-221 9 p.

    Research output: Contribution to journalArticlepeer-review

    3 Scopus citations
  • 2016

    Novel genetic loci underlying human intracranial volume identified through genome-wide association

    Adams, H. H. H., Hibar, D. P., Chouraki, V., Stein, J. L., Nyquist, P. A., Rentería, M. E., Trompet, S., Arias-Vasquez, A., Seshadri, S., Desrivières, S., Beecham, A. H., Jahanshad, N., Wittfeld, K., Van Der Lee, S. J., Abramovic, L., Alhusaini, S., Amin, N., Andersson, M., Arfanakis, K., Aribisala, B. S. & 322 others, Armstrong, N. J., Athanasiu, L., Axelsson, T., Beiser, A., Bernard, M., Bis, J. C., Blanken, L. M. E., Blanton, S. H., Bohlken, M. M., Boks, M. P., Bralten, J., Brickman, A. M., Carmichael, O., Chakravarty, M. M., Chauhan, G., Chen, Q., Ching, C. R. K., Cuellar-Partida, G., Braber, A. D., Doan, N. T., Ehrlich, S., Filippi, I., Ge, T., Giddaluru, S., Goldman, A. L., Gottesman, R. F., Greven, C. U., Grimm, O., Griswold, M. E., Guadalupe, T., Hass, J., Haukvik, U. K., Hilal, S., Hofer, E., Hoehn, D., Holmes, A. J., Hoogman, M., Janowitz, D., Jia, T., Kasperaviciute, D., Kim, S., Klein, M., Kraemer, B., Lee, P. H., Liao, J., Liewald, D. C. M., Lopez, L. M., Luciano, M., Macare, C., Marquand, A., Matarin, M., Mather, K. A., Mattheisen, M., Mazoyer, B., McKay, D. R., McWhirter, R., Milaneschi, Y., Mirza-Schreiber, N., Muetzel, R. L., Maniega, S. M., Nho, K., Nugent, A. C., Loohuis, L. M. O., Oosterlaan, J., Papmeyer, M., Pappa, I., Pirpamer, L., Pudas, S., Pütz, B., Rajan, K. B., Ramasamy, A., Richards, J. S., Risacher, S. L., Roiz-Santiañez, R., Rommelse, N., Rose, E. J., Royle, N. A., Rundek, T., Sämann, P. G., Satizabal, C. L., Schmaal, L., Schork, A. J., Shen, L., Shin, J., Shumskaya, E., Smith, A. V., Sprooten, E., Strike, L. T., Teumer, A., Thomson, R., Tordesillas-Gutierrez, D., Toro, R., Trabzuni, D., Vaidya, D., Van Der Grond, J., Van Der Meer, D., Van Donkelaar, M. M. J., Van Eijk, K. R., Van Erp, T. G. M., Van Rooij, D., Walton, E., Westlye, L. T., Whelan, C. D., Windham, B. G., Winkler, A. M., Woldehawariat, G., Wolf, C., Wolfers, T., Xu, B., Yanek, L. R., Yang, J., Zijdenbos, A., Zwiers, M. P., Agartz, I., Aggarwal, N. 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C., Gruber, O., Gudnason, V., Guelfi, S., Hansell, N. K., Hardy, J., Hartman, C. A., Hashimoto, R., Hegenscheid, K., Heinz, A., Le Hellard, S., Hernandez, D. G., Heslenfeld, D. J., Ho, B. C., Hoekstra, P. J., Hoffmann, W., Hofman, A., Holsboer, F., Homuth, G., Hosten, N., Hottenga, J. J., Pol, H. E. H., Ikeda, M., Ikram, M. K., Jack, C. R., Jenkinson, M., Johnson, R., Jönsson, E. G., Jukema, J. W., Kahn, R. S., Kanai, R., Kloszewska, I., Knopman, D. S., Kochunov, P., Kwok, J. B., Lawrie, S. M., Lemaître, H., Liu, X., Longo, D. L., Longstreth, W. T., Lopez, O. L., Lovestone, S., Martinez, O., Martinot, J. L., Mattay, V. S., McDonald, C., McIntosh, A. M., McMahon, K. L., McMahon, F. J., Mecocci, P., Melle, I., Meyer-Lindenberg, A., Mohnke, S., Montgomery, G. W., Morris, D. W., Mosley, T. H., Mühleisen, T. W., Müller-Myhsok, B., Nalls, M. A., Nauck, M., Nichols, T. E., Niessen, W. J., Nöthen, M. M., Nyberg, L., Ohi, K., Olvera, R. L., Ophoff, R. 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J., Decarli, C., Schmidt, H., Martin, N. G., De Craen, A. J. M., Wright, M. J., Launer, L. J., Schumann, G., Fornage, M., Franke, B., Debette, S., Medland, S. E., Ikram, M. A. & Thompson, P. M., Dec 1 2016, In : Nature Neuroscience. 19, 12, p. 1569-1582 14 p.

    Research output: Contribution to journalArticlepeer-review

    98 Scopus citations
  • 2017

    Identification of discriminative imaging proteomics associations in Alzheimer’s disease via a novel sparse correlation model

    Alzheimer's Disease Neuroimaging Initiative, 2017, In : Pacific Symposium on Biocomputing. 0, 212679, p. 94-104 11 p.

    Research output: Contribution to journalConference articlepeer-review

    Open Access
    6 Scopus citations
  • 2016

    Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis

    The Alzheimer's Disease Neuroimaging Initiative, Jun 21 2016, In : Nature communications. 7, 11934.

    Research output: Contribution to journalArticlepeer-review

    320 Scopus citations
  • 2018

    A Network-Based Framework for Mining High-Level Imaging Genetic Associations

    Liang, H., Meng, X., Chen, F., Zhang, Q., Yan, J., Yao, X., Kim, S., Wang, L., Feng, W., Saykin, A. J., Li, J. & Shen, L., Jan 1 2018, Imaging Genetics. Elsevier Inc., p. 119-134 16 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • 2016

    Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration

    Cong, S., Rizkalla, M., Salama, P., Risacher, S. L., West, J. D., Wu, Y. C., Apostolova, L., Tallman, E., Saykin, A. J. & Shen, L., Jul 2 2016, 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016. Institute of Electrical and Electronics Engineers Inc., 7870109. (Midwest Symposium on Circuits and Systems; vol. 0).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • 2019

    Type 2 diabetes mellitus, brain atrophy, and cognitive decline

    Moran, C., Beare, R., Wang, W., Callisaya, M., Srikanth, V., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J., Liu, E., Montine, T., Gamst, A., Thomas, R. G. & 234 others, Donohue, M., Walter, S., Gessert, D., Sather, T., Harvey, D., Kornak, J., Dale, A., Bernstein, M., Felmlee, J., Fox, N., Thompson, P., Schuff, N., Alexander, G., Decarli, C., Bandy, D., Koeppe, R. A., Foster, N., Reiman, E. M., Chen, K., Mathis, C., Cairns, N. J., Taylor-Reinwald, L., Trojanowki, J. Q., Shaw, L., Lee, V. M. Y., Korecka, M., Crawford, K., Neu, S., Foroud, T. M., Potkin, S., Shen, L., Kachaturian, Z., Frank, R., Snyder, P. J., Molchan, S., Kaye, J., Quinn, J., Lind, B., Dolen, S., Schneider, L. S., Pawluczyk, S., Spann, B. M., Brewer, J., Vanderswag, H., Heidebrink, J. L., Lord, J. L., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Chowdhury, M., Stern, Y., Honig, L. S., Bell, K. L., Morris, J. C., Ances, B., Carroll, M., Leon, S., Mintun, M. A., Schneider, S., Marson, D., Griffith, R., Clark, D., Grossman, H., Mitsis, E., Romirowsky, A., Detoledo-Morrell, L., Shah, R. C., Duara, R., Varon, D., Roberts, P., Albert, M., Onyike, C., Kielb, S., Rusinek, H., De Leon, M. J., Glodzik, L., De Santi, S., Doraiswamy, P. M., Petrella, J. R., Coleman, R. E., Arnold, S. E., Karlawish, J. H., Wolk, D., Smith, C. D., Jicha, G., Hardy, P., Lopez, O. L., Oakley, M., Simpson, D. M., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Ismail, M. S., Brand, C., Mulnard, R. A., Thai, G., McAdams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Diaz-Arrastia, R., King, R., Weiner, M., Martin-Cook, K., Devous, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Anderson, H. S., Swerdlow, R. H., Apostolova, L., Lu, P. H., Bartzokis, G., Silverman, D. H. S., Graff-Radford, N. R., Parfitt, F., Johnson, H., Farlow, M. R., Hake, A. M., Matthews, B. R., Herring, S., Van Dyck, C. H., Carson, R. E., Macavoy, M. G., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Robin Hsiung, G. Y., Feldman, H., Mudge, B., Assaly, M., Kertesz, A., Rogers, J., Trost, D., Bernick, C., Munic, D., Kerwin, D., Mesulam, M. M., Lipowski, K., Wu, C. K., Johnson, N., Sadowsky, C., Martinez, W., Villena, T., Turner, R. S., Johnson, K., Reynolds, B., Sperling, R. A., Johnson, K. A., Marshall, G., Frey, M., Yesavage, J., Taylor, J. L., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M., Belden, C., Jacobson, S., Kowall, N., Killiany, R., Budson, A. E., Norbash, A., Johnson, P. L., Obisesan, T. O., Wolday, S., Bwayo, S. K., Lerner, A., Hudson, L., Ogrocki, P., Fletcher, E., Carmichael, O., Olichney, J., Kittur, S., Borrie, M., Bartha, D. R., Johnson, S., Asthana, S., Carlsson, C. M., Potkin, S. G., Preda, A., Nguyen, D., Tariot, P., Fleisher, A., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G. D., Blank, K., Anderson, K., Santulli, R. B., Schwartz, E. S., Sink, K. M., Williamson, J. D., Garg, P., Watkins, F., Ott, B. R., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H. J., Miller, B. L., Mintzer, J., Longmire, C. F., Spicer, K., Finger, E., Rachinsky, I., Drost, D., Pomara, N., Hernando, R., Sarrael, A., Schultz, S. K., Boles Ponto, L. L., Shim, H., Smith, K. E., Relkin, N., Chaing, G., Raudin, L., Smith, A., Fargher, K. & Raj, B. A., Feb 19 2019, In : Neurology. 92, 8, p. E823-E830

    Research output: Contribution to journalArticlepeer-review

    13 Scopus citations