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  • Li Shen
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  • 2016

    A new statistical image analysis approach and its application to Hippocampal morphometry

    ADNI, 2016, Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Liao, H., Zheng, G., Lee, S-L., Cattin, P. & Jannin, P. (eds.). Springer Verlag, p. 302-310 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9805 LNCS).

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

    1 Scopus citations
  • 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
  • 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
  • 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
  • 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
  • Genetic influences on schizophrenia and subcortical brain volumes: Large-scale proof of concept

    Psychosis Endophenotypes International Consortium, Feb 23 2016, In : Nature Neuroscience. 19, 3, p. 420-431 12 p.

    Research output: Contribution to journalArticlepeer-review

    118 Scopus citations
  • Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer’s Disease

    Hao, X., Yao, X., Yan, J., Risacher, S. L., Saykin, A. J., Zhang, D., Shen, L. & for the Alzheimer’s Disease Neuroimaging Initiative, T. A. D. N. I., Oct 1 2016, In : Neuroinformatics. 14, 4, p. 439-452 14 p.

    Research output: Contribution to journalArticlepeer-review

    12 Scopus citations
  • Identifying significant gene-environment interactions using a combination of screening testing and hierarchical false discovery rate control

    The Alzheimer's Disease Neuroimaging Initiative, Nov 1 2016, In : Genetic epidemiology. 40, 7, p. 544-557 14 p.

    Research output: Contribution to journalArticlepeer-review

    8 Scopus citations
  • Machine learning in brain imaging genomics

    Yan, J., Du, L., Yao, X. & Shen, L., Aug 9 2016, Machine Learning and Medical Imaging. Elsevier Inc., p. 411-434 24 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

    2 Scopus citations
  • Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: A study of ADNI cohorts

    Song, A., Yan, J., Kim, S., Risacher, S. L., Wong, A. K., Saykin, A. J., Shen, L. & Greene, C. S., Jan 19 2016, In : BioData Mining. 9, 1, 3.

    Research output: Contribution to journalArticlepeer-review

    15 Scopus citations
  • 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. T., 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., Chen, C., 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 Geus, E. J. C., De Jager, P. L., De Zubicaray, G. I., Delanty, N., Depondt, C., Destefano, A. L., Dillman, A., Djurovic, S., Donohoe, G., Drevets, W. C., Duggirala, R., Dyer, T. D., Erk, S., Espeseth, T., Evans, D. A., Fedko, I. O., Fernández, G., Ferrucci, L., Fisher, S. E., Fleischman, D. A., Ford, I., Foroud, T. M., Fox, P. T., Francks, C., Fukunaga, M., Gibbs, J. R., Glahn, D. C., Gollub, R. L., Göring, H. H. H., Grabe, H. J., Green, R. 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. 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., Schofield, P. R., Sigurdsson, S., Simmons, A., Singleton, A., Sisodiya, S. M., Smith, C., Smoller, J. W., Soininen, H., Srikanth, V., Steen, V. M., Stott, D. J., Sussmann, J. E., Thalamuthu, A., Tiemeier, H., Toga, A. W., Traynor, B. J., Troncoso, J., Turner, J. A., Tzourio, C., Uitterlinden, A. G., Hernández, M. C. V., Van Der Brug, M., Van Der Lugt, A., Van Der Wee, N. J. A., Van Duijn, C. M., Van Haren, N. E. M., Van't Ent, D., Van Tol, M. J., Vardarajan, B. N., Veltman, D. J., Vernooij, M. W., 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, H. R., Zonderman, A. B., Deary, I. 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
  • Structured sparse canonical correlation analysis for brain imaging genetics: An improved GraphNet method

    Du, L., Huang, H., Yan, J., Kim, S., Risacher, S. L., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., May 15 2016, In : Bioinformatics. 32, 10, p. 1544-1551 8 p.

    Research output: Contribution to journalArticlepeer-review

    43 Scopus citations
  • 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
  • 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
  • Association analysis of rare variants near the APOE region with CSF and neuroimaging biomarkers of Alzheimer’s disease

    Nho, K., Kim, S., Horgusluoglu, E., Risacher, S. L., Shen, L., Kim, D., Lee, S., Foroud, T., Shaw, L. M., Trojanowski, J. Q., Aisen, P. S., Petersen, R. C., Jack, C. R., Weiner, M. W., Green, R. C., Toga, A. W. & Saykin, A. J., May 24 2017, In : BMC Medical Genomics. 10, 29.

    Research output: Contribution to journalArticlepeer-review

    9 Scopus citations
  • Association of plasma neurofilament light with neurodegeneration in patients with Alzheimer disease

    Alzheimer's Disease Neuroimaging Initiative, May 2017, In : JAMA Neurology. 74, 5, p. 557-566 10 p.

    Research output: Contribution to journalArticlepeer-review

    225 Scopus citations
  • BECA: A Software Tool for Integrated Visualization of Human Brain Data

    Li, H., Fang, S., Zigon, B., Sporns, O., Saykin, A. J., Goñi, J. & Shen, L., Jan 1 2017, Brain Informatics - International Conference, BI 2017, Proceedings. Zeng, Y., Xu, B., Martone, M., He, Y., Peng, H., Luo, Q. & Kotaleski, J. H. (eds.). Springer Verlag, p. 285-291 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10654 LNAI).

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

  • 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
  • ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide

    Thompson, P. M., Dennis, E. L., Gutman, B. A., Hibar, D. P., Jahanshad, N., Kelly, S., Stein, J. L., Whelan, C. D., Andreassen, O. A., Arias-Vasquez, A., Bearden, C. E., Boedhoe, P. S., van den Heuvel, O. L., Veltman, D. J., Brouwer, R. M., de Reus, M. A., Pol, H. E. H., van den Heuvel, M. P., Buckner, R. L., Buitelaar, J. K. & 51 others, Fisher, S. E., Francks, C., Franke, B., Hoogman, M., van Rooij, D., Bulayeva, K. B., Cannon, D. M., McDonald, C., Cohen, R. A., Conrod, P. J., Dale, A. M., Holland, D., Deary, I. J., Wardlaw, J. M., Desrivieres, S., Schumann, G., Dima, D., Frangou, S., Donohoe, G., Guadalupe, T., Fouche, J. P., Stein, D. J., Ganjgahi, H., Garavan, H., Glahn, D. C., Grabe, H. J., Hashimoto, R., Hosten, N., Kochunov, P., Kremen, W. S., Lee, P. H., Mackey, S., Mazoyer, B., Martin, N. G., Medland, S. E., Morey, R. A., Nichols, T. E., Paus, T., Pausova, Z., Shen, L., Sisodiya, S. M., Smit, D. J. A., Smoller, J. W., Toro, R., Turner, J. A., Schmaal, L., van Erp, T. G. M., Walter, H., Wang, Y., Wright, M. J. & Ye, J., Jan 15 2017, In : NeuroImage. 145, p. 389-408 20 p.

    Research output: Contribution to journalArticlepeer-review

    87 Scopus citations
  • Genome-wide association and interaction studies of CSF T-tau/Aβ42 ratio in ADNI cohort

    Li, J., Zhang, Q., Chen, F., Meng, X., Liu, W., Chen, D., Yan, J., Kim, S., Wang, L., Feng, W., Saykin, A. J., Liang, H. & Shen, L., Sep 2017, In : Neurobiology of Aging. 57, p. 247.e1-247.e8

    Research output: Contribution to journalArticlepeer-review

    12 Scopus citations
  • Genome-wide network-based pathway analysis of CSF t-tau/Aβ1-42 ratio in the ADNI cohort

    for the Alzheimer's Disease Neuroimaging Initiative, May 30 2017, In : BMC genomics. 18, 1, 421.

    Research output: Contribution to journalArticlepeer-review

    6 Scopus citations
  • Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis

    Hao, X., Li, C., Yan, J., Yao, X., Risacher, S. L., Saykin, A. J., Shen, L. & Zhang, D., Jul 15 2017, In : Bioinformatics. 33, 14, p. i341-i349

    Research output: Contribution to journalArticlepeer-review

    12 Scopus citations
  • 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
  • Identifying associations between brain imaging phenotypes and genetic factors via a novel structured SCCA approach

    Du, L., Zhang, T., Liu, K., Yan, J., Yao, X., Risacher, S. L., Saykin, A., Han, J., Guo, L. & Shen, L., 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, Vol. 10265 LNCS. p. 543-555 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

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

    5 Scopus citations
  • Imaging genomics

    Shen, L. & Cooper, L. A. D., 2017, In : Pacific Symposium on Biocomputing. 0, 212679, p. 51-57 7 p.

    Research output: Contribution to journalConference articlepeer-review

    2 Scopus citations
  • Longitudinal genotype-phenotype association study via temporal structure auto-learning predictive model

    The ADNI, Jan 1 2017, Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Sahinalp, S. C. (ed.). Springer Verlag, p. 287-302 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10229 LNCS).

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

    4 Scopus citations
  • Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer’s disease neuroimaging initiative

    Alzheimer’s Disease Neuroimaging Initiative, Nov 2017, In : PloS one. 12, 11, e0186095.

    Research output: Contribution to journalArticlepeer-review

    5 Scopus citations
  • Metabolic network failures in Alzheimer's disease: A biochemical road map

    Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium, Sep 2017, In : Alzheimer's and Dementia. 13, 9, p. 965-984 20 p.

    Research output: Contribution to journalArticlepeer-review

    99 Scopus citations
  • Mining outcome-relevant brain imaging genetic associations via three-way sparse canonical correlation analysis in Alzheimer's disease

    Hao, X., Li, C., Du, L., Yao, X., Yan, J., Risacher, S. L., Saykin, A. J., Shen, L. & Zhang, D., Mar 14 2017, In : Scientific reports. 7, 44272.

    Research output: Contribution to journalArticlepeer-review

    11 Scopus citations
  • Network approaches to systems biology analysis of complex disease: Integrative methods for multi-omics data

    Yan, J., Risacher, S. L., Shen, L. & Saykin, A. J., May 30 2017, In : Briefings in Bioinformatics. 19, 6, p. 1370-1381 12 p.

    Research output: Contribution to journalArticlepeer-review

    52 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

  • New probabilistic multi-graph decomposition model to identify consistent human brain network modules

    Luo, D., Huo, Z., Wang, Y., Saykin, A. J., Shen, L. & Huang, H., Jan 31 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 301-310 10 p. 7837854. (Proceedings - IEEE International Conference on Data Mining, ICDM).

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

    1 Scopus citations
  • 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
  • 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
  • Pattern Discovery from Directional High-Order Drug-Drug Interaction Relations

    Ning, X., Schleyer, T., 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. 154-162 9 p. 8031143. (Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017).

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

    5 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
  • 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
  • Predicting interrelated Alzheimer’s disease outcomes via new self-learned structured low-rank model

    Wang, X., Liu, K., Yan, J., Risacher, S. L., Saykin, A. J., Shen, L. & Huang, H., Jan 1 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Zhu, H., Niethammer, M., Styner, M., Zhu, H., Shen, D., Yap, P-T., Aylward, S. & Oguz, I. (eds.). Springer Verlag, p. 198-209 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

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

    2 Scopus citations
  • 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

  • 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
  • Statistical Shape Analysis for Brain Structures

    Shen, L., Cong, S. & Inlow, M., Mar 23 2017, Statistical Shape and Deformation Analysis: Methods, Implementation and Applications. Elsevier Inc., p. 351-378 28 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules

    Alzheimer's Disease Neuroimaging Initiative, Oct 15 2017, In : Bioinformatics. 33, 20, p. 3250-3257 8 p.

    Research output: Contribution to journalArticlepeer-review

    11 Scopus citations
  • Transcriptome-guided imaging genetic analysis via a novel sparse CCA algorithm

    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. 220-229 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

  • 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
  • 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

  • A novel SCCA approach via truncated â.," 1-norm and truncated group lasso for brain imaging genetics

    Du, L., Liu, K., Zhang, T., Yao, X., Yan, J., Risacher, S. L., Han, J., Guo, L., Saykin, A. J. & Shen, L., Jan 15 2018, In : Bioinformatics. 34, 2, p. 278-285 8 p.

    Research output: Contribution to journalArticlepeer-review

    11 Scopus citations
  • A Review of Statistical-learning Imaging Genetics

    Hao, X. K., Li, C. X., Yan, J. W., Shen, L. & Zhang, D. Q., Jan 2018, In : Zidonghua Xuebao/Acta Automatica Sinica. 44, 1, p. 13-24 12 p.

    Research output: Contribution to journalReview articlepeer-review

  • 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

  • Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer’s disease

    for the Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2018, In : Scientific reports. 8, 1, 13807.

    Research output: Contribution to journalArticlepeer-review

    4 Scopus citations
  • GPU Accelerated Browser for Neuroimaging Genomics

    Alzheimer’s Disease Neuroimaging Initiative, Oct 1 2018, In : Neuroinformatics. 16, 3-4, p. 393-402 10 p.

    Research output: Contribution to journalArticlepeer-review