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  • Li Shen
2019

Improved prediction of cognitive outcomes via globally aligned imaging biomarker enrichments over progressions

for the ADNI, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 140-148 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

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

2018

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 article

2013

Interactive object extraction by merging regions with k-global maximal similarity

Li, T., Xie, Z., Wu, J., Yan, J. & Shen, L., Nov 23 2013, In : Neurocomputing. 120, p. 610-623 14 p.

Research output: Contribution to journalArticle

6 Scopus citations
2015

Erratum to: A new hydropathy scale that improves disorder prediction, [BMC Bioinformatics, 15(Suppl 17) (2014), 54]

Huang, F., Oldfield, C. J., Xue, B., Hsu, W. L., Meng, J., Liu, X., Shen, L., Romero, P., Uversky, V. N. & Dunker, A. K., Jul 31 2015, In : BMC bioinformatics. 16, 1, 241.

Research output: Contribution to journalComment/debate

2019

Rapid acceleration of the permutation test via transpositions

Chung, M. K., Xie, L., Huang, S. G., Wang, Y., Yan, J. & Shen, L., Jan 1 2019, Connectomics in NeuroImaging - 3rd International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Schirmer, M. D., Chung, A. W., Venkataraman, A., Rekik, I. & Kim, M. (eds.). Springer, p. 42-53 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11848 LNCS).

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

2015

Graphic Mining of High-Order Drug Interactions and Their Directional Effects on Myopathy Using Electronic Medical Records

Du, L., Chakraborty, A., Chiang, C. W., Cheng, L., Quinney, S. K., Wu, H., Zhang, P., Li, L. & Shen, L., Aug 1 2015, In : CPT: Pharmacometrics and Systems Pharmacology. 4, 8, p. 481-488 8 p.

Research output: Contribution to journalArticle

7 Scopus citations
2017

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 journalArticle

6 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
2019

Interactive Machine Learning by Visualization: A Small Data Solution

Li, H., Fang, S., Mukhopadhyay, S., Saykin, A. J. & Shen, L., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 3513-3521 9 p. 8621952. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

2012

Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning

Wang, H., Nie, F., Huang, H., Risacher, S. L., Saykin, A. J. & Shen, L., Jun 1 2012, In : Bioinformatics. 28, 12, p. i127-i136 bts228.

Research output: Contribution to journalArticle

72 Scopus citations
2017

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 journalArticle

10 Scopus citations
2018

Volumetric comparison of hippocampal subfields extracted from 4-minute accelerated vs. 8-minute high-resolution T2-weighted 3T MRI scans

Cong, S., Risacher, S. L., West, J. D., Wu, Y. C., Apostolova, L. G., Tallman, E., Rizkalla, M., Salama, P., Saykin, A. J. & Shen, L., Dec 1 2018, In : Brain Imaging and Behavior. 12, 6, p. 1583-1595 13 p.

Research output: Contribution to journalArticle

3 Scopus citations
2015

Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease

Cong, S., Rizkalla, M., Salama, P., West, J., Risacher, S., Saykin, A. & Shen, L., Sep 28 2015, IEEE 58th International Midwest Symposium on Circuits and Systems: Climbing to New Heights, MWSCAS 2015 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 7282173. (Midwest Symposium on Circuits and Systems; vol. 2015-September).

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

4 Scopus citations
2014

Human connectome module pattern detection using a new multi-graph MinMax cut model.

De, W., Wang, Y., Nie, F., Yan, J., Cai, W., Saykin, A., Shen, L. & Huang, H., 2014, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 3 ed. Vol. 17. p. 313-320 8 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations
2016

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 journalArticle

11 Scopus citations
2014

Identifying the neuroanatomical basis of cognitive impairment in Alzheimer's disease by correlation-and nonlinearity-aware sparse bayesian learning

Wan, J., Zhang, Z., Rao, B. D., Fang, S., Yan, J., Saykin, A. J. & Shen, L., Jul 2014, In : IEEE Transactions on Medical Imaging. 33, 7, p. 1475-1487 13 p., 6781587.

Research output: Contribution to journalArticle

27 Scopus citations

Joint identification of imaging and proteomics biomarkers of alzheimer's disease using network-guided sparse learning

Yan, J., Huang, H., Kim, S., Moore, J., Saykin, A. & Shen, L., Jul 29 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., p. 665-668 4 p. 6867958. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

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

1 Scopus citations

Data synthesis and method evaluation for brain imaging genetics

Sheng, J., Kim, S., Yan, J., Moore, J., Saykin, A. & Shen, L., Jul 29 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., p. 1202-1205 4 p. 6868091. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

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

6 Scopus citations
2017

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 journalArticle

5 Scopus citations
2014

Human connectome module pattern detection using a new multi-graph MinMax cut model

Wang, D., Wang, Y., Nie, F., Yan, J., Cai, W., Saykin, A. J., Shen, L. & Huang, H., Jan 1 2014, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 3 ed. Springer Verlag, p. 313-320 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8675 LNCS, no. PART 3).

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

6 Scopus citations
2017

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 journalArticle

44 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 journalArticle

7 Scopus citations
2018

Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning

Lu, L., Wang, H., Yao, X., Risacher, S., Saykin, A. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April. p. 545-548 4 p.

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

2 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
2012

A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort

Meda, S. A., Narayanan, B., Liu, J., Perrone-Bizzozero, N. I., Stevens, M. C., Calhoun, V. D., Glahn, D. C., Shen, L., Risacher, S. L., Saykin, A. J. & Pearlson, G. D., Apr 15 2012, In : NeuroImage. 60, 3, p. 1608-1621 14 p.

Research output: Contribution to journalArticle

79 Scopus citations
2011

Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance

Wang, H., Nie, F., Huang, H., Risacher, S., Ding, C., Saykin, A. J. & Shen, L., Dec 1 2011, 2011 International Conference on Computer Vision, ICCV 2011. p. 557-562 6 p. 6126288. (Proceedings of the IEEE International Conference on Computer Vision).

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

88 Scopus citations
2014

Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm

Yan, J., Du, L., Kim, S., Risacher, S. L., Huang, H., Moore, J. H., Saykin, A. J. & Shen, L., Sep 1 2014, In : Bioinformatics. 30, 17, p. i564-i571

Research output: Contribution to journalArticle

30 Scopus citations
2016

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 journalArticle

8 Scopus citations
2011

Identifying AD-sensitive and cognition-relevant imaging biomarkers via joint classification and regression

Wang, H., Nie, F., Huang, H., Risacher, S., Saykin, A. J. & Shen, L., Oct 11 2011, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 3 ed. p. 115-123 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6893 LNCS, no. PART 3).

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

Open Access
53 Scopus citations
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

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

2019

A dirty multi-task learning method for multi-modal brain imaging genetics

for the Alzheimer’s Disease Neuroimaging Initiative, Jan 1 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer, p. 447-455 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

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

2016

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 journalArticle

40 Scopus citations
2018

Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model

Yan, J., Liu, K., Lv, H., Amico, E., Risacher, S. L., Wu, Y. C., Fang, S., Sporns, O., Saykin, A. J., Goni, J. & Shen, L., May 23 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 6-9 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

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

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

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 journalArticle

Open Access
2015

Integrated visualization of human brain connectome data

Li, H., Fang, S., Goni, J., Contreras, J. A., Liang, Y., Cai, C., West, J. D., Risacher, S. L., Wang, Y., Sporns, O., Saykin, A., Shen, L. & ADNI, 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9250. p. 295-305 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9250).

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

3 Scopus citations
2020

A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease

Liu, M., Li, F., Yan, H., Wang, K., Ma, Y., Shen, L. & Xu, M., Mar 2020, In : NeuroImage. 208, 116459.

Research output: Contribution to journalArticle

Open Access
3 Scopus citations
2015

Computed tomography assessment of peripubertal craniofacial morphology in a sheep model of binge alcohol drinking in the first trimester

Birch, S. M., Lenox, M. W., Kornegay, J. N., Shen, L., Ai, H., Ren, X., Goodlett, C. R., Cudd, T. A. & Washburn, S. E., Mar 2 2015, In : Alcohol. 49, 7, p. 675-689 15 p.

Research output: Contribution to journalArticle

2 Scopus citations

A Mixture Dose-Response Model for Identifying High-Dimensional Drug Interaction Effects on Myopathy Using Electronic Medical Record Databases

Zhang, P., Du, L., Wang, L., Liu, M., Cheng, L., Chiang, C. W., Wu, H. Y., Quinney, S. K., Shen, L. & Li, L., Aug 1 2015, In : CPT: Pharmacometrics and Systems Pharmacology. 4, 8, p. 474-480 7 p.

Research output: Contribution to journalArticle

9 Scopus citations
2014

A novel structure-aware sparse learning algorithm for brain imaging genetics

Du, L., Yan, J., Kim, S., Risacher, S. L., Huang, H., Inlow, M., Moore, J. H., Saykin, A. J. & Shen, L., 2014, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 3 ed. Springer Verlag, p. 329-336 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8675 LNCS, no. PART 3).

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

24 Scopus citations
2019

Multimodal Brain Image Analysis (MBIA)

Zhu, D., Yan, J., Huang, H., Shen, L., Thompson, P. M. & Westin, C. F., Jan 1 2019, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11846 LNCS

Research output: Contribution to journalEditorial

2020

Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction

Brand, L., Nichols, K., Wang, H., Shen, L. & Huang, H., Jun 2020, In : IEEE Transactions on Medical Imaging. 39, 6, p. 1845-1855 11 p., 8932589.

Research output: Contribution to journalArticle

2014

Association of plasma and cortical amyloid beta is modulated by APOE ε4 status

Swaminathan, S., Risacher, S. L., Yoder, K. K., West, J. D., Shen, L., Kim, S., Inlow, M., Foroud, T., Jagust, W. J., Koeppe, R. A., Mathis, C. A., Shaw, L. M., Trojanowski, J. Q., Soares, H., Aisen, P. S., Petersen, R. C., Weiner, M. W. & Saykin, A. J., Jan 2014, In : Alzheimer's and Dementia. 10, 1, p. e9-e18

Research output: Contribution to journalArticle

26 Scopus citations
2015

Protective variant for hippocampal atrophy identified by whole exome sequencing

Nho, K., Kim, S., Risacher, S. L., Shen, L., Corneveaux, J. J., Swaminathan, S., Lin, H., Ramanan, V. K., Liu, Y., Foroud, T. M., Inlow, M. H., Siniard, A. L., Reiman, R. A., Aisen, P. S., Petersen, R. C., Green, R. C., Jack, C. R., Weiner, M. W., Baldwin, C. T., Lunetta, K. L. & 14 others, Farrer, L. A., Furney, S. J., Lovestone, S., Simmons, A., Mecocci, P., Vellas, B., Tsolaki, M., Kloszewska, I., Soininen, H., McDonald, B. C., Farlow, M. R., Ghetti, B., Huentelman, M. J. & Saykin, A. J., Mar 1 2015, In : Annals of neurology. 77, 3, p. 547-552 6 p.

Research output: Contribution to journalArticle

37 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. 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. 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90 Scopus citations
2014

The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data

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348 Scopus citations
2017

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.

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201 Scopus citations
2015

Large-scale genomics unveil polygenic architecture of human cortical surface area

Chen, C. H., Peng, Q., Schork, A. J., Lo, M. T., Fan, C. C., Wang, Y., Desikan, R. S., Bettella, F., Hagler, D. J., Westlye, L. T., Kremen, W. S., Jernigan, T. L., Le Hellard, S., Steen, V. M., Espeseth, T., Huentelman, M., Håberg, A. K., Agartz, I., Djurovic, S., Andreassen, O. A. & 86 others, Schork, N., Dale, A. M., McCabe, C., Chang, L., Akshoomoff, N., Newman, E., Ernst, T., Van Zijl, P., Kuperman, J., Murray, S., Bloss, C., Appelbaum, M., Gamst, A., Thompson, W., Bartsch, H., 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., Shaw, L. M., Khachaturian, Z., Sorensen, G., Carrillo, M., Kuller, L., Raichle, M., Paul, S., Davies, P., Fillit, H., Hefti, F., Holtzman, D., Mesulman, M. M., Potter, W., Snyder, P. J., Schwartz, A., Montine, T., Thomas, R. G., Donohue, M., Walter, S., Gessert, D., Sather, T., Jiminez, G., 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., Householder, E., Taylor-Reinwald, L., Lee, V. M. Y., Korecka, M., Figurski, M., Crawford, K., Neu, S., Foroud, T. M., Potkin, S., Shen, L., Faber, K., Kim, S., Nho, K., Thal, L., Frank, R., Buckholtz, N., Albert, M. & Hsiao, J., Jul 20 2015, In : Nature communications. 6, 7549.

Research output: Contribution to journalArticle

23 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 journalArticle

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