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  • Li Shen
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
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
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

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
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

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
2018

Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis

Liu, K., Wang, H., 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. 1402-1405 4 p.

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

3 Scopus citations
2020

Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach

Du, L., Liu, K., Yao, X., Risacher, S. L., Han, J., Saykin, A. J., Guo, L. & Shen, L., Apr 2020, In : Medical Image Analysis. 61, 101656.

Research output: Contribution to journalArticle

1 Scopus citations
2017

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
2020

Regional imaging genetic enrichment analysis

Yao, X., Cong, S., Yan, J., Risacher, S. L., Saykin, A. J., Moore, J. H. & Shen, L., Apr 15 2020, In : Bioinformatics. 36, 8, p. 2554-2560 7 p.

Research output: Contribution to journalArticle

1 Scopus citations
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

2017

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 journalArticle

1 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 journalArticle

Open Access
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

2020

Brain Imaging Genomics: Integrated Analysis and Machine Learning

Shen, L. & Thompson, P. M., Jan 2020, In : Proceedings of the IEEE. 108, 1, p. 125-162 38 p., 8886705.

Research output: Contribution to journalArticle

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 journalArticle

2019

Joint between-sample normalization and differential expression detection through 0-regularized regression

Liu, K., Shen, L. & Jiang, H., Dec 2 2019, In : BMC bioinformatics. 20, 593.

Research output: Contribution to journalArticle

Open Access
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 journalArticle

6 Scopus citations
2019

Genome-wide network-assisted association and enrichment study of amyloid imaging phenotype in alzheimer’s disease

Alzheimer’s Disease Neuroimaging Initiative, Jan 1 2019, In : Current Alzheimer research. 16, 13, p. 1163-1174 12 p.

Research output: Contribution to journalArticle

2 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

47 Scopus citations
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 journalArticle

4 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

2017

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 journalArticle

5 Scopus citations
2019

Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning

Hao, X., Yao, X., Risacher, S. L., Saykin, A. J., Yu, J., Wang, H., Tan, L., Shen, L. & Zhang, D., Nov 1 2019, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16, 6, p. 1986-1996 11 p., 8355682.

Research output: Contribution to journalArticle

2020

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 journalArticle

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

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
2020

Volumetric GWAS of medial temporal lobe structures identifies an ERC1 locus using ADNI high-resolution T2-weighted MRI data

UK Brain Expression Consortium & Alzheimer's Disease Neuroimaging Initiative, Nov 2020, In : Neurobiology of Aging. 95, p. 81-93 13 p.

Research output: Contribution to journalArticle

Open Access
2018

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
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 journalArticle

11 Scopus citations

The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory

The Alzheimer’s Disease Neuroimaging Initiative (ADNI), Dec 1 2019, In : Nature communications. 10, 1, 1766.

Research output: Contribution to journalArticle

Open Access
8 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 journalArticle

Open Access
10 Scopus citations
2016

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 journalArticle

118 Scopus citations
2017

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 journalArticle

84 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 journalArticle

34 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

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

4 Scopus citations
2020

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 journalArticle

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 journalArticle

13 Scopus citations
2017

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

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 journalArticle

Mining and visualizing high-order directional drug interaction effects using the FAERS database

Yao, X., Tsang, T., Sun, Q., Quinney, S., Zhang, P., Ning, X., Li, L. & Shen, L., Mar 18 2020, In : BMC medical informatics and decision making. 20, 50.

Research output: Contribution to journalArticle

Open Access
2019

Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database

Chasioti, D., Yao, X., Zhang, P., Lerner, S., Quinney, S. K., Ning, X., Li, L. & Shen, L., Sep 2019, In : IEEE Journal of Biomedical and Health Informatics. 23, 5, p. 2156-2163 8 p., 8485332.

Research output: Contribution to journalArticle

2 Scopus citations

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

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 journalEditorial

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

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

2 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 article

3 Scopus citations
2018

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 journalArticle