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  • Andrew Saykin
Article

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

Subcortical brain iron deposition and cognitive performance in older women with breast cancer receiving adjuvant chemotherapy: A pilot MRI study

Chen, B. T., Ghassaban, K., Jin, T., Patel, S. K., Ye, N., Sun, C. L., Kim, H., Rockne, R. C., Mark Haacke, E., Root, J. C., Saykin, A. J., Ahles, T. A., Holodny, A. I., Prakash, N., Mortimer, J., Waisman, J., Yuan, Y., Somlo, G., Li, D., Yang, R. & 4 others, Tan, H., Katheria, V., Morrison, R. & Hurria, A., Dec 2018, In : Magnetic Resonance Imaging. 54, p. 218-224 7 p.

Research output: Contribution to journalArticle

3 Scopus citations

Subjective cognitive decline and rates of incident Alzheimer's disease and non–Alzheimer's disease dementia

Alzheimer's Disease Neuroimaging Initiative, DESCRIPA working group, INSIGHT-preAD study group & SCD-I working group, Mar 2019, In : Alzheimer's and Dementia. 15, 3, p. 465-476 12 p.

Research output: Contribution to journalArticle

Open Access
29 Scopus citations

Symptom burden among older breast cancer survivors: The Thinking and Living With Cancer (TLC) study

Mandelblatt, J. S., Zhai, W., Ahn, J., Small, B. J., Ahles, T. A., Carroll, J. E., Denduluri, N., Dilawari, A., Extermann, M., Graham, D., Hurria, A., Isaacs, C., Jacobsen, P. B., Jim, H. S. L., Luta, G., McDonald, B. C., Patel, S. K., Root, J. C., Saykin, A. J., Tometich, D. B. & 2 others, Zhou, X. & Cohen, H. J., Mar 15 2020, In : Cancer. 126, 6, p. 1183-1192 10 p.

Research output: Contribution to journalArticle

Systems modeling of white matter microstructural abnormalities in Alzheimer's disease

the Alzheimer's Disease Neuroimaging Initiative (ADNI), 2020, In : NeuroImage: Clinical. 26, 102203.

Research output: Contribution to journalArticle

Open Access

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 journalArticle

3 Scopus citations

Targeted metabolomics and medication classification data from participants in the ADNI1 cohort

St John-Williams, L., Blach, C., Toledo, J. B., Rotroff, D. M., Kim, S., Klavins, K., Baillie, R., Han, X., Mahmoudiandehkordi, S., Jack, J., Massaro, T. J., Lucas, J. E., Louie, G., Motsinger-Reif, A. A., Risacher, S. L., Saykin, A. J., Kastenmüller, G., Arnold, M., Koal, T., Moseley, M. A. & 5 others, Mangravite, L. M., Peters, M. A., Tenenbaum, J. D., Thompson, J. W. & Kaddurah-Daouk, R., Oct 17 2017, In : Scientific Data. 4, 170140.

Research output: Contribution to journalArticle

19 Scopus citations

Targeted neurogenesis pathway-based gene analysis identifies ADORA2A associated with hippocampal volume in mild cognitive impairment and Alzheimer's disease

Alzheimer's Disease Neuroimaging Initiative (ADNI), Dec 2017, In : Neurobiology of Aging. 60, p. 92-103 12 p.

Research output: Contribution to journalArticle

25 Scopus citations

Task-evoked functional connectivity does not explain functional connectivity differences between rest and task conditions

Lynch, L. K., Lu, K. H., Wen, H., Zhang, Y., Saykin, A. J. & Liu, Z., Dec 2018, In : Human Brain Mapping. 39, 12, p. 4939-4948 10 p.

Research output: Contribution to journalArticle

5 Scopus citations

Telomere length associations with cognition depend on Alzheimer's disease biomarkers

Alzheimer's Disease Neuroimaging Initiative, 2019, In : Alzheimer's and Dementia: Translational Research and Clinical Interventions. 5, p. 883-890 8 p.

Research output: Contribution to journalArticle

Open Access
2 Scopus citations

Telomere Shortening in the Alzheimer's Disease Neuroimaging Initiative Cohort

Nudelman, K. N. H., Lin, J., Lane, K. A., Nho, K., Kim, S., Faber, K. M., Risacher, S. L., Foroud, T. M., Gao, S., Davis, J. W., Weiner, M. W. & Saykin, A. J., 2019, In : Journal of Alzheimer's Disease. 71, 1, p. 33-43 11 p.

Research output: Contribution to journalArticle

6 Scopus citations

Testing influences of APOE and BDNF genes and heart failure on cognitive function

Jung, M., Apostolova, L. G., Gao, S., Burney, H. N., Lai, D., Foroud, T., Saykin, A. J. & Pressler, S. J., 2020, (Accepted/In press) In : Heart and Lung.

Research output: Contribution to journalArticle

The Association Between Persistent White-Matter Abnormalities and Repeat Injury After Sport-Related Concussion

Brett, B. L., Wu, Y. C., Mustafi, S. M., Saykin, A. J., Koch, K. M., Nencka, A. S., Giza, C. C., Goldman, J., Guskiewicz, K. M., Mihalik, J. P., Duma, S. M., Broglio, S. P., McAllister, T. W., McCrea, M. A. & Meier, T. B., Jan 21 2020, In : Frontiers in Neurology. 10, 1345.

Research output: Contribution to journalArticle

Open Access

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
7 Scopus citations

The cognitive change index as a measure of self and informant perception of cognitive decline: Relation to neuropsychological tests

Rattanabannakit, C., Risacher, S. L., Gao, S., Lane, K. A., Brown, S. A., McDonald, B. C., Unverzagt, F. W., Apostolova, L. G., Saykin, A. J. & Farlow, M. R., Apr 12 2016, In : Journal of Alzheimer's Disease. 51, 4, p. 1145-1155 11 p.

Research output: Contribution to journalArticle

33 Scopus citations

The effect of the top 20 Alzheimer disease risk genes on gray-matter density and FDG PET brain metabolism

Stage, E., Duran, T., Risacher, S. L., Goukasian, N., Do, T. M., West, J. D., Wilhalme, H., Nho, K., Phillips, M., Elashoff, D., Saykin, A. J. & Apostolova, L. G., 2016, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 5, p. 53-66 14 p.

Research output: Contribution to journalArticle

13 Scopus citations

The executive prominent/memory prominent spectrum in Alzheimer's disease are highly heritable

Alzheimer's Disease Neuroimaging Initiative (ADNI1), Alzheimer's Disease Genetics Consortium (ADGC) & Executive Prominent Alzheimer's Disease: Genetics and Risk Factors (EPAD:GRF), May 1 2016, In : Neurobiology of Aging. 41, p. 115-121 7 p.

Research output: Contribution to journalArticle

7 Scopus citations

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

29 Scopus citations

The Impact of Using Different Reference Populations on Measurement of Breast Cancer-Related Cognitive Impairment Rates

Thinking and Living with Cancer (TLC) Study, Nov 24 2017, In : Archives of Clinical Neuropsychology. 33, 8, p. 956-963 8 p.

Research output: Contribution to journalArticle

5 Scopus citations

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

Avesani, P., McPherson, B., Hayashi, S., Caiafa, C. F., Henschel, R., Garyfallidis, E., Kitchell, L., Bullock, D., Patterson, A., Olivetti, E., Sporns, O., Saykin, A. J., Wang, L., Dinov, I., Hancock, D., Caron, B., Qian, Y. & Pestilli, F., Dec 1 2019, In : Scientific Data. 6, 1, 69.

Research output: Contribution to journalArticle

Open Access
4 Scopus citations

The Vascular Impairment of Cognition Classification Consensus Study

VICCCS group, Jun 2017, In : Alzheimer's and Dementia. 13, 6, p. 624-633 10 p.

Research output: Contribution to journalArticle

36 Scopus citations

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 journalArticle

11 Scopus citations

Topographic staging of tau positron emission tomography images

Alzheimer's Disease Neuroimaging Initiative, 2018, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 10, p. 221-231 11 p.

Research output: Contribution to journalArticle

9 Scopus citations

Transethnic genome-wide scan identifies novel Alzheimer's disease loci

Alzheimer's Disease Genetics Consortium, Jul 2017, In : Alzheimer's and Dementia. 13, 7, p. 727-738 12 p.

Research output: Contribution to journalArticle

45 Scopus citations

Traumatic brain injury and age at onset of cognitive impairment in older adults

Li, W., Risacher, S. L., McAllister, T. W. & Saykin, A. J., Jul 1 2016, In : Journal of neurology. 263, 7, p. 1280-1285 6 p.

Research output: Contribution to journalArticle

29 Scopus citations

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

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
16 Scopus citations

Type 2 diabetes mellitus is associated with brain atrophy and hypometabolism in the ADNI cohort

Li, W., Risacher, S. L., Huang, E. & Saykin, A., Aug 9 2016, In : Neurology. 87, 6, p. 595-600 6 p.

Research output: Contribution to journalArticle

32 Scopus citations

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

The Genetic FTD Initiative (GENFI) & The Alzheimer’s Disease Neuroimaging Initiative (ADNI), Dec 1 2018, In : Nature communications. 9, 1, 4273.

Research output: Contribution to journalArticle

30 Scopus citations

Utility of perfusion PET measures to assess neuronal injury in Alzheimer's disease

Dominantly Inherited Alzheimer Network, Jan 1 2018, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 10, p. 669-677 9 p.

Research output: Contribution to journalArticle

2 Scopus citations

Variants in ACPP are associated with cerebrospinal fluid Prostatic Acid Phosphatase levels

for the Alzheimer's Disease Neuroimaging Initiative, Jun 29 2016, In : BMC genomics. 17, 439.

Research output: Contribution to journalArticle

1 Scopus citations

Variants in CCL16 are associated with blood plasma and cerebrospinal fluid CCL16 protein levels

for the Alzheimer's Disease Neuroimaging Initiative, Jun 29 2016, In : BMC genomics. 17, 437.

Research output: Contribution to journalArticle

1 Scopus citations

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

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

White matter alterations in early-stage Alzheimer's disease: A tract-specific study

Wen, Q., Mustafi, S. M., Li, J., Risacher, S. L., Tallman, E., Brown, S. A., West, J. D., Harezlak, J., Farlow, M. R., Unverzagt, F. W., Gao, S., Apostolova, L. G., Saykin, A. J. & Wu, Y. C., Dec 2019, In : Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 576-587 12 p.

Research output: Contribution to journalArticle

Open Access
5 Scopus citations

White matter hyperintensities and the mediating role of cerebral amyloid angiopathy in dominantly-inherited Alzheimer’s disease

Lee, S., Zimmerman, M. E., Narkhede, A., Nasrabady, S. E., Tosto, G., Meier, I. B., Benzinger, T. L. S., Marcus, D. S., Fagan, A. M., Fox, N. C., Cairns, N. J., Holtzman, D. M., Buckles, V., Ghetti, B., McDade, E., Martins, R. N., Saykin, A. J., Masters, C. L., Ringman, J. M., Fӧrster, S. & 12 others, Schofield, P. R., Sperling, R. A., Johnson, K. A., Chhatwal, J. P., Salloway, S., Correia, S., Jack, C. R., Weiner, M., Bateman, R. J., Morris, J. C., Mayeux, R. & Brickman, A. M., May 2018, In : PloS one. 13, 5, e0195838.

Research output: Contribution to journalArticle

12 Scopus citations

White matter hyperintensities are a core feature of Alzheimer's disease: Evidence from the dominantly inherited Alzheimer network

Lee, S., Viqar, F., Zimmerman, M. E., Narkhede, A., Tosto, G., Benzinger, T. L. S., Marcus, D. S., Fagan, A. M., Goate, A., Fox, N. C., Cairns, N. J., Holtzman, D. M., Buckles, V., Ghetti, B., McDade, E., Martins, R. N., Saykin, A. J., Masters, C. L., Ringman, J. M., Ryan, N. S. & 12 others, Förster, S., Laske, C., Schofield, P. R., Sperling, R. A., Salloway, S., Correia, S., Jack, C., Weiner, M., Bateman, R. J., Morris, J. C., Mayeux, R. & Brickman, A. M., Jun 1 2016, In : Annals of neurology. 79, 6, p. 929-939 11 p.

Research output: Contribution to journalArticle

126 Scopus citations
Chapter

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

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

Neuroimaging in aging and neurologic diseases

Risacher, S. L. & Saykin, A. J., 2019, Handbook of Clinical Neurology. Elsevier B.V., p. 191-227 37 p. (Handbook of Clinical Neurology; vol. 167).

Research output: Chapter in Book/Report/Conference proceedingChapter

Comment/debate

Author Correction: Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing (Nature Genetics, (2019), 51, 3, (414-430), 10.1038/s41588-019-0358-2)

Alzheimer Disease Genetics Consortium (ADGC), The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE) & Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES), Sep 1 2019, In : Nature genetics. 51, 9, p. 1423-1424 2 p.

Research output: Contribution to journalComment/debate

Open Access
2 Scopus citations

Author Correction: Multimodal hippocampal subfield grading for Alzheimer’s disease classification (Scientific Reports, (2019), 9, 1, (13845), 10.1038/s41598-019-49970-9)

Alzheimer’s Disease Neuroimaging Initiative, Dec 1 2020, In : Scientific reports. 10, 1, 10969.

Research output: Contribution to journalComment/debate

Open Access
Conference article

Codon bias among synonymous rare variants is associated with alzheimer’s disease imaging biomarker

Alzheimer’s Disease Neuroimaging Initiative (ADNI), 2018, In : Pacific Symposium on Biocomputing. 0, 212669, p. 365-376 12 p.

Research output: Contribution to journalConference article

5 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 article

3 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 article

Open Access
4 Scopus citations

Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays

Caiafa, C. F., Sporns, O., Saykin, A. & Pestilli, F., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 4341-4352 12 p.

Research output: Contribution to journalConference article

4 Scopus citations
Conference contribution

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

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

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