Andrew J. Saykin
Orcid: 0000-0002-1376-8532
According to our database1,
Andrew J. Saykin
authored at least 135 papers
between 1998 and 2024.
Collaborative distances:
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Bibliography
2024
2023
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease.
NeuroImage, October, 2023
Integrative analysis of multi-omics and imaging data with incorporation of biological information via structural Bayesian factor analysis.
Briefings Bioinform., March, 2023
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2022
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics.
Medical Image Anal., 2022
Deep learning-based identification of genetic variants: application to Alzheimer's disease classification.
Briefings Bioinform., 2022
Consistency of Graph Theoretical Measurements of Alzheimer's Disease Fiber Density Connectomes Across Multiple Parcellation Scales.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
NeuroImage, 2021
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.
CoRR, 2021
Integrative-omics for discovery of network-level disease biomarkers: a case study in Alzheimer's disease.
Briefings Bioinform., 2021
WEVar: a novel statistical learning framework for predicting noncoding regulatory variants.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021
2020
Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.
IEEE Trans. Medical Imaging, 2020
Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.
BMC Medical Informatics Decis. Mak., 2020
Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease.
Medical Image Anal., 2020
Detecting genetic associations with brain imaging phenotypes in Alzheimer's disease via a novel structured SCCA approach.
Medical Image Anal., 2020
Brain-wide structural connectivity alterations under the control of Alzheimer risk genes.
Int. J. Comput. Biol. Drug Des., 2020
Personalized Prioritization of Cognitive Biomarkers in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
CoRR, 2020
Deep learning detection of informative features in tau PET for Alzheimer's disease classification.
BMC Bioinform., 2020
Identifying diagnosis-specific genotype-phenotype associations via joint multitask sparse canonical correlation analysis and classification.
Bioinform., 2020
Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes.
Proceedings of the AMIA 2020, 2020
2019
Identifying Candidate Genetic Associations with MRI-Derived AD-Related ROI via Tree-Guided Sparse Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Deep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data.
CoRR, 2019
Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort.
Bioinform., 2019
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Disruption of gene co-expression network along the progression of Alzheimer's disease.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Prioritization of Cognitive Assessments in Alzheimer's Disease via Learning to Rank using Brain Morphometric Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Longitudinal Genotype-Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model.
J. Comput. Biol., 2018
Quantitative trait loci identification for brain endophenotypes via new additive model with random networks.
Bioinform., 2018
A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics.
Bioinform., 2018
Network approaches to systems biology analysis of complex disease: integrative methods for multi-omics data.
Briefings Bioinform., 2018
Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018
Towards Subject and Diagnostic Identifiability in the Alzheimer's Disease Spectrum Based on Functional Connectomes.
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018
Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Predicting progressions of cognitive outcomes via high-order multi-modal multi-task feature learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Multiple incomplete views clustering via non-negative matrix factorization with its application in Alzheimer's disease analysis.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease.
BMC Medical Informatics Decis. Mak., 2017
Two-dimensional enrichment analysis for mining high-level imaging genetic associations.
Brain Informatics, 2017
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules.
Bioinform., 2017
Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
Bioinform., 2017
Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model.
Proceedings of the Research in Computational Molecular Biology, 2017
Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017
Predicting Interrelated Alzheimer's Disease Outcomes via New Self-learned Structured Low-Rank Model.
Proceedings of the Information Processing in Medical Imaging, 2017
Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via a Novel Structured SCCA Approach.
Proceedings of the Information Processing in Medical Imaging, 2017
Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the Brain Informatics - International Conference, 2017
2016
Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Neuroinformatics, 2016
BMC Syst. Biol., 2016
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet method.
Bioinform., 2016
Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts.
BioData Min., 2016
Proceedings of the 7th International EuroVis Workshop on Visual Analytics, 2016
Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016
Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration.
Proceedings of the IEEE 59th International Midwest Symposium on Circuits and Systems, 2016
A New Statistical Image Analysis Approach and Its Application to Hippocampal Morphometry.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016
New Probabilistic Multi-graph Decomposition Model to Identify Consistent Human Brain Network Modules.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Sparse Canonical Correlation Analysis via truncated ℓ1-norm with application to brain imaging genetics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
BioData Min., 2015
Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease.
Proceedings of the IEEE 58th International Midwest Symposium on Circuits and Systems, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015
GN-SCCA: GraphNet Based Sparse Canonical Correlation Analysis for Brain Imaging Genetics.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015
2014
Identifying the Neuroanatomical Basis of Cognitive Impairment in Alzheimer's Disease by Correlation- and Nonlinearity-Aware Sparse Bayesian Learning.
IEEE Trans. Medical Imaging, 2014
Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.
Bioinform., 2014
BioData Min., 2014
Accelerating Sparse Canonical Correlation Analysis for Large Brain Imaging Genetics Data.
Proceedings of the Annual Conference of the Extreme Science and Engineering Discovery Environment, 2014
Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM.
Proceedings of the IEEE 57th International Midwest Symposium on Circuits and Systems, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Joint identification of imaging and proteomics biomarkers of Alzheimer's disease using network-guided sparse learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
Robust estimation of fractal measures for characterizing the structural complexity of the human brain: Optimization and reproducibility.
NeuroImage, 2013
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
PARP1 Gene Variation and Microglial Activity on [11C]PBR28 PET in Older Adults at Risk for Alzheimer's Disease.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
A Graph-Based Integration of Multimodal Brain Imaging Data for the Detection of Early Mild Cognitive Impairment (E-MCI).
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Structural Brain Network Constrained Neuroimaging Marker Identification for Predicting Cognitive Functions.
Proceedings of the Information Processing in Medical Imaging, 2013
Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease.
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013
2012
Erratum to "A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's Disease in the ADNI cohort" [Neuroimage 60/3(2012) 1608-1621].
NeuroImage, 2012
A large scale multivariate parallel ICA method reveals novel imaging-genetic relationships for Alzheimer's disease in the ADNI cohort.
NeuroImage, 2012
Characteristics and variability of structural networks derived from diffusion tensor imaging.
NeuroImage, 2012
From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs.
Bioinform., 2012
Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning.
Bioinform., 2012
Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort.
Bioinform., 2012
Proceedings of the 14th Eurographics Conference on Visualization, 2012
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
NeuroImage, 2011
Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects.
NeuroImage, 2011
Identifying AD-Sensitive and Cognition-Relevant Imaging Biomarkers via Joint Classification and Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Hippocampal Surface Mapping of Genetic Risk Factors in AD via Sparse Learning Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance.
Proceedings of the IEEE International Conference on Computer Vision, 2011
2010
Age-related neuroinflammation in non-demented elderly adults: Preliminary findings with the TSPO ligand [11C]PBR28.
NeuroImage, 2010
Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease.
NeuroImage, 2010
Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort.
NeuroImage, 2010
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
Comput. Graph., 2009
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009
2007
IEEE Trans. Inf. Technol. Biomed., 2007
Proceedings of the Fourth Canadian Conference on Computer and Robot Vision (CRV 2007), 2007
Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2004
Intell. Data Anal., 2004
Shape-based discriminative analysis of combined bilateral hippocampi using multiple object alignment.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
2003
A Spatio-temporal Multi-modal Data Management and Analysis Environment for Tracking MS Lesions.
Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM 2003), 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
2002
Proceedings of the Research and Advanced Technology for Digital Libraries, 2002
2001
NeuroImage, 2001
1998
Proceedings of the 6th ACM International Conference on Multimedia '98, 1998