百晓学者学者目录

姚晓辉

副教授、博士生导师、博导、硕士生导师、硕导，哈尔滨工程大学

精选作品

期刊论文

2026

scURL: uncertainty-sharpened representation learning for single-cell multi-omics clustering

Hongwei Liu, Donghui Yu, Wei Li, Tong Zhang, Ching-Yu Cheng, Huazhu Fu, Hong Liang, Shan Cong, Xiaohui Yao

Bioinformatics

DOI

2026

BriGHT: transcriptome-regularized multimodal neuroimaging for brain disorder prediction

Zhoujie Fan, Haoran Luo, Huilong Zhou, Hao Meng, Hong Liang, Zheng Wang, Huazhu Fu, Ching‐Yu Cheng, Shan Cong, Xiaohui Yao

Bioinformatics

DOI

2026

CAMM: Confidence-Aligned Multiview Multimodal Fusion for Brain Disorders Prediction With Imaging Transcriptomics

Haoran Luo, Zhoujie Fan, Wei Li, Hong Liang, Chen Zhang, Xiaoyong Wei, Zheng Wang, Shan Cong, Xiaohui Yao

IEEE Journal of Biomedical and Health Informatics

DOI

2026

TNM-Accountable Whole-Body 3-Dimensional Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Report Drafting in Lung Cancer Cohorts via Structured Impressions and Organ-wise Exemplar Synthesis

Hang Wang, Xingyu Xie, Entao Liu, Yunlong Gao, Xiaorui Wu, Shan Cong, Jidong Han, Na Zhang, Hairong Zheng, Dong Liang, Xiaohui Yao, Lei Jiang, Zhanli Hu

Research

DOI

2026

Convergence of spatially dispersed atrophy into functional networks in temporal lobe epilepsy: glial-immune signature associated with circuit dysfunction and treatment response

Yichun Huang, Zirong Chen, Miao Zhang, Yuting Sun, Qunbo Jia, Hongyi Li, R. Ju, Shan Cong, Xiaohui Yao, Jiahao Huang, Yuanjing Feng, Biao Li, Jinou Zheng, Zheng Wang

Neurobiology of Disease

DOI

2025

DC-GCE Loss: Robust Medical Image Classification Under Label Noise

Chaoyi Ke, Yuhang Sun, Weihao Xia, Xiangyu Ma, Xiaohui Yao, Shan Cong, James Lo, Huachuan Wang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2025

Mutual learning for joint disease detection and severity prediction reveals multimodal pathogenesis for neurodegenerative disorders

Jin Zhang, Yixin Ji, Jinhua Liu, Wenrui Cui, Xiaohui Yao, Hongdong Li, Daoqiang Zhang, Lei Du, Alzheimer’s Disease Neuroimaging Initiative, Michael Walter Weiner, Paul Aisen, Ronald Petersen, Michael Walter Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack, William Jagust, Susan Landau, Monica Rivera-Mindt, Ozioma Okonkwo, Leslie M. Shaw, Edward B Lee, Arthur W. Toga, Laurel A. Beckett, Danielle Harvey, Robert C. Green, Andrew J. Saykin, Kwangsik T. Nho, Richard J Perrin, Duygu Tosun, Pallavi Sachdev, Robert C. Green, Erin Drake, Tom Montine, Cat Conti, Michael Walter Weiner, Rachel Nosheny, Diana Truran, Juliet Fockler, Melanie J. Miller, Catherine (Cat) Conti, Winnie Kwang, Chengshi Jin, Adam Diaz, Miriam Ashford, Derek Flenniken, Adrienne Kormos, Ronald Petersen, Paul Aisen, Michael Rafii, Rema Raman, Gustavo Jimenez, Michael Donohue, Jennifer Salazar, Andrea Fidell, Virginia Boatwright, Justin Robison, Caileigh Zimmerman, Yuliana Cabrera, Sarah Walter, Taylor Clanton, Elizabeth Shaffer, Caitlin Webb, Lindsey Hergesheimer, Stephanie Smith, Sheila Ogwang, Olusegun Adegoke, Payam Mahboubi, Jeremy Pizzola, Cecily Jenkins, Laurel A. Beckett, Danielle Harvey, Michael Donohue, Naomi Saito, Adam Diaz, Kedir Adem Hussen, Ozioma Okonkwo, Monica Rivera-Mindt, Hannatu Amaza, Mai Seng Thao, Shaniya Parkins, Omobolanle Ayo, Matt Glittenberg, Isabella Hoang, Kaori Kubo Germano, Joe Strong, Trinity Weisensel, Fabiola Magana, Lisa Thomas, Vanessa Guzman, Adeyinka Ajayi, Joseph Di Benedetto, Sandra Talavera, Clifford R. Jack, Jr ,, Joel Felmlee, Nick C. Fox, Paul M. Thompson, Charles S DeCarli, Arvin Arani, Bret Borowski

Bioinformatics

DOI

2025

A Module-Level Polygenic Risk Score-Based NetWAS Framework for Identifying AD Genetic Modules Mediated by Amygdala: An ADNI Study

Haoran Luo, Shaoheng Fan, Hongwei Liu, Wei Li, Zhoujie Fan, Xuancheng Zhu, Chen Zhang, Hong Liang, Shan Cong, Xiaohui Yao

International Journal of Molecular Sciences

DOI

2024

MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification

Shan Cong, Zhiling Sang, Hongwei Liu, Haoran Luo, Xin Wang, Hong Liang, Jie Hao, Xiaohui Yao

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

Trustworthy Enhanced Multi-view Multi-modal Alzheimer’s Disease Prediction with Brain-wide Imaging Transcriptomics Data

Shan Cong, Zhoujie Fan, Hongwei Liu, Yinghan Zhang, Xin Wang, Haoran Luo, Xiaohui Yao

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

GREMI: An Explainable Multi-Omics Integration Framework for Enhanced Disease Prediction and Module Identification

Hong Liang, Haoran Luo, Zhiling Sang, Miao Jia, Xiaohan Jiang, Zheng Wang, Xiaohui Yao, Shan Cong

IEEE Journal of Biomedical and Health Informatics

DOI

2024

DDASR: Domain-Distance Adapted Super-Resolution Reconstruction of MR Brain Images

Shan Cong, Kailong Cui, Yuzun Yang, Yang Zhou, Xinxin Wang, Haoran Luo, Yichi Zhang, Xiaohui Yao

Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics

DOI

2024

Multimodal radiomics-based methods using deep learning for prediction of brain metastasis in non-small cell lung cancer with 18F-FDG PET/CT images

Yuan Zhu, Shan Cong, Qiyang Zhang, Zhenxing Huang, Xiaohui Yao, You Cheng, Dong Liang, Zhanli Hu, Dan Shao

Biomedical Physics & Engineering Express

DOI

2024

Comprehensive review of Transformer‐based models in neuroscience, neurology, and psychiatry

Shan Cong, Hang Wang, Yang Zhou, Zheng Wang, Xiaohui Yao, Chunsheng Yang

Brain‐X

DOI

2024

MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder

Xiaohui Yao, Xiaohan Jiang, Haoran Luo, Hong Liang, Xiufen Ye, Yanhui Wei, Shan Cong

BioData Mining

DOI

2024

Fusion of shallow and deep features from 18F-FDG PET/CT for predicting EGFR-sensitizing mutations in non-small cell lung cancer

Xiaohui Yao, Yuan Zhu, Zhenxing Huang, Yue Wang, Shan Cong, Liwen Wan, Ruodai Wu, Long Chen, Zhanli Hu

Quantitative Imaging in Medicine and Surgery

DOI

2024

TEMINET: A Co-Informative and Trustworthy Multi-Omics Integration Network for Diagnostic Prediction

Haoran Luo, Hong Liang, Hongwei Liu, Zhoujie Fan, Yanhui Wei, Xiaohui Yao, Shan Cong

International Journal of Molecular Sciences

DOI

2023

Brain-wide and cell-specific transcriptomic insights into MRI-derived cortical morphology in macaque monkeys

Tingting Bo, Jie Li, Ganlu Hu, Ge Zhang, Wei Wang, Qian Lv, Shaoling Zhao, Junjie Ma, Meng Hua Qin, Xiaohui Yao, Meiyun Wang, Guang‐Zhong Wang, Zheng Wang

Nature Communications

DOI

2022

Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment

Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Qi Long, Li Shen

BMC Bioinformatics

DOI

2022

Integrative analysis of summary data from GWAS and eQTL studies implicates genes differentially expressed in Alzheimer’s disease

Brian N. Lee, Xiaohui Yao, Li Shen

BMC Genomics

DOI

2022

Identifying genetic markers enriched by brain imaging endophenotypes in Alzheimer’s disease

Mansu Kim, Ruiming Wu, Xiaohui Yao, A. Saykin, Jason H. Moore, Li Shen

BMC Medical Genomics

DOI

2022

Genome-Wide association study of quantitative biomarkers identifies a novel locus for alzheimer’s disease at 12p12.1

Brian N. Lee, Xiaohui Yao, Li Shen

BMC Genomics

DOI

2021

Identifying imaging genetics biomarkers in Alzheimer’s disease via integrating graph convolutional neural network and canonical correlation analysis

Mansu Kim, Xiaohui Yao, A. Saykin, Jason W. Moore, Qi Long, Dokyoon Kim, Li Shen

Alzheimer's & Dementia

DOI

2021

Genetic Influence Underlying Brain Connectivity Phenotype: A Study on Two Age-Specific Cohorts

Shan Cong, Xiaohui Yao, Linhui Xie, Jing-Wen Yan, Li Shen

bioRxiv

DOI

2020

Associating Multi-modal Brain Imaging Phenotypes and Genetic Risk Factors via A Dirty Multi-task Learning Method

L. Du, Fang Liu, Kefei Liu, Xiaohui Yao, S. Risacher, Jun-Wei Han, A. Saykin, Li Shen

IEEE Transactions on Medical Imaging

DOI

2020

Deep Multiview Learning to Identify Population Structure with Multimodal Imaging

Yixue Feng, Mansu Kim, Xiaohui Yao, Kefei Liu, Q. Long, Li Shen

International Conferences on Biological Information and Biomedical Engineering

DOI

2020

Integrative analysis of summary data from GWAS and eQTL studies predicts tissue‐specific gene targets for Alzheimer’s disease

Li Shen, Xiaohui Yao

Alzheimer's & Dementia

DOI

2020

Volumetric GWAS of Medial Temporal Lobe Structures Identifies an ERC1 Locus using ADNI High-resolution T2-weighted MRI Data

Shan Cong, Xiaohui Yao, Zhi-Jian Huang, S. Risacher, K. Nho, A. Saykin, Li Shen

Neurobiology of Aging

DOI

2020

Polygenic mediation analysis of Alzheimer's disease implicated intermediate amyloid imaging phenotypes

Y. Eng, Xiaohui Yao, Kefei Liu, S. Risacher, A. Saykin, Q. Long, Yi-Ze Zhao, Li Shen

American Medical Informatics Association Annual Symposium

2020

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

L. Du, Kefei Liu, Xiaohui Yao, S. Risacher, Jun-Wei Han, A. Saykin, Lei Guo, Li Shen

Medical Image Anal.

DOI

2020

Genome‐wide association study of ADNI QT‐PAD biomarkers identifies a novel locus on Chr 12

Brian N. Lee, Xiaohui Yao, Li Shen

DOI

2020

Cognitive biomarker prioritization in Alzheimer’s Disease using brain morphometric data

Bo Peng, Xiaohui Yao, S. Risacher, A. Saykin, Li Shen, Xia Ning, For The Adni

BMC Medical Informatics and Decision Making

DOI

2020

Identifying diagnosis-specific genotype–phenotype associations via joint multitask sparse canonical correlation analysis and classification

L. Du, Fang Liu, Kefei Liu, Xiaohui Yao, S. Risacher, Jun-Wei Han, Lei Guo, A. Saykin, Li Shen

Bioinform.

DOI

2020

Multivariate genome wide association and network analysis of subcortical imaging phenotypes in Alzheimer’s disease

Xianglian Meng, Jin Li, Qiushi Zhang, Feng Chen, Chenyuan Bian, Xiaohui Yao, Jing-Wen Yan, Zhe Xu, S. Risacher, A. Saykin, Hong Liang, Li Shen

BMC Genomics

DOI

2019

Identifying Imaging Markers for Predicting Cognitive Assessments Using Wasserstein Distances Based Matrix Regression

Jiexi Yan, Cheng Deng, Lei Luo, Xiaoqian Wang, Xiaohui Yao, Li Shen, Heng Huang

Frontiers in Neuroscience

DOI

2019

Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics

L. Du, Kefei Liu, Xiaohui Yao, S. Risacher, Jun-Wei Han, A. Saykin, Lei Guo, Li Shen

IEEE/ACM Transactions on Computational Biology & Bioinformatics

DOI

2019

Targeted genetic analysis of cerebral blood flow imaging phenotypes implicates the INPP5D gene

Xiaohui Yao, S. Risacher, K. Nho, A. Saykin, Ze Wang, Li Shen

Neurobiology of Aging

DOI

2019

Regional imaging genetic enrichment analysis

Xiaohui Yao, Shan Cong, Jing-Wen Yan, S. Risacher, A. Saykin, Jason H. Moore, Li Shen

Bioinform.

DOI

2019

DIAGNOSIS STATUS GUIDED BRAIN IMAGING GENETICS VIA INTEGRATED REGRESSION AND SPARSE CANONICAL CORRELATION ANALYSIS

L. Du, Kefei Liu, Xiaohui Yao, S. Risacher, Lei Guo, A. Saykin, Li Shen

IEEE International Symposium on Biomedical Imaging

DOI

2019

Multi-modal Neuroimaging Feature Selection with Consistent Metric Constraint for Diagnosis of Alzheimer’s Disease

Xiaoke Hao, Yong Bao, Yingchun Guo, Ming Yu, Daoqiang Zhang, S. Risacher, A. Saykin, Xiaohui Yao, Li Shen

Medical Image Anal.

DOI

2019

Identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the ADNI cohort

L. Du, Kefei Liu, Lei Zhu, Xiaohui Yao, S. Risacher, Lei Guo, A. Saykin, Li Shen

Bioinform.

DOI

2019

A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics

L. Du, Fang Liu, Kefei Liu, Xiaohui Yao, S. Risacher, Jun-Wei Han, Lei Guo, A. Saykin, Li Shen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2019

O5‐07‐05: GWAS OF HIPPOCAMPAL SUBFIELD AND NEIGHBORING CORTICAL STRUCTURE VOLUMES IDENTIFIES AN ERC1 LOCUS USING ADNI HIGH‐RESOLUTION MRI DATA

Shan Cong, Xiaohui Yao, S. Risacher, K. Nho, A. Saykin, Li Shen

Alzheimer's & Dementia

DOI

2019

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis

Xiaohui Yao, Shan Cong, Jing-Wen Yan, S. Risacher, A. Saykin, Jason H. Moore, Li Shen

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

DOI

2019

Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank

Bo Peng, Zhi-Yun Ren, Xiaohui Yao, Kefei Liu, A. Saykin, Li Shen, Xia Ning

MBIA/MFCA@MICCAI

DOI

2019

Genome-wide Network-assisted Association and Enrichment Study of Amyloid Imaging Phenotype in Alzheimer’s Disease

Jin Li, F. Chen, Qiushi Zhang, Xianglian Meng, Xiaohui Yao, S. Risacher, Jing-Wen Yan, A. Saykin, Hong Liang, Li Shen

Current Alzheimer Research

DOI

2019

Applications of imaging genomics beyond oncology

Xiaohui Yao, Jing-Wen Yan, Li Shen

Radiomics and Radiogenomics

DOI

2019

Prioritization of Cognitive Assessments in Alzheimer’s Disease via Learning to Rank using Brain Morphometric Data

Bo Peng, Xiaohui Yao, S. Risacher, A. Saykin, Li Shen, Xia Ning

2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

DOI

2018

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

Xiaoke Hao, Xiaohui Yao, S. Risacher, A. Saykin, Jin-Tai Yu, Hui-Fu Wang, L. Tan, Li Shen, Daoqiang Zhang

IEEE/ACM Transactions on Computational Biology & Bioinformatics

DOI

2018

Fast Multi-Task SCCA Learning with Feature Selection for Multi-Modal Brain Imaging Genetics

L. Du, Kefei Liu, Xiaohui Yao, S. Risacher, Jun-Wei Han, Lei Guo, A. Saykin, Li Shen

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2018

Longitudinal Genotype–Phenotype Association Study through Temporal Structure Auto-Learning Predictive Model

Xiaoqian Wang, Jing-Wen Yan, Xiaohui Yao, Sungeun Kim, K. Nho, S. Risacher, A. Saykin, Li Shen, Heng Huang

J. Comput. Biol.

DOI

2018

IC‐P‐075: GENETIC FINDINGS USING ADNI MULTIMODAL QUANTITATIVE PHENOTYPES: A 2017 UPDATE

Xiaohui Yao, Jing-Wen Yan, A. Saykin, Li Shen

DOI

2018

Mining high-level brain imaging genetic associations

Xiaohui Yao

DOI

2018

A Network-Based Framework for Mining High-Level Imaging Genetic Associations

Hong Liang, Xianglian Meng, Feng Chen, Qiushi Zhang, Jing-Wen Yan, Xiaohui Yao, Sungeun Kim, Lei Wang, Weixing Feng, A. Saykin, Jin Li, Li Shen, Alzheimer's Disease Neuroimaging Initiative

DOI

2018

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

Lyujian Lu, Hua Wang, Xiaohui Yao, S. Risacher, A. Saykin, Li Shen

IEEE International Symposium on Biomedical Imaging

DOI

2018

P2‐235: GENETIC FINDINGS USING ADNI MULTIMODAL QUANTITATIVE PHENOTYPES: A 2018 UPDATE

Xiaohui Yao, Jing-Wen Yan, A. Saykin, Li Shen

DOI

2018

GPU Accelerated Browser for Neuroimaging Genomics

Bob Zigon, Huang Li, Xiaohui Yao, S. Fang, M. Al Hasan, Jing-Wen Yan, Jason H. Moore, A. Saykin, Li Shen, Alzheimer's Disease Neuroimaging Initiative

Neuroinformatics

DOI

2017

Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm

Kefei Liu, Xiaohui Yao, Jing-Wen Yan, D. Chasioti, S. Risacher, K. Nho, A. Saykin, Li Shen

GRAIL/MFCA/MICGen@MICCAI

DOI

2017

Identifying Associations Between Brain Imaging Phenotypes and Genetic Factors via A Novel Structured SCCA Approach

L. Du, Tuo Zhang, Kefei Liu, Jing-Wen Yan, Xiaohui Yao, S. Risacher, A. Saykin, Jun-Wei Han, Lei Guo, Li Shen

Information Processing in Medical Imaging

DOI

2017

NETWORK-BASED GENOME WIDE STUDY OF HIPPOCAMPAL IMAGING PHENOTYPE IN ALZHEIMER’S DISEASE TO IDENTIFY FUNCTIONAL INTERACTION MODULES

Xiaohui Yao, Jing-Wen Yan, S. Risacher, Jason H. Moore, A. Saykin, Li Shen

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2017

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

Xiaoke Hao, Chan-Xiu Li, Jing-Wen Yan, Xiaohui Yao, S. Risacher, A. Saykin, Li Shen, Daoqiang Zhang

Bioinform.

DOI

2017

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

W. Cong, Xianglian Meng, Jin Li, Qiushi Zhang, F. Chen, Wenjie Liu, Ying Wang, Sipu Cheng, Xiaohui Yao, Jing-Wen Yan, Sungeun Kim, A. Saykin, Hong Liang, Li Shen, For the Alzheimer’s Disease Neuroimaging Initiative

BMC Genomics

DOI

2017

Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty

L. Du, Kefei Liu, Xiaohui Yao, Jing-Wen Yan, S. Risacher, Jun-Wei Han, Lei Guo, A. Saykin, Li Shen, Alzheimer's Disease Neuroimaging Initiative

Scientific Reports

DOI

2017

A novel SCCA approach via truncated ℓ1-norm and truncated group lasso for brain imaging genetics

L. Du, Kefei Liu, Tuo Zhang, Xiaohui Yao, Jing-Wen Yan, S. Risacher, Jun-Wei Han, Lei Guo, A. Saykin, Li Shen

Bioinform.

DOI

2017

A Fast SCCA Algorithm for Big Data Analysis in Brain Imaging Genetics

Yuming Huang, L. Du, Kefei Liu, Xiaohui Yao, S. Risacher, Lei Guo, A. Saykin, Li Shen

GRAIL/MFCA/MICGen@MICCAI

DOI

2017

Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-Learning Predictive Model

Xiaoqian Wang, Jing-Wen Yan, Xiaohui Yao, Sungeun Kim, K. Nho, S. Risacher, A. Saykin, Li Shen, Heng Huang

Annual International Conference on Research in Computational Molecular Biology

DOI

2017

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease

Xiaoke Hao, Chan-Xiu Li, L. Du, Xiaohui Yao, Jing-Wen Yan, S. Risacher, A. Saykin, Li Shen, Daoqiang Zhang

Scientific Reports

DOI

2017

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

Xiaohui Yao, Jing-Wen Yan, Kefei Liu, Sungeun Kim, K. Nho, S. Risacher, C. Greene, Jason H. Moore, A. Saykin, Li Shen

Bioinform.

DOI

2017

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

Xiaohui Yao, Jing-Wen Yan, Michael Ginda, K. Börner, A. Saykin, Li Shen

PLoS ONE

DOI

2017

[P2–220]: GENETIC FINDINGS USING ADNI MULTIMODAL QUANTITATIVE PHENOTYPES: A 2016 UPDATE

Xiaohui Yao, Jing-Wen Yan, K. Nho, S. Risacher, K. Börner, A. Saykin, Li Shen

DOI

2016

Sparse Canonical Correlation Analysis via Truncated ℓ1-norm with Application to Brain Imaging Genetics

L. Du, Tuo Zhang, Kefei Liu, Xiaohui Yao, Jing-Wen Yan, S. Risacher, Lei Guo, A. Saykin, Li Shen

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2016

Identifying Multimodal Intermediate Phenotypes between Genetic Risk Factors and Disease Status in Alzheimer’s Disease

Xiaoke Hao, Xiaohui Yao, Jing-Wen Yan, S. Risacher, A. Saykin, Daoqiang Zhang, Li Shen

Neuroinformatics

DOI

2016

Diagnosis-Guided Method For Identifying Multi-Modality Neuroimaging Biomarkers Associated With Genetic Risk Factors In Alzheimer's Disease

Xiaoke Hao, Jing-Wen Yan, Xiaohui Yao, S. Risacher, A. Saykin, Daoqiang Zhang, Li Shen

Pacific Symposium on Biocomputing

DOI

2016

Machine learning in brain imaging genomics

J. Yan, L. Du, Xiaohui Yao, Li Shen

DOI

2015

Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic Associations

Xiaohui Yao, Jing-Wen Yan, Sungeun Kim, K. Nho, S. Risacher, M. Inlow, Jason H. Moore, A. Saykin, Li Shen

Brain Informatics and Health

DOI

2015

Genetic Studies of Quantitative MCI and AD Phenotypes in ADNI: Progress, Opportunities, and Plans

A. Saykin, Li Shen, Xiaohui Yao, Sungeun Kim, K. Nho, S. Risacher, V. Ramanan, T. Foroud, K. Faber, N. Sarwar, L. Munsie, Xiaolan Hu, H. Soares, S. Potkin, P. Thompson, J. Kauwe, R. Kaddurah-Daouk, R. Green, A. Toga, M. Weiner

Alzheimer's & Dementia

DOI

2015

P1‐009: The nav2 (neuron navigator 2) gene as a common genetic influence across correlated episodic memory performances

Jing-Wen Yan, Sungeun Kim, K. Nho, Xiaohui Yao, S. Risacher, Jason H. Moore, A. Saykin, Li Shen

DOI

2015

P1‐201: Genetic findings using ADNI multimodal quantitative phenotypes: A 2014 update

Xiaohui Yao, Jing-Wen Yan, Sungeun Kim, K. Nho, S. Risacher, K. Börner, T. Foroud, P. Thompson, S. Potkin, N. Sarwar, L. Munsie, H. Soares, R. Green, A. Toga, M. Weiner, A. Saykin, Li Shen

DOI

2014

P1‐141: GENETIC FINDINGS USING ADNI MULTIMODAL QUANTITATIVE PHENOTYPES: A REVIEW OF PAPERS PUBLISHED IN 2013

Xiaohui Yao, Rui Chen, Sungeun Kim, Jing-Wen Yan, L. Du, K. Nho, T. Foroud, Jason H. Moore, M. Weiner, A. Saykin, Li Shen, Adni

DOI

2014

IC‐P‐177: GENETIC FINDINGS USING ADNI MULTIMODAL QUANTITATIVE PHENOTYPES: A REVIEW OF PAPERS PUBLISHED IN 2013

Xiaohui Yao, Rui Chen, Sungeun Kim, Jing-Wen Yan, L. Du, K. Nho, T. Foroud, Jason H. Moore, M. Weiner, A. Saykin, Li Shen, Adni

DOI

预印本

2023

Integration of tissue-specific multi-omics data implicates brain targets for complex neuropsychiatric traits

Shan Cong, Zhiling Sang, Luolong Cao, Jun-Bo Yuan, Yanhong Li, Hong Liang, Xiaohui Yao

medRxiv

DOI

研究方向

数据挖掘与机器学习多模态数据融合脑影像组学与多组学分析智能诊疗

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