Heterogeneous data fusion for alzheimer's disease study. - Jieping Ye; Kewei Chen 001; Teresa Wu; Jing Li 016; Zheng Zhao 002; Rinkal Patel; Min Bae; Ravi Janardan; Huan Liu 001; Gene E. Alexander; Eric Reiman (KDD, 2008)

Modeling and analysis of disease and risk factors through learning Bayesian networks from observational data. - Jing Li 016; Jianjun Shi 001; Devin Satz (Qual. Reliab. Eng. Int., 2008)

Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. - Liang Sun 001; Rinkal Patel; Jun Liu 003; Kewei Chen 001; Teresa Wu; Jing Li 016; Eric Reiman; Jieping Ye (KDD, 2009)

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data. - Shuai Huang 001; Jing Li 016; Liang Sun 001; Jun Liu 003; Teresa Wu; Kewei Chen 001; Adam Fleisher; Eric Reiman; Jieping Ye (NIPS, 2009)

Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation. - Shuai Huang 001; Jing Li 016; Liang Sun 001; Jieping Ye; Adam Fleisher; Teresa Wu; Kewei Chen 001; Eric Reiman (NeuroImage, 2010)

A Graphical Technique and Penalized Likelihood Method for Identifying and Estimating Infant Failures. - Shuai Huang 001; Rong Pan; Jing Li 016 (IEEE Trans. Reliab., 2010)

Bayesian reliability modeling of multi-level system with interdependent subsystems and components. - Jian Liu 010; Jing Li 016; Byoung Uk Kim (ISI, 2011)

Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. - Shuai Huang 001; Jing Li 016; Jieping Ye; Adam Fleisher; Kewei Chen 001; Teresa Wu; Eric Reiman (KDD, 2011)

Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis. - Shuai Huang 001; Jing Li 016; Jieping Ye; Teresa Wu; Kewei Chen 001; Adam Fleisher; Eric Reiman (NIPS, 2011)

Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease. - Jieping Ye; Teresa Wu; Jing Li 016; Kewei Chen 001 (Computer, 2011)

A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data. - Shuai Huang 001; Jing Li 016; Jieping Ye; Adam Fleisher; Kewei Chen 001; Teresa Wu; Eric Reiman (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Healthcare Intelligence: Turning Data into Knowledge. - Hui Yang 003; O. Erhun Kundakcioglu; Jing Li 016; Teresa Wu; Joseph Ross Mitchell; Amy K. Hara; William Pavlicek; Leland S. Hu; Alvin C. Silva; Christine M. Zwart; Sait Tunç; Oguzhan Alagöz; et al. (IEEE Intell. Syst., 2014)

Pilot Study: Evaluation of Dual-Energy Computed Tomography Measurement Strategies for Positron Emission Tomography Correlation in Pancreatic Adenocarcinoma. - Jorge Oldan; Miao He 001; Teresa Wu; Alvin C. Silva; Jing Li 016; Joseph Ross Mitchell; William Pavlicek; Michael C. Roarke; Amy K. Hara (J. Digit. Imaging, 2014)

Bayesian modeling of multi-state hierarchical systems with multi-level information aggregation. - Mingyang Li 002; Jian Liu 010; Jing Li 016; Byoung Uk Kim (Reliab. Eng. Syst. Saf., 2014)

Improved reliability-based decision support methodology applicable in system-level failure diagnosis and prognosis. - Byoung Uk Kim; Douglas Goodman; Mingyang Li 002; Jian Liu 010; Jing Li 016 (IEEE Trans. Aerosp. Electron. Syst., 2014)

A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems. - Na Zou 001; Yun Zhu; Ji Zhu; Mustafa Gökçe Baydogan; Wei Wang 051; Jing Li 016 (Technometrics, 2015)

Diagnosis on Mild Cognitive Impairment Patients for Alzheimer Disease with Missing Data. - Fei Gao 015; Jing Li 016; Teresa Wu; Kewei Chen 001; Fleming Lure; David Weidman (ICHI, 2017)

ADMultiImg: a novel missing modality transfer learning based CAD system for diagnosis of MCI due to AD using incomplete multi-modality imaging data. - Xiaonan Liu; Kewei Chen 001; Teresa Wu; David Weidman; Fleming Lure; Jing Li 016 (Computer-Aided Diagnosis, 2018)

SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis. - Fei Gao 015; Teresa Wu; Jing Li 016; Bin Zheng 001; Lingxiang Ruan; Desheng Shang; Bhavika Patel (Comput. Medical Imaging Graph., 2018)

A Data Adaptive Biological Sequence Representation for Supervised Learning. - Hande Cakin; Berk Görgülü; Mustafa Gökçe Baydogan; Na Zou 001; Jing Li 016 (J. Heal. Informatics Res., 2018)

A Novel Positive Transfer Learning Approach for Telemonitoring of Parkinson's Disease. - Hyunsoo Yoon; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2019)

Combining Anatomical Constraints and Deep learning for 3-D CBCT Dental Image Multi-label Segmentation. - Jiayu Huang; Hao Yan; Jing Li 016; H. Milton Stewart; Frank C. Setzer (ICDE, 2021)

A novel transfer learning model for predictive analytics using incomplete multimodality data. - Xiaonan Liu; Kewei Chen 001; David Weidman; Teresa Wu; Fleming Lure; Jing Li 016 (IISE Trans., 2021)

Anatomically Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection. - Zhiyang Zheng; Hao Yan; Frank C. Setzer; Katherine J. Shi; Mel Mupparapu; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2021)

Early prediction of the Alzheimer's disease risk using Tau-PET and machine learning. - Lujia Wang 002; Zhiyang Zheng; Yi Su 004; Kewei Chen 001; David Weidman; Teresa Wu; Ben Lo; Fleming Lure; Jing Li 016 (Computer-Aided Diagnosis, 2022)

Addressing imaging accessibility by cross-modality transfer learning. - Zhiyang Zheng; Yi Su 004; Kewei Chen 001; David Weidman; Teresa Wu; Ben Lo; Fleming Lure; Jing Li 016 (Computer-Aided Diagnosis, 2022)

Knowledge-Infused Global-Local Data Fusion for Spatial Predictive Modeling in Precision Medicine. - Lujia Wang 002; Andrea Hawkins-Daarud; Kristin R. Swanson; Leland S. Hu; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2022)

Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm. - Lujia Wang 002; Hairong Wang; Fulvio D'Angelo; Lee Curtin; Christopher P. Sereduk; Gustavo De Leon; Kyle W. Singleton; Javier Urcuyo; Andrea Hawkins-Daarud; Pamela R. Jackson; Chandan Krishna; Richard S. Zimmerman; et al. (CoRR, 2024)

Supervised Multi-Modal Fission Learning. - Lingchao Mao; Qi Wang; Yi Su 004; Fleming Lure; Jing Li 016 (CoRR, 2024)

Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma. - Hairong Wang; Michael G. Argenziano; Hyunsoo Yoon; Deborah Boyett; Akshay Save; Petros Petridis; William Savage; Pamela R. Jackson; Andrea Hawkins-Daarud; Nhan L. Tran; Leland S. Hu; Kyle W. Singleton; et al. (npj Digit. Medicine, 2024)

A Novel Semi-Supervised Learning Model for Smartphone-Based Health Telemonitoring. - Nathan Gaw; Jing Li 016; Hyunsoo Yoon (IEEE Trans Autom. Sci. Eng., 2024)

PLURAL: 3D Point Cloud Transfer Learning via Contrastive Learning With Augmentations. - Michael Biehler; Yiqi Sun; Shriyanshu Kode; Jing Li 016; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2024)

Weakly-Supervised Transfer Learning With Application in Precision Medicine. - Lingchao Mao; Lujia Wang 002; Leland S. Hu; Jenny M. Eschbacher; Gustavo De Leon; Kyle W. Singleton; Lee Curtin; Javier Urcuyo; Christopher P. Sereduk; Nhan L. Tran; Andrea Hawkins-Daarud; Kristin R. Swanson; et al. (IEEE Trans Autom. Sci. Eng., 2024)

Physics-Informed Weakly-Supervised Learning for Quality Prediction of Manufacturing Processes. - Dhari F. Alenezi; Michael Biehler; Jianjun Shi 001; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)

Graph-Based Variation Propagation Network for Modeling and Prediction of Hybrid Multi-Stage Manufacturing Systems. - Dhari F. Alenezi; Jianjun Shi 001; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)

A Cross-Modal Mutual Knowledge Distillation Framework for Alzheimer's Disease Diagnosis: Addressing Incomplete Modalities. - Mingu Kwak; Lingchao Mao; Zhiyang Zheng; Yi Su 004; Fleming Lure; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)

Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion Detection. - Yeonju Lee; Mingu Kwak; Rui Qi Chen; Hao Yan; Muralidhar Mupparapu; Fleming Lure; Frank C. Setzer; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)

Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review. - Lingchao Mao; Hairong Wang; Leland S. Hu; Nhan L. Tran; Peter D. Canoll; Kristin R. Swanson; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)

A Novel Hybrid Ordinal Learning Model With Health Care Application. - Lujia Wang 002; Hairong Wang; Yi Su 004; Fleming Lure; Jing Li 016 (IEEE Trans Autom. Sci. Eng., 2025)