Jing Li
Jing Li
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology
Verified email at - Homepage
Cited by
Cited by
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation
S Huang, J Li, L Sun, J Ye, A Fleisher, T Wu, K Chen, E Reiman, ...
NeuroImage 50 (3), 935-949, 2010
A survey on statistical methods for health care fraud detection
J Li, KY Huang, J Jin, J Shi
Health care management science 11, 275-287, 2008
Radiogenomics to characterize regional genetic heterogeneity in glioblastoma
LS Hu, S Ning, JM Eschbacher, LC Baxter, N Gaw, S Ranjbar, J Plasencia, ...
Neuro-oncology 19 (1), 128-137, 2017
SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis
F Gao, T Wu, J Li, B Zheng, L Ruan, D Shang, B Patel
Computerized Medical Imaging and Graphics 70, 53-62, 2018
Artificial intelligence for the computer-aided detection of periapical lesions in cone-beam computed tomographic images
FC Setzer, KJ Shi, Z Zhang, H Yan, H Yoon, M Mupparapu, J Li
Journal of endodontics 46 (7), 987-993, 2020
Heterogeneous data fusion for Alzheimer's disease study
J Ye, K Chen, T Wu, J Li, Z Zhao, R Patel, M Bae, R Janardan, H Liu, ...
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease
X Liu, K Chen, T Wu, D Weidman, F Lure, J Li
Translational Research 194, 56-67, 2018
Multi-parametric MRI and texture analysis to visualize spatial histologic heterogeneity and tumor extent in glioblastoma
LS Hu, S Ning, JM Eschbacher, N Gaw, AC Dueck, KA Smith, P Nakaji, ...
PloS one 10 (11), e0141506, 2015
Accurate classification of chronic migraine via brain magnetic resonance imaging
TJ Schwedt, CD Chong, T Wu, N Gaw, Y Fu, J Li
Headache: The Journal of Head and Face Pain 55 (6), 762-777, 2015
Knowledge discovery from observational data for process control using causal Bayesian networks
J Li, J Shi
IIE transactions 39 (6), 681-690, 2007
Migraine classification using magnetic resonance imaging resting-state functional connectivity data
CD Chong, N Gaw, Y Fu, J Li, T Wu, TJ Schwedt
Cephalalgia 37 (9), 828-844, 2017
Causation-Based T2 Decomposition for Multivariate Process Monitoring and Diagnosis
J Li, J Jin, J Shi
Journal of Quality Technology 40 (1), 46-58, 2008
Imaging of intratumoral heterogeneity in high-grade glioma
LS Hu, A Hawkins-Daarud, L Wang, J Li, KR Swanson
Cancer letters 477, 97-106, 2020
Learning brain connectivity of Alzheimer's disease from neuroimaging data
S Huang, J Li, L Sun, J Liu, T Wu, K Chen, A Fleisher, E Reiman, J Ye
Advances in Neural Information Processing Systems 22, 2009
Survey of recent advances on the interface between production system design and quality
RR Inman, DE Blumenfeld, N Huang, J Li, J Li
IIE transactions 45 (6), 557-574, 2013
Classification of breast masses using a computer-aided diagnosis scheme of contrast enhanced digital mammograms
G Danala, B Patel, F Aghaei, M Heidari, J Li, T Wu, B Zheng
Annals of biomedical engineering 46, 1419-1431, 2018
A sparse structure learning algorithm for Gaussian Bayesian network identification from high-dimensional data
S Huang, J Li, J Ye, A Fleisher, K Chen, T Wu, E Reiman, ...
IEEE transactions on pattern analysis and machine intelligence 35 (6), 1328-1342, 2012
Bayesian modeling of multi-state hierarchical systems with multi-level information aggregation
M Li, J Liu, J Li, BU Kim
Reliability Engineering & System Safety 124, 158-164, 2014
Anatomically constrained deep learning for automating dental CBCT segmentation and lesion detection
Z Zheng, H Yan, FC Setzer, KJ Shi, M Mupparapu, J Li
IEEE Transactions on Automation Science and Engineering 18 (2), 603-614, 2020
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI
N Gaw, A Hawkins-Daarud, LS Hu, H Yoon, L Wang, Y Xu, PR Jackson, ...
Scientific reports 9 (1), 10063, 2019
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