Lujia Wang
Cited by
Cited by
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
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
Software reliability growth modeling and analysis with dual fault detection and correction processes
L Wang, Q Hu, J Liu
IIE transactions 48 (4), 359-370, 2016
A general modeling and analysis framework for software fault detection and correction process
Y Liu, D Li, L Wang, Q Hu
Software Testing, Verification and Reliability 26 (5), 351-365, 2016
Accurate patient-specific machine learning models of glioblastoma invasion using transfer learning
LS Hu, H Yoon, JM Eschbacher, LC Baxter, AC Dueck, A Nespodzany, ...
American Journal of Neuroradiology 40 (3), 418-425, 2019
Sub-classifying patients with mild traumatic brain injury: a clustering approach based on baseline clinical characteristics and 90-day and 180-day outcomes
B Si, G Dumkrieger, T Wu, R Zafonte, AB Valadka, DO Okonkwo, ...
PloS one 13 (7), e0198741, 2018
Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma
LS Hu, L Wang, A Hawkins-Daarud, JM Eschbacher, KW Singleton, ...
Scientific reports 11 (1), 3932, 2021
A dual-mode deep transfer learning (D2TL) system for breast cancer detection using contrast enhanced digital mammograms
K Wang, BK Patel, L Wang, T Wu, B Zheng, J Li
IISE Transactions on Healthcare Systems Engineering 9 (4), 357-370, 2019
Homotopic region connectivity during concussion recovery: a longitudinal fMRI study
CD Chong, L Wang, K Wang, S Traub, J Li
PloS one 14 (10), e0221892, 2019
Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures
LS Hu, F D’Angelo, TM Weiskittel, FP Caruso, SP Fortin Ensign, ...
Nature communications 14 (1), 6066, 2023
Knowledge-infused global-local data fusion for spatial predictive modeling in precision medicine
L Wang, A Hawkins-Daarud, KR Swanson, LS Hu, J Li
IEEE Transactions on Automation Science and Engineering 19 (3), 2203-2215, 2021
Statistical inference for Mt/G/Infinity queueing systems under incomplete observations
D Li, Q Hu, L Wang, D Yu
European Journal of Operational Research 279 (3), 882-901, 2019
Bayesian analysis for NHPP-based software fault detection and correction processes
LJ Wang, QP Hu, M Xie
2015 IEEE International Conference on Industrial Engineering and Engineering …, 2015
Quantitative imaging system for cancer diagnosis and treatment planning: An interdisciplinary approach
T Wu, N Gaw, Y Xu, J Li, L Wang, Y Fu, A Silva, C Zwart, M Borad, ...
Leading Developments from INFORMS Communities, 153-177, 2017
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm
L Wang, H Wang, F D’Angelo, L Curtin, CP Sereduk, GD Leon, ...
PloS one 19 (4), e0299267, 2024
Discriminant subgraph learning from functional brain sensory data
L Wang, TJ Schwedt, CD Chong, T Wu, J Li
IISE transactions 54 (11), 1084-1097, 2022
Reliability analysis of open source software: A Bayesian approach considering both fault detection and correction processes
Y Liu, M Xie, L Wang, Q Hu
26th European Safety and Reliability Conference, ESREL 2016, 2016
Early prediction of progression to Alzheimer’s disease using multi-modality neuroimages by a novel ordinal learning model ADPacer
L Wang, Z Zheng, Y Su, K Chen, D Weidman, T Wu, SC Lo, F Lure, J Li, ...
IISE Transactions on Healthcare Systems Engineering 14 (2), 167-177, 2024
A Novel Hybrid Ordinal Learning Model With Health Care Application
L Wang, H Wang, Y Su, F Lure, J Li
IEEE Transactions on Automation Science and Engineering, 2024
Predicting the pace of MCI progression to AD based on multi‐modality neuroimaging data by a novel hybrid ordinal learning algorithm
L Wang, Y Su, Z Zheng, K Chen, D Weidman, T Wu, SC Lo, F Lure, J Li
Alzheimer's & Dementia 18, e069229, 2022
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