| 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 | 91 | 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 | 82 | 2019 |
| 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 | 37 | 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 | 36 | 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 | 36 | 2016 |
| 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 | 35 | 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 | 22 | 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 | 18 | 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 | 13 | 2019 |
| 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 | 10 | 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 | 8 | 2019 |
| 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 | 6 | 2017 |
| 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 | 6 | 2015 |
| 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 | 4 | 2023 |
| 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 | 1 | 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 | 1 | 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 | 1 | 2016 |
| 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 | | 2024 |
| 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, 1-11, 2023 | | 2023 |
| 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 | | 2022 |
