| A proximal augmented Lagrangian method for linearly constrained nonconvex composite optimization problems JG Melo, RDC Monteiro, H Wang Journal of Optimization Theory and Applications 202 (1), 388-420, 2024 | 27* | 2024 |
| 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, G De Leon, ... Plos one 19 (4), 2024 | 4 | 2024 |
| Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review L Mao, H Wang, LS Hu, NL Tran, PD Canoll, KR Swanson, J Li IEEE Transactions on Automation Science and Engineering, 2024 | 2 | 2024 |
| Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma H Wang, MG Argenziano, H Yoon, D Boyett, A Save, P Petridis, W Savage, ... npj Digital Medicine 7 (1), 292, 2024 | 2 | 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 | 1 | 2024 |
| A Holistic Weakly Supervised Approach for Liver Tumor Segmentation with Clinical Knowledge-Informed Label Smoothing H Wang, L Mao, Z Zhang, J Li arXiv preprint arXiv:2410.10005, 2024 | | 2024 |
