| Multifractal analysis of image profiles for the characterization and detection of defects in additive manufacturing B Yao, F Imani, AS Sakpal, EW Reutzel, H Yang Journal of Manufacturing Science and Engineering 140 (3), 031014, 2018 | 127 | 2018 |
| Markov decision process for image-guided additive manufacturing B Yao, F Imani, H Yang IEEE Robotics and Automation Letters 3 (4), 2792-2798, 2018 | 68 | 2018 |
| Physics-driven spatiotemporal regularization for high-dimensional predictive modeling: A novel approach to solve the inverse ECG problem B Yao, H Yang Scientific reports 6 (1), 39012, 2016 | 35 | 2016 |
| Joint multifractal and lacunarity analysis of image profiles for manufacturing quality control F Imani, B Yao, R Chen, P Rao, H Yang Journal of Manufacturing Science and Engineering 141 (4), 044501, 2019 | 32 | 2019 |
| Physics-constrained deep active learning for spatiotemporal modeling of cardiac electrodynamics J Xie, B Yao Computers in Biology and Medicine 146, 105586, 2022 | 30 | 2022 |
| Characterizing the location and extent of myocardial infarctions with inverse ECG modeling and spatiotemporal regularization B Yao, R Zhu, H Yang IEEE journal of biomedical and health informatics 22 (5), 1445-1455, 2017 | 29 | 2017 |
| Multi-branching temporal convolutional network for sepsis prediction Z Wang, B Yao IEEE journal of biomedical and health informatics 26 (2), 876-887, 2021 | 26 | 2021 |
| Constrained Markov decision process modeling for sequential optimization of additive manufacturing build quality B Yao, H Yang IEEE Access 6, 54786-54794, 2018 | 25 | 2018 |
| Fractal pattern recognition of image profiles for manufacturing process monitoring and control F Imani, B Yao, R Chen, P Rao, H Yang International Manufacturing Science and Engineering Conference 51371 …, 2018 | 25 | 2018 |
| Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals Z Wang, S Stavrakis, B Yao Computers in Biology and Medicine 155, 106641, 2023 | 23 | 2023 |
| Physics-constrained deep learning for robust inverse ecg modeling J Xie, B Yao IEEE Transactions on Automation Science and Engineering 20 (1), 151-166, 2022 | 15 | 2022 |
| Robust optimization of dynamic route planning in same‐day delivery networks with one‐time observation of new demand B Yao, C McLean, H Yang Networks 73 (4), 434-452, 2019 | 15 | 2019 |
| Spatiotemporal regularization for inverse ECG modeling B Yao, H Yang IISE Transactions on Healthcare Systems Engineering 11 (1), 11-23, 2020 | 13 | 2020 |
| Constrained Markov decision process modeling for optimal sensing of cardiac events in mobile health B Yao, Y Chen, H Yang IEEE Transactions on Automation Science and Engineering 19 (2), 1017-1029, 2021 | 12 | 2021 |
| Mesh resolution impacts the accuracy of inverse and forward ECG problems B Yao, S Pei, H Yang 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 12 | 2016 |
| Quantum computation on gate-defined semiconductor quantum dots HO Li, B Yao, T Tu, GP Guo Chinese Science Bulletin 57, 1919-1924, 2012 | 10 | 2012 |
| Spatiotemporal modeling and optimization for personalized cardiac simulation B Yao IISE Transactions on Healthcare Systems Engineering 11 (2), 145-160, 2021 | 8 | 2021 |
| Prediction of diabetic retinopathy using longitudinal electronic health records S Chen, Z Wang, B Yao, T Liu 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 6 | 2022 |
| Optimal sensor placement for space–time potential mapping and data fusion R Zhu, B Yao, H Yang, F Leonelli IEEE sensors letters 3 (1), 1-4, 2018 | 6 | 2018 |
| Inverse ECG modeling with spatiotemporal regularization for the characterization of myocardial infarctions B Yao, R Zhu, H Yang 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 5 | 2018 |
Farhad ImaniUniversity of ConnecticutVerified email at uconn.edu
