| Quo vadis artificial intelligence? Y Jiang, X Li, H Luo, S Yin, O Kaynak Discover Artificial Intelligence 2 (1), 4, 2022 | 289 | 2022 |
| Lightweight attention convolutional neural network for retinal vessel image segmentation X Li, Y Jiang, M Li, S Yin IEEE Transactions on Industrial Informatics 17 (3), 1958-1967, 2020 | 226 | 2020 |
| Prediction of remaining useful life based on bidirectional gated recurrent unit with temporal self-attention mechanism J Zhang, Y Jiang, S Wu, X Li, H Luo, S Yin Reliability Engineering & System Safety 221, 108297, 2022 | 192 | 2022 |
| An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty J Zhang, Y Jiang, X Li, M Huo, H Luo, S Yin Reliability Engineering & System Safety 222, 108357, 2022 | 97 | 2022 |
| Remaining useful life prediction of lithium-ion battery with adaptive noise estimation and capacity regeneration detection J Zhang, Y Jiang, X Li, H Luo, S Yin, O Kaynak IEEE/ASME Transactions on Mechatronics 28 (2), 632-643, 2022 | 96 | 2022 |
| Deep learning attention mechanism in medical image analysis: Basics and beyonds X Li, M Li, P Yan, G Li, Y Jiang, H Luo, S Yin International Journal of Network Dynamics and Intelligence, 93-116, 2023 | 76 | 2023 |
| A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition J Zhang, X Li, J Tian, Y Jiang, H Luo, S Yin Reliability Engineering & System Safety 231, 108986, 2023 | 74 | 2023 |
| An integrated multi-head dual sparse self-attention network for remaining useful life prediction J Zhang, X Li, J Tian, H Luo, S Yin Reliability Engineering & System Safety 233, 109096, 2023 | 71 | 2023 |
| A Data-model Interactive Remaining Useful Life Prediction Approach of Lithium-ion Batteries Based on PF-BiGRU-TSAM J Zhang, C Huang, MY Chow, X Li, J Tian, H Luo, S Yin IEEE Transactions on Industrial Informatics, 2023 | 65 | 2023 |
| Lesion-attention pyramid network for diabetic retinopathy grading X Li, Y Jiang, J Zhang, M Li, H Luo, S Yin Artificial Intelligence in Medicine 126, 102259, 2022 | 52 | 2022 |
| When medical images meet generative adversarial network: recent development and research opportunities X Li, Y Jiang, JJ Rodriguez-Andina, H Luo, S Yin, O Kaynak Discover Artificial Intelligence 1, 1-20, 2021 | 52 | 2021 |
| RAGCN: Region aggregation graph convolutional network for bone age assessment from X-ray images X Li, Y Jiang, Y Liu, J Zhang, S Yin, H Luo IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022 | 36 | 2022 |
| Explainable multi-instance and multi-task learning for COVID-19 diagnosis and lesion segmentation in CT images M Li, X Li, Y Jiang, J Zhang, H Luo, S Yin Knowledge-Based Systems 252, 109278, 2022 | 30 | 2022 |
| SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization X Li, S Lv, M Li, J Zhang, Y Jiang, Y Qin, H Luo, S Yin IEEE Transactions on Medical Imaging, 2023 | 26 | 2023 |
| Playing against deep-neural-network-based object detectors: A novel bidirectional adversarial attack approach X Li, Y Jiang, C Liu, S Liu, H Luo, S Yin IEEE Transactions on Artificial Intelligence 3 (1), 20-28, 2021 | 24 | 2021 |
| An aerial image segmentation approach based on enhanced multi-scale convolutional neural network X Li, Y Jiang, H Peng, S Yin 2019 IEEE international conference on industrial cyber physical systems …, 2019 | 18 | 2019 |
| Integrated learning approach based on fused segmentation information for skeletal fluorosis diagnosis and severity grading S Liu, X Li, Y Jiang, H Luo, Y Gao, S Yin IEEE Transactions on Industrial Informatics 17 (11), 7554-7563, 2021 | 15 | 2021 |
| MSFR‐Net: Multi‐modality and single‐modality feature recalibration network for brain tumor segmentation X Li, Y Jiang, M Li, J Zhang, S Yin, H Luo Medical Physics 50 (4), 2249-2262, 2023 | 12 | 2023 |
| Ensemble of convolutional neural networks and multilayer perceptron for the diagnosis of mild cognitive impairment and Alzheimer's disease M Li, Y Jiang, X Li, S Yin, H Luo Medical Physics 50 (1), 209-225, 2023 | 6 | 2023 |
| Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules C Liang, X Li, Y Qin, M Li, Y Ma, R Wang, X Xu, J Yu, S Lv, H Luo BMC Medical Imaging 23 (1), 120, 2023 | 5 | 2023 |
