| Deep colorization Z Cheng, Q Yang, B Sheng Proceedings of the IEEE international conference on computer vision, 415-423, 2015 | 798 | 2015 |
| A deep learning system for detecting diabetic retinopathy across the disease spectrum L Dai, L Wu, H Li, C Cai, Q Wu, H Kong, R Liu, X Wang, X Hou, Y Liu, ... Nature communications 12 (1), 3242, 2021 | 439 | 2021 |
| Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020 | 312 | 2020 |
| EAPT: efficient attention pyramid transformer for image processing X Lin, S Sun, W Huang, B Sheng, P Li, DD Feng IEEE Transactions on Multimedia 25, 50-61, 2021 | 293 | 2021 |
| Computer-assisted decision support system in pulmonary cancer detection and stage classification on CT images A Masood, B Sheng, P Li, X Hou, X Wei, J Qin, D Feng Journal of biomedical informatics 79, 117-128, 2018 | 285 | 2018 |
| Deep convolutional neural networks for human action recognition using depth maps and postures A Kamel, B Sheng, P Yang, P Li, R Shen, DD Feng IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (9), 1806-1819, 2018 | 226 | 2018 |
| Automatic detection and classification system of domestic waste via multimodel cascaded convolutional neural network J Li, J Chen, B Sheng, P Li, P Yang, DD Feng, J Qi IEEE transactions on industrial informatics 18 (1), 163-173, 2021 | 196 | 2021 |
| Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard ZW Lim, K Pushpanathan, SME Yew, Y Lai, CH Sun, JSH Lam, DZ Chen, ... EBioMedicine 95, 2023 | 188 | 2023 |
| Fibroblast growth factor 21 increases insulin sensitivity through specific expansion of subcutaneous fat H Li, G Wu, Q Fang, M Zhang, X Hui, B Sheng, L Wu, Y Bao, P Li, A Xu, ... Nature communications 9 (1), 1-16, 2018 | 177 | 2018 |
| Clinical report guided retinal microaneurysm detection with multi-sieving deep learning L Dai, R Fang, H Li, X Hou, B Sheng, Q Wu, W Jia IEEE transactions on medical imaging 37 (5), 1149-1161, 2018 | 166 | 2018 |
| BaGFN: broad attentive graph fusion network for high-order feature interactions Z Xie, W Zhang, B Sheng, P Li, CLP Chen IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4499-4513, 2021 | 156 | 2021 |
| Cloud-based automated clinical decision support system for detection and diagnosis of lung cancer in chest CT A Masood, P Yang, B Sheng, H Li, P Li, J Qin, V Lanfranchi, J Kim, ... IEEE journal of translational engineering in health and medicine 8, 1-13, 2019 | 126 | 2019 |
| Deep color guided coarse-to-fine convolutional network cascade for depth image super-resolution Y Wen, B Sheng, P Li, W Lin, DD Feng IEEE Transactions on Image Processing 28 (2), 994-1006, 2018 | 123 | 2018 |
| Deepdrid: Diabetic retinopathy—grading and image quality estimation challenge R Liu, X Wang, Q Wu, L Dai, X Fang, T Yan, J Son, S Tang, J Li, Z Gao, ... Patterns 3 (6), 2022 | 122 | 2022 |
| Deep gesture interaction for augmented anatomy learning A Karambakhsh, A Kamel, B Sheng, P Li, P Yang, DD Feng International Journal of Information Management 45, 328-336, 2019 | 111 | 2019 |
| Photohelper: portrait photographing guidance via deep feature retrieval and fusion N Jiang, B Sheng, P Li, TY Lee IEEE Transactions on Multimedia 25, 2226-2238, 2022 | 110 | 2022 |
| A deep learning system for predicting time to progression of diabetic retinopathy L Dai, B Sheng, T Chen, Q Wu, R Liu, C Cai, L Wu, D Yang, H Hamzah, ... Nature Medicine 30 (2), 584-594, 2024 | 108 | 2024 |
| Artificial intelligence in diabetes management: advancements, opportunities, and challenges Z Guan, H Li, R Liu, C Cai, Y Liu, J Li, X Wang, S Huang, L Wu, D Liu, ... Cell Reports Medicine, 2023 | 105 | 2023 |
| Automatic choroid layer segmentation from optical coherence tomography images using deep learning S Masood, R Fang, P Li, H Li, B Sheng, A Mathavan, X Wang, P Yang, ... Scientific reports 9 (1), 3058, 2019 | 105 | 2019 |
| OFF-eNET: An optimally fused fully end-to-end network for automatic dense volumetric 3D intracranial blood vessels segmentation A Nazir, MN Cheema, B Sheng, H Li, P Li, P Yang, Y Jung, J Qin, J Kim, ... IEEE Transactions on Image Processing 29, 7192-7202, 2020 | 101 | 2020 |
Ping LiThe Hong Kong Polytechnic University在 polyu.edu.hk 的电子邮件经过验证