| An annotation-free restoration network for cataractous fundus images H Li, H Liu, Y Hu, H Fu, Y Zhao, H Miao, J Liu IEEE Transactions on Medical Imaging 41 (7), 1699-1710, 2022 | 58 | 2022 |
| A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction Y Dang, Z Chen, H Li, H Shu Applied Artificial Intelligence 36 (1), 2074129, 2022 | 35 | 2022 |
| Structure-consistent restoration network for cataract fundus image enhancement H Li, H Liu, H Fu, H Shu, Y Zhao, X Luo, Y Hu, J Liu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 34 | 2022 |
| Learnable ophthalmology sam Z Qiu, Y Hu, H Li, J Liu arXiv preprint arXiv:2304.13425, 2023 | 33 | 2023 |
| Quaternion generic Fourier descriptor for color object recognition H Li, Z Liu, Y Huang, Y Shi Pattern recognition 48 (12), 3895-3903, 2015 | 33 | 2015 |
| Multi-learner based deep meta-learning for few-shot medical image classification H Jiang, M Gao, H Li, R Jin, H Miao, J Liu IEEE Journal of Biomedical and Health Informatics 27 (1), 17-28, 2022 | 31 | 2022 |
| Accuracy of deformable image registration on magnetic resonance images in digital and physical phantoms RB Ger, J Yang, Y Ding, MC Jacobsen, CD Fuller, RM Howell, H Li, ... Medical physics 44 (10), 5153-5161, 2017 | 30 | 2017 |
| Degradation-invariant enhancement of fundus images via pyramid constraint network H Liu, H Li, H Fu, R Xiao, Y Gao, Y Hu, J Liu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 25 | 2022 |
| Cell dynamic morphology classification using deep convolutional neural networks H Li, F Pang, Y Shi, Z Liu Cytometry Part A 93 (6), 628-638, 2018 | 24 | 2018 |
| Frequency-mixed single-source domain generalization for medical image segmentation H Li, H Li, W Zhao, H Fu, X Su, Y Hu, J Liu International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 23 | 2023 |
| Transplantation of embryonic spinal cord derived cells helps to prevent muscle atrophy after peripheral nerve injury C Ruven, W Li, H Li, WM Wong, W Wu International journal of molecular sciences 18 (3), 511, 2017 | 23 | 2017 |
| Restoration of cataract fundus images via unsupervised domain adaptation H Li, H Liu, Y Hu, R Higashita, Y Zhao, H Qi, J Liu 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 516-520, 2021 | 21 | 2021 |
| Intratumoral genetic heterogeneity and number of cytogenetic aberrations provide additional prognostic significance in chronic lymphocytic leukemia S Yi, Z Li, D Zou, G An, R Cui, S Zhong, H Li, W Xiong, C Li, W Chen, ... Genetics in Medicine 19 (2), 182-191, 2017 | 21 | 2017 |
| Iterative closest graph matching for non-rigid 3D/2D coronary arteries registration J Zhu, H Li, D Ai, Q Yang, J Fan, Y Huang, H Song, Y Han, J Yang Computer Methods and Programs in Biomedicine 199, 105901, 2021 | 17 | 2021 |
| Endoscopic image feature matching via motion consensus and global bilateral regression Y Chu, H Li, X Li, Y Ding, X Yang, D Ai, X Chen, Y Wang, J Yang Computer Methods and Programs in Biomedicine 190, 105370, 2020 | 17 | 2020 |
| A generic fundus image enhancement network boosted by frequency self-supervised representation learning H Li, H Liu, H Fu, Y Xu, H Shu, K Niu, Y Hu, J Liu Medical Image Analysis 90, 102945, 2023 | 16 | 2023 |
| Multi-level feature aggregation network for instrument identification of endoscopic images Y Chu, X Yang, H Li, D Ai, Y Ding, J Fan, H Song, J Yang Physics in medicine & biology 65 (16), 165004, 2020 | 13 | 2020 |
| Enhancing and adapting in the clinic: source-free unsupervised domain adaptation for medical image enhancement H Li, Z Lin, Z Qiu, Z Li, K Niu, N Guo, H Fu, Y Hu, J Liu IEEE Transactions on Medical Imaging 43 (4), 1323-1336, 2023 | 12 | 2023 |
| CT scan synthesis for promoting computer-aided diagnosis capacity of COVID-19 H Li, Y Hu, S Li, W Lin, P Liu, R Higashita, J Liu Intelligent Computing Theories and Application: 16th International …, 2020 | 11 | 2020 |
| Replay-oriented gradient projection memory for continual learning in medical scenarios K Shu, H Li, J Cheng, Q Guo, L Leng, J Liao, Y Hu, J Liu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 10 | 2022 |
Jiang LiuSouthern University of Science and TechnologyZweryfikowany adres z sustech.edu.cn