Content-noise complementary learning for medical image denoising M Geng, X Meng, J Yu, L Zhu, L Jin, Z Jiang, B Qiu, H Li, H Kong, J Yuan, ... IEEE transactions on medical imaging 41 (2), 407-419, 2021 | 92 | 2021 |
Bagging regional classification activation maps for weakly supervised object localization L Zhu, Q Chen, L Jin, Y You, Y Lu European Conference on Computer Vision, 176-192, 2022 | 21 | 2022 |
Background-aware classification activation map for weakly supervised object localization L Zhu, Q She, Q Chen, X Meng, M Geng, L Jin, Y Zhang, Q Ren, Y Lu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 15 | 2023 |
Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling H Yang, Q Chen, K Fu, L Zhu, L Jin, B Qiu, Q Ren, H Du, Y Lu Computerized Medical Imaging and Graphics 101, 102110, 2022 | 4 | 2022 |
Evaluating the impact of different positron emitters on the performance of a clinical PET/MR system X Meng, H Liu, H Li, S Wang, H Sun, F Wang, J Ding, L He, X Chen, L Jin, ... Medical Physics 49 (4), 2642-2651, 2022 | 4 | 2022 |
PSCAT: a lightweight transformer for simultaneous denoising and super-resolution of OCT images B Yao, L Jin, J Hu, Y Liu, Y Yan, Q Li, Y Lu Biomedical Optics Express 15 (5), 2958-2976, 2024 | | 2024 |
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label X Zhang, L Zhu, H He, L Jin, Y Lu Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7332-7340, 2024 | | 2024 |
One-Pot Multi-frame Denoising L Jin, Q Guo, S Zhao, L Zhu, Q Chen, Q Ren, Y Lu International Journal of Computer Vision 132 (2), 515-536, 2024 | | 2024 |
Analysis of New Super-Resolution Microscopy Technology L Jin, Y He, L Qu, C Zhang, M Li, P Xi Laser & Optoelectronics Progress 55 (3), 030006, 2018 | | 2018 |
ShareFormer: Share Attention for Efficient Image Restoration JK Hu, L Jin, Y Lu | | |