Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation J Wu, W Ji, H Fu, M Xu, Y Xu, Y Jin arXiv preprint arXiv:2304.12620, 2023 | 289 | 2023 |
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model J Wu, H Fang, Y Zhang, Y Yang, Y Xu Medical Imaging with Deep Learning (MIDL) 2023, 2023 | 186 | 2023 |
Learning calibrated medical image segmentation via multi-rater agreement modeling J Wu, W Ji, S Yu, K Ma, C Bian, Q Bi, J Li, H Liu, L Cheng, Y Zheng 🏅CVPR 2021 (Best Paper Nomination), 12341-12351, 2021 | 147 | 2021 |
Medsegdiff-v2: Diffusion based medical image segmentation with transformer J Wu, W Ji, R Fu, H Fu, M Xu, Y Jin, Y Xu AAAI 2024, 2023 | 91 | 2023 |
Gamma challenge: glaucoma grading from multi-modality images J Wu, H Fang, F Li, H Fu, F Lin, H Bogunovic, IJ Orlando, X Zhang, Y Xu, ... Medical Image Analysis 2023, 2023 | 50 | 2023 |
TR-GAN: Topology ranking GAN with triplet loss for retinal artery/vein classification W Chen, S Yu, J Wu, K Ma, C Bian, C Chu, L Shen, Y Zheng MICCAI 2020, 616-625, 2020 | 29 | 2020 |
Leveraging undiagnosed data for glaucoma classification with teacher-student learning J Wu, S Yu, W Chen, K Ma, R Fu, H Liu, X Di, Y Zheng MICCAI 2020, 731-740, 2020 | 25 | 2020 |
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment H Fang, F Li, J Wu, H Fu, X Sun, X Cao, J Son, S Yu, M Zhang, C Yuan, ... arXiv preprint arXiv:2202.08994, 2022 | 23* | 2022 |
Seatrans: Learning segmentation-assisted diagnosis model via transforme J Wu, H Fang, F Shang, D Yang, Z Wang, J Gao, Y Yang, Y Xu MICCAI 2022, 2022 | 16 | 2022 |
Integrating neural networks into the blind deblurring framework to compete with the end-to-end learning-based methods J Wu, X Di IEEE Transactions on Image Processing (TIP) 29, 6841-6851, 2020 | 15 | 2020 |
Universal, transferable and targeted adversarial attacks J Wu, R Fu arXiv preprint arXiv:1908.11332, 2020 | 15 | 2020 |
A Multicenter Clinical Study of the Automated Fundus Screening Algorithm F Li, J Pan, D Yang, J Wu, Y Ou, H Li, J Huang, H Xie, D Ou, X Wu, B Wu, ... Translational Vision Science & Technology 11 (7), 2022 | 14 | 2022 |
Learning self-calibrated optic disc and cup segmentation from multi-rater annotations J Wu, H Fang, F Shang, Z Wang, D Yang, W Zhou, Y Yang, Y Xu MICCAI 2022, 2022 | 13 | 2022 |
Dataset and Evaluation algorithm design for GOALS Challenge H Fang, F Li, H Fu, J Wu, X Zhang, Y Xu International Workshop on Ophthalmic Medical Image Analysis, 2022 | 12 | 2022 |
Validating automated eye disease screening AI algorithm in community and in-hospital scenarios Y Han, R., Cheng, G., Zhang, B., Yang, J., Yuan, M., Yang, D., Wu, J., Liu ... Frontiers in Public Health, 2022 | 11 | 2022 |
A Fast and Lightweight Network for Low-Light Image Enhancement Y Zhang, X Di, J Wu, RAO FU, Y Li, Y Wang, Y Xu, G YANG, C Wang arxiv.org/abs/2304.02978, 2023 | 10 | 2023 |
Open fundus photograph dataset with pathologic myopia recognition and anatomical structure annotation H Fang, F Li, J Wu, H Fu, X Sun, JI Orlando, H Bogunović, X Zhang, Y Xu Nature Scientific Data 11 (1), 99, 2024 | 9 | 2024 |
One-Prompt to Segment All Medical Images J Wu, J Zhu, Y Jin, X Min CVPR 2024, 2024 | 9* | 2024 |
A novel convolutional neural network method for crowd counting J Huang, X Di, J Wu, A Chen Frontiers of Information Technology & Electronic Engineering 21 (8), 1150-1160, 2020 | 9 | 2020 |
Opinions Vary? Diagnosis First! J Wu, F Huihui, Y Dalu, W Zhaowei, Z Wenshuo, S Fangxin, Y Yehui, Y Xu MICCAI 2022, 2022 | 7 | 2022 |