Xiaomeng Li
Cited by
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H-DenseUNet: Hybrid densely connected UNet for liver and liver tumor segmentation from CT volumes
X Li, H Chen, X Qi, Q Dou, CW Fu, PA Heng
IEEE Transactions on Medical Imaging 37 (12), 2663-2674, 2018
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
Uncertainty-aware self-ensembling model for semi-supervised 3D left atrium segmentation
L Yu, S Wang, X Li, CW Fu, PA Heng
Medical image computing and computer assisted intervention–MICCAI 2019: 22nd …, 2019
Transformation-consistent self-ensembling model for semisupervised medical image segmentation
X Li, L Yu, H Chen, CW Fu, L Xing, PA Heng
IEEE Transactions on Neural Networks and Learning Systems 32 (2), 523-534, 2020
CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading
X Li, X Hu, L Yu, L Zhu, CW Fu, PA Heng
IEEE Transactions on Medical Imaging 39 (5), 1483--1493, 2019
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model
X Li, L Yu, H Chen, CW Fu, PA Heng
The British Machine Vision Conference 2018., 2018
3D multi-scale FCN with random modality voxel dropout learning for intervertebral disc localization and segmentation from multi-modality MR images
X Li, Q Dou, H Chen, CW Fu, X Qi, DL Belavý, G Armbrecht, D Felsenberg, ...
Medical image analysis 45, 41-54, 2018
Global guidance network for breast lesion segmentation in ultrasound images
C Xue, L Zhu, H Fu, X Hu, X Li, H Zhang, PA Heng
Medical image analysis 70, 101989, 2021
Self-supervised feature learning via exploiting multi-modal data for retinal disease diagnosis
X Li, M Jia, MT Islam, L Yu, L Xing
IEEE Transactions on Medical Imaging 39 (12), 4023-4033, 2020
Deep sinogram completion with image prior for metal artifact reduction in CT images
L Yu, Z Zhang, X Li, L Xing
IEEE transactions on medical imaging 40 (1), 228-238, 2020
Revisiting metric learning for few-shot image classification
X Li, L Yu, CW Fu, M Fang, PA Heng
Neurocomputing 406, 49-58, 2020
Rotation-oriented collaborative self-supervised learning for retinal disease diagnosis
X Li, X Hu, X Qi, L Yu, W Zhao, PA Heng, L Xing
IEEE Transactions on Medical Imaging 40 (9), 2284-2294, 2021
Difficulty-aware meta-learning for rare disease diagnosis
X Li, L Yu, Y Jin, CW Fu, L Xing, PA Heng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation
H Yao, X Hu, X Li
Thirty-sixth AAAI conference on artificial intelligence, 2022
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Y Li, Y Duan, Z Kuang, Y Chen, W Zhang, X Li
Thirty-sixth AAAI conference on artificial intelligence, 2022
Age challenge: angle closure glaucoma evaluation in anterior segment optical coherence tomography
H Fu, F Li, X Sun, X Cao, J Liao, JI Orlando, X Tao, Y Li, S Zhang, M Tan, ...
Medical Image Analysis 66, 101798, 2020
Rscfed: Random sampling consensus federated semi-supervised learning
X Liang, Y Lin, H Fu, L Zhu, X Li
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2022
Clip surgery for better explainability with enhancement in open-vocabulary tasks
Y Li, H Wang, Y Duan, X Li
arXiv preprint arXiv:2304.05653, 2023
Support-set based cross-supervision for video grounding
X Ding, N Wang, S Zhang, D Cheng, X Li, Z Huang, M Tang, X Gao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Deep Sub-region Network for Salient Object Detection
L Wang, R Chen, L Zhu, H Xie, X Li
IEEE Transactions on Circuits and Systems for Video Technology 31 (2), 728 - 741, 2020
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