Xiaomeng Li
标题
引用次数
引用次数
年份
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
5952018
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
1682019
Uncertainty-aware self-ensembling model for semi-supervised 3D left atrium segmentation
L Yu, S Wang, X Li, CW Fu, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2019
682019
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
662018
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
352020
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
322019
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
312018
Deeply supervised rotation equivariant network for lesion segmentation in dermoscopy images
X Li, L Yu, CW Fu, PA Heng
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018
202018
Revisiting metric learning for few-shot image classification
X Li, L Yu, CW Fu, M Fang, PA Heng
Neurocomputing 406, 49-58, 2020
152020
Difficulty-aware meta-learning for rare disease diagnosis
X Li, L Yu, Y Jin, CW Fu, L Xing, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2020
92020
Multi-scale and modality dropout learning for intervertebral disc localization and segmentation
X Li, Q Dou, H Chen, CW Fu, PA Heng
International Workshop on Computational Methods and Clinical Applications …, 2016
92016
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
62020
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
62020
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
42020
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
32020
Feature-preserving ultrasound speckle reduction via L0 minimization
L Zhu, W Wang, X Li, Q Wang, J Qin, KH Wong, KS Choi, CW Fu, ...
Neurocomputing 294, 48-60, 2018
32018
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
C Xue, Q Deng, X Li, Q Dou, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2020
22020
Ultrasound Speckle Reduction via Minimization
L Zhu, W Wang, X Li, Q Wang, J Qin, KH Wong, PA Heng
Asian Conference on Computer Vision, 50-65, 2016
12016
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
2021
Deep learning-augmented radiotherapy visualization with a cylindrical radioluminescence system
M Jia, X Li, Y Wu, Y Yang, P Kasimbeg, L Skinner, L Wang, L Xing
Physics in Medicine & Biology 66 (4), 045014, 2021
2021
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