| 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 | 595 | 2018 |
| 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 | 168 | 2019 |
| 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 | 68 | 2019 |
| 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 | 66 | 2018 |
| 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 | 35 | 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 | 32 | 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 | 31 | 2018 |
| 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 | 20 | 2018 |
| Revisiting metric learning for few-shot image classification X Li, L Yu, CW Fu, M Fang, PA Heng Neurocomputing 406, 49-58, 2020 | 15 | 2020 |
| 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 | 9 | 2020 |
| 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 | 9 | 2016 |
| 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 | 6 | 2020 |
| 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 | 6 | 2020 |
| 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 | 4 | 2020 |
| 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 | 3 | 2020 |
| 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 | 3 | 2018 |
| 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 | 2 | 2020 |
| 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 | 1 | 2016 |
| 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 |
Pheng Ann HengProfessor, Computer Science & Engineering, Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
