| FAT-Net: Feature adaptive transformers for automated skin lesion segmentation H Wu, S Chen, G Chen, W Wang, B Lei, Z Wen Medical image analysis 76, 102327, 2022 | 339 | 2022 |
| Scs-net: A scale and context sensitive network for retinal vessel segmentation H Wu, W Wang, J Zhong, B Lei, Z Wen, J Qin Medical Image Analysis 70, 102025, 2021 | 189 | 2021 |
| Automated skin lesion segmentation via an adaptive dual attention module H Wu, J Pan, Z Li, Z Wen, J Qin IEEE transactions on medical imaging 40 (1), 357-370, 2020 | 133 | 2020 |
| Resizing by symmetry-summarization. H Wu, YS Wang, KC Feng, TT Wong, TY Lee, PA Heng ACM Trans. Graph. 29 (6), 159, 2010 | 108 | 2010 |
| Cross-patch dense contrastive learning for semi-supervised segmentation of cellular nuclei in histopathologic images H Wu, Z Wang, Y Song, L Yang, J Qin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 72 | 2022 |
| Tensor voting guided mesh denoising M Wei, L Liang, WM Pang, J Wang, W Li, H Wu IEEE transactions on automation science and engineering 14 (2), 931-945, 2016 | 69 | 2016 |
| PolypSeg: An efficient context-aware network for polyp segmentation from colonoscopy videos J Zhong, W Wang, H Wu, Z Wen, J Qin Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 64 | 2020 |
| Rvseg-net: An efficient feature pyramid cascade network for retinal vessel segmentation W Wang, J Zhong, H Wu, Z Wen, J Qin Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 56 | 2020 |
| Precise yet efficient semantic calibration and refinement in convnets for real-time polyp segmentation from colonoscopy videos H Wu, J Zhong, W Wang, Z Wen, J Qin Proceedings of the AAAI conference on artificial intelligence 35 (4), 2916-2924, 2021 | 49 | 2021 |
| Collaborative and adversarial learning of focused and dispersive representations for semi-supervised polyp segmentation H Wu, G Chen, Z Wen, J Qin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 49 | 2021 |
| PolypSeg+: A Lightweight Context-Aware Network for Real-Time Polyp Segmentation H Wu, Z Zhao, J Zhong, W Wang, Z Wen, J Qin IEEE Transactions on Cybernetics 53 (4), 2610-2621, 2022 | 44 | 2022 |
| Optimized HRNet for image semantic segmentation H Wu, C Liang, M Liu, Z Wen Expert Systems with Applications 174, 114532, 2021 | 40 | 2021 |
| Effective alternating direction optimization methods for sparsity-constrained blind image deblurring N Xiong, RW Liu, M Liang, D Wu, Z Liu, H Wu Sensors 17 (1), 174, 2017 | 39 | 2017 |
| Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion H Wu, J Liu, F Xiao, Z Wen, L Cheng, J Qin Medical Image Analysis 78, 102397, 2022 | 38 | 2022 |
| META-Unet: Multi-scale efficient transformer attention Unet for fast and high-accuracy polyp segmentation H Wu, Z Zhao, Z Wang IEEE Transactions on Automation Science and Engineering, 2023 | 37 | 2023 |
| Low-toxic gelcasting of giant dielectric-constant CaCu3Ti4O12 ceramics from the molten salt powder W Wan, C Liu, H Sun, Z Luo, WX Yuan, H Wu, T Qiu Journal of the European Ceramic Society 35 (13), 3529-3534, 2015 | 33 | 2015 |
| Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator H Wu, X Lu, B Lei, Z Wen Medical image analysis 68, 101891, 2021 | 30 | 2021 |
| Learning-based 3D surface optimization from medical image reconstruction M Wei, J Wang, X Guo, H Wu, H Xie, FL Wang, J Qin Optics and Lasers in Engineering 103, 110-118, 2018 | 29 | 2018 |
| Dual contrastive learning with anatomical auxiliary supervision for few-shot medical image segmentation H Wu, F Xiao, C Liang European Conference on Computer Vision, 417-434, 2022 | 28 | 2022 |
| Memory-efficient automatic kidney and tumor segmentation based on non-local context guided 3D U-Net Z Li, J Pan, H Wu, Z Wen, J Qin Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 27 | 2020 |
Pheng Ann HengChoh-Ming Li Professor of Computer Science and Engineering, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
