Підписатись
Huisi Wu
Huisi Wu
Підтверджена електронна адреса в szu.edu.cn - Домашня сторінка
Назва
Посилання
Посилання
Рік
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
4072022
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
2202021
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
1522020
Resizing by symmetry-summarization.
H Wu, YS Wang, KC Feng, TT Wong, TY Lee, PA Heng
ACM Trans. Graph. 29 (6), 159, 2010
1072010
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
832022
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
702020
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
702016
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
632020
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
592021
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
552021
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
532023
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
522022
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
502022
Optimized HRNet for image semantic segmentation
H Wu, C Liang, M Liu, Z Wen
Expert Systems with Applications 174, 114532, 2021
462021
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
392017
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
372022
Prior-guided adversarial learning with hypergraph for predicting abnormal connections in Alzheimer’s disease
Q Zuo, H Wu, CLP Chen, B Lei, S Wang
IEEE Transactions on Cybernetics 54 (6), 3652-3665, 2024
352024
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
342015
Brain structure-function fusing representation learning using adversarial decomposed-VAE for analyzing MCI
Q Zuo, N Zhong, Y Pan, H Wu, B Lei, S Wang
IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 4017-4028, 2023
322023
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
322021
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