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Zhenxi Zhang
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2020 – today
- 2024
- [j17]Yanyu Ye, Zhenxi Zhang, Chunna Tian, Wei Wei:
Local-global pseudo-label correction for source-free domain adaptive medical image segmentation. Biomed. Signal Process. Control. 93: 106200 (2024) - [j16]Zhenxi Zhang, Zhuo Tong, Chunna Tian, Yanyu Ye, Weiwei Fan, Ran Ran, Heng Zhou, Feng Zhou:
Low-frequency amplitude fusion based consistency learning method for multi-source domain adaptation for joint optic disc and cup segmentation. Biomed. Signal Process. Control. 96: 106481 (2024) - [j15]Zhenxi Zhang, Heng Zhou, Xiaoran Shi, Ran Ran, Chunna Tian, Feng Zhou:
Quality-driven deep cross-supervised learning network for semi-supervised medical image segmentation. Comput. Biol. Medicine 176: 108609 (2024) - [j14]Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yongqiang Xie, Zhongbo Li:
Frequency-aware feature aggregation network with dual-task consistency for RGB-T salient object detection. Pattern Recognit. 146: 110043 (2024) - [j13]Chunna Tian, Zhenxi Zhang, Xinbo Gao, Heng Zhou, Ran Ran, Zhicheng Jiao:
An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(2): 929-940 (2024) - [j12]Xiangyang Li, Shiguo Chen, Chunna Tian, Heng Zhou, Zhenxi Zhang:
M2FNet: Mask-Guided Multi-Level Fusion for RGB-T Pedestrian Detection. IEEE Trans. Multim. 26: 8678-8690 (2024) - [j11]Qian Chen, Zhenxi Zhang, Yanye Lu, Keren Fu, Qijun Zhao:
3-D Convolutional Neural Networks for RGB-D Salient Object Detection and Beyond. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4309-4323 (2024) - [i10]Zhenxi Zhang, Heng Zhou, Xiaoran Shi, Ran Ran, Chunna Tian, Feng Zhou:
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation. CoRR abs/2404.07032 (2024) - 2023
- [j10]Jianjia Zhang, Zhenxi Zhang, Lei Wang, Luping Zhou, Xiaocai Zhang, Mengting Liu, Weiwen Wu:
Kernel-based feature aggregation framework in point cloud networks. Pattern Recognit. 139: 109439 (2023) - [j9]Zhenxi Zhang, Chunna Tian, Xinbo Gao, Ran Ran, Yanyu Ye, Heng Zhou, Zhuo Tong:
Model-driven self-aware self-training framework for label noise-tolerant medical image segmentation. Signal Process. 212: 109177 (2023) - [j8]Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yuxuan Ding, Yongqiang Xie, Zhongbo Li:
Position-Aware Relation Learning for RGB-Thermal Salient Object Detection. IEEE Trans. Image Process. 32: 2593-2607 (2023) - [c4]Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao:
Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation. MICCAI (2) 2023: 192-201 - [i9]Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao:
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2305.16214 (2023) - [i8]Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Fan Yang, Xin Li, Zhicheng Jiao:
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation. CoRR abs/2305.16216 (2023) - [i7]Yanyu Ye, Zhenxi Zhang, Wei Wei, Chunna Tian:
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation. CoRR abs/2310.11766 (2023) - 2022
- [j7]Zhenxi Zhang, Chunna Tian, Xinbo Gao, Cui Wang, Xue Feng, Harrison X. Bai, Zhicheng Jiao:
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation. Neurocomputing 507: 369-382 (2022) - [j6]Heng Zhou, Chunna Tian, Zhenxi Zhang, Qizheng Huo, Yongqiang Xie, Zhongbo Li:
Multispectral Fusion Transformer Network for RGB-Thermal Urban Scene Semantic Segmentation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]Zhenxi Zhang, Chunna Tian, Harrison X. Bai, Zhicheng Jiao, Xilan Tian:
Discriminative error prediction network for semi-supervised colon gland segmentation. Medical Image Anal. 79: 102458 (2022) - [j4]Zhenxi Zhang, Chunna Tian, Xinbo Gao, Jie Li, Zhicheng Jiao, Cui Wang, Zhusi Zhong:
Collaborative boundary-aware context encoding networks for error map prediction. Pattern Recognit. 125: 108515 (2022) - [j3]Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yongqiang Xie, Zhongbo Li:
PixelGame: Infrared Small Target Segmentation as a Nash Equilibrium. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8010-8024 (2022) - [i6]Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yongqiang Xie, Zhongbo Li:
PixelGame: Infrared small target segmentation as a Nash equilibrium. CoRR abs/2205.13124 (2022) - [i5]Zhenxi Zhang, Chunna Tian, Zhicheng Jiao:
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation. CoRR abs/2206.01739 (2022) - [i4]Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yuxuan Ding, Yongqiang Xie, Zhongbo Li:
Position-Aware Relation Learning for RGB-Thermal Salient Object Detection. CoRR abs/2209.10158 (2022) - 2021
- [j2]Zhenxi Zhang, Jie Li, Chunna Tian, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
Quality-driven deep active learning method for 3D brain MRI segmentation. Neurocomputing 446: 106-117 (2021) - [j1]Le Zhang, Ying Wang, HaiShun Chen, Jie Li, Zhenxi Zhang:
Visual relationship detection with region topology structure. Inf. Sci. 564: 384-395 (2021) - 2020
- [i3]Zhenxi Zhang, Chunna Tian, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction. CoRR abs/2006.14345 (2020)
2010 – 2019
- 2019
- [c3]Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI. IScIDE (1) 2019: 285-298 - [c2]Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment. CSI@MICCAI 2019: 101-106 - [c1]Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. MICCAI (6) 2019: 540-548 - [i2]Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation. CoRR abs/1906.07367 (2019) - [i1]Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. CoRR abs/1906.07549 (2019)
Coauthor Index
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last updated on 2024-09-10 01:17 CEST by the dblp team
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