Zhenxi Zhang

According to our database, Zhenxi Zhang authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

3-D Convolutional Neural Networks for RGB-D Salient Object Detection and Beyond.

Qian Chen, Zhenxi Zhang, Yanye Lu, Keren Fu, Qijun Zhao

IEEE Trans. Neural Networks Learn. Syst., March, 2024

An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation.

Chunna Tian, Zhenxi Zhang, Xinbo Gao, Heng Zhou, Ran Ran, Zhicheng Jiao

IEEE J. Biomed. Health Informatics, February, 2024

Frequency-aware feature aggregation network with dual-task consistency for RGB-T salient object detection.

Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yongqiang Xie, Zhongbo Li

Pattern Recognit., February, 2024

An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation.

Zhenxi Zhang, Heng Zhou, Xiaoran Shi, Ran Ran, Chunna Tian, Feng Zhou

CoRR, 2024

Quality-driven deep cross-supervised learning network for semi-supervised medical image segmentation.

Zhenxi Zhang, Heng Zhou, Xiaoran Shi, Ran Ran, Chunna Tian, Feng Zhou

Comput. Biol. Medicine, 2024

Low-frequency amplitude fusion based consistency learning method for multi-source domain adaptation for joint optic disc and cup segmentation.

Zhenxi Zhang, Zhuo Tong, Chunna Tian, Yanyu Ye, Weiwei Fan, Ran Ran, Heng Zhou, Feng Zhou

Biomed. Signal Process. Control., 2024

Local-global pseudo-label correction for source-free domain adaptive medical image segmentation.

Yanyu Ye, Zhenxi Zhang, Chunna Tian, Wei Wei

Biomed. Signal Process. Control., 2024

2023

Model-driven self-aware self-training framework for label noise-tolerant medical image segmentation.

Zhenxi Zhang, Chunna Tian, Xinbo Gao, Ran Ran, Yanyu Ye, Heng Zhou, Zhuo Tong

Signal Process., November, 2023

Kernel-based feature aggregation framework in point cloud networks.

Jianjia Zhang, Zhenxi Zhang, Lei Wang, Luping Zhou, Xiaocai Zhang, Mengting Liu, Weiwen Wu

Pattern Recognit., July, 2023

Position-Aware Relation Learning for RGB-Thermal Salient Object Detection.

Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yuxuan Ding, Yongqiang Xie, Zhongbo Li

IEEE Trans. Image Process., 2023

Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation.

Yanyu Ye, Zhenxi Zhang, Wei Wei, Chunna Tian

CoRR, 2023

Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation.

Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Fan Yang, Xin Li, Zhicheng Jiao

CoRR, 2023

Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation.

Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

PixelGame: Infrared Small Target Segmentation as a Nash Equilibrium.

Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yongqiang Xie, Zhongbo Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Collaborative boundary-aware context encoding networks for error map prediction.

Zhenxi Zhang, Chunna Tian, Xinbo Gao, Jie Li, Zhicheng Jiao, Cui Wang, Zhusi Zhong

Pattern Recognit., 2022

Discriminative error prediction network for semi-supervised colon gland segmentation.

Zhenxi Zhang, Chunna Tian, Harrison X. Bai, Zhicheng Jiao, Xilan Tian

Medical Image Anal., 2022

Multispectral Fusion Transformer Network for RGB-Thermal Urban Scene Semantic Segmentation.

Heng Zhou, Chunna Tian, Zhenxi Zhang, Qizheng Huo, Yongqiang Xie, Zhongbo Li

IEEE Geosci. Remote. Sens. Lett., 2022

Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation.

Zhenxi Zhang, Chunna Tian, Xinbo Gao, Cui Wang, Xue Feng, Harrison X. Bai, Zhicheng Jiao

Neurocomputing, 2022

Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation.

Zhenxi Zhang, Chunna Tian, Zhicheng Jiao

CoRR, 2022

2021

Visual relationship detection with region topology structure.

Le Zhang, Ying Wang, HaiShun Chen, Jie Li, Zhenxi Zhang

Inf. Sci., 2021

Quality-driven deep active learning method for 3D brain MRI segmentation.

Zhenxi Zhang, Jie Li, Chunna Tian, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao

Neurocomputing, 2021

2020

Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction.

Zhenxi Zhang, Chunna Tian, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao

CoRR, 2020

2019

A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation.

Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao

CoRR, 2019

A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment.

Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms.

Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI.

Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao

Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019