Zhenxi Zhang
Orcid: 0000-0002-2171-8439
According to our database1,
Zhenxi Zhang
authored at least 26 papers
between 2019 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, February, 2024
Frequency-aware feature aggregation network with dual-task consistency for RGB-T salient object detection.
Pattern Recognit., February, 2024
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation.
CoRR, 2024
Quality-driven deep cross-supervised learning network for semi-supervised medical image segmentation.
Comput. Biol. Medicine, 2024
Low-frequency amplitude fusion based consistency learning method for multi-source domain adaptation for joint optic disc and cup segmentation.
Biomed. Signal Process. Control., 2024
Local-global pseudo-label correction for source-free domain adaptive medical image segmentation.
Biomed. Signal Process. Control., 2024
2023
Model-driven self-aware self-training framework for label noise-tolerant medical image segmentation.
Signal Process., November, 2023
Pattern Recognit., July, 2023
IEEE Trans. Image Process., 2023
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation.
CoRR, 2023
CoRR, 2023
Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Pattern Recognit., 2022
Discriminative error prediction network for semi-supervised colon gland segmentation.
Medical Image Anal., 2022
Multispectral Fusion Transformer Network for RGB-Thermal Urban Scene Semantic Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2022
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation.
Neurocomputing, 2022
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation.
CoRR, 2022
2021
Neurocomputing, 2021
2020
CoRR, 2020
2019
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation.
CoRR, 2019
A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019
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.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019