Jian Zhang
Orcid: 0009-0008-9576-4930Affiliations:
- Nanjing University, Key Laboratory for Novel Software Technology, Nanjing, China
- Nanjing University, National Institute of Healthcare Data Science, Nanjing, China
According to our database1,
Jian Zhang
authored at least 27 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
A hybrid dual-augmentation constraint framework for single-source domain generalization in medical image segmentation.
Pattern Recognit., 2026
2025
Mamba-Sea: A Mamba-Based Framework With Global-to-Local Sequence Augmentation for Generalizable Medical Image Segmentation.
IEEE Trans. Medical Imaging, September, 2025
Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation.
CoRR, August, 2025
Towards Perfection: Building Inter-component Mutual Correction for Retinex-based Low-light Image Enhancement.
CoRR, August, 2025
Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild.
CoRR, August, 2025
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation.
CoRR, May, 2025
Fusing Dual Encoders: Single-Source Domain Generalization with Extremely Few Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
GA-SAM: Geometry-Aware SAM Adaptation with Sparse Annotation-Driven Point Cloud Completion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
IEEE Trans. Knowl. Data Eng., November, 2024
Pattern Recognit., February, 2024
Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation.
CoRR, 2024
The Devil Is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2024, 2024
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022
Generalizable model-agnostic semantic segmentation via target-specific normalization.
Pattern Recognit., 2022
A time-incorporated SOFA score-based machine learning model for predicting mortality in critically ill patients: A multicenter, real-world study.
Int. J. Medical Informatics, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Artif. Intell. Medicine, 2021
2020
Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization.
CoRR, 2020