Zekun Jiang
Orcid: 0000-0002-3178-7761
According to our database1,
Zekun Jiang
authored at least 21 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Consensus Synergizes With Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes.
IEEE Trans. Circuits Syst. Video Technol., February, 2024
Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets.
IEEE Trans. Medical Imaging, January, 2024
Increasing SAM Zero-Shot Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation.
CoRR, 2024
Domain-Adaptive Semantic Segmentation Emerges From Vision-Language Supervised Domain-Debiased Self-Training.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE J. Biomed. Health Informatics, October, 2023
IEEE Trans. Ind. Informatics, March, 2023
Medical Image Anal., 2023
CoRR, 2023
A contactless automated dynamic monitoring method for organoid morphology on the time axis.
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Pre-Trained Tabular Transformer for Real-Time, Efficient, Stable Radiomics Data Processing: A Comprehensive Study.
Proceedings of the IEEE International Conference on E-health Networking, 2023
Research on Clustering Detection Method for Security Attack Behaviors Based on Air Traffic Control Network.
Proceedings of the IEEE International Conference on E-health Networking, 2023
2022
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning.
Medical Image Anal., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Comput. Biol. Medicine, 2022
Proceedings of the Diabetic Foot Ulcers Grand Challenge - Third Challenge, 2022
Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study.
J. Digit. Imaging, 2021