Zekun Jiang

According to our database, Zekun Jiang authored at least 19 papers between 2021 and 2024.

Collaborative distances:

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

2024

Consensus Synergizes With Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes.

Jiazhong Cen, Zekun Jiang, Lingxi Xie, Dongsheng Jiang, Wei Shen, Qi Tian

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets.

Yiyue Li, Guangwu Qian, Xiaoshuang Jiang, Zekun Jiang, Wen Wen, Shaoting Zhang, Kang Li, Qicheng Lao

IEEE Trans. Medical Imaging, January, 2024

Increasing SAM Zero-Shot Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation.

Zekun Jiang, Dongjie Cheng, Ziyuan Qin, Jun Gao, Qicheng Lao, Kang Li, Le Zhang

CoRR, 2024

Partial Label Learning with a Partner.

Chongjie Si, Zekun Jiang, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry.

Jun Gao, Qicheng Lao, Paul Liu, Huahui Yi, Qingbo Kang, Zekun Jiang, Xiaohu Wu, Kang Li, Yuanyuan Chen, Le Zhang

IEEE J. Biomed. Health Informatics, October, 2023

From Model to Algorithms: Distributed Magnetic Sensor System for Vehicle Tracking.

Jiazeng Wang, Junqi Gao, Shuxiang Zhao, Ruichao Zhu, Zekun Jiang, Zhaoqiang Chu, Zhineng Mao, Ying Shen

IEEE Trans. Ind. Informatics, March, 2023

Self-supervised anomaly detection, staging and segmentation for retinal images.

Yiyue Li, Qicheng Lao, Qingbo Kang, Zekun Jiang, Shiyi Du, Shaoting Zhang, Kang Li

Medical Image Anal., 2023

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes.

Dongjie Cheng, Ziyuan Qin, Zekun Jiang, Shaoting Zhang, Qicheng Lao, Kang Li

CoRR, 2023

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model.

Huahui Yi, Ziyuan Qin, Qicheng Lao, Wei Xu, Zekun Jiang, Dequan Wang, Shaoting Zhang, Kang Li

CoRR, 2023

A contactless automated dynamic monitoring method for organoid morphology on the time axis.

Xun Deng, Lun Hu, Zekun Jiang, Lu Liu, Peng-Wei Hu

Proceedings of the IEEE International Conference on Data Mining, 2023

Self-supervised Character-to-Character Distillation for Text Recognition.

Tongkun Guan, Wei Shen, Xue Yang, Qi Feng, Zekun Jiang, Xiaokang Yang

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.

Zekun Jiang, Ruchun Jia, Le Zhang, Kang Li

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.

Ruchun Jia, Jianwei Zhang, Zekun Jiang

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.

Qingbo Kang, Qicheng Lao, Yiyue Li, Zekun Jiang, Yue Qiu, Shaoting Zhang, Kang Li

Medical Image Anal., 2022

Frequency Characteristics Analysis for Magnetic Anomaly Detection.

Jiazeng Wang, Zekun Jiang, Junqi Gao, Shuxiang Zhao, Wenmin Zhai, Ying Shen

IEEE Geosci. Remote. Sens. Lett., 2022

Generative adversarial networks in medical image segmentation: A review.

Siyi Xun, Dengwang Li, Hui Zhu, Min Chen, Jianbo Wang, Jie Li, Meirong Chen, Bing Wu, Hua Zhang, Xiangfei Chai, Zekun Jiang, Yan Zhang, Pu Huang

Comput. Biol. Medicine, 2022

OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss.

Huahui Yi, Wei Xu, Zekun Jiang, Jun Gao, Qingbo Kang, Qicheng Lao, Kang Li

Proceedings of the Diabetic Foot Ulcers Grand Challenge - Third Challenge, 2022

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction.

Shiyi Du, Qicheng Lao, Qingbo Kang, Yiyue Li, Zekun Jiang, Yanfeng Zhao, Kang Li

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.

Zekun Jiang, Yinjun Dong, Linke Yang, Yunhong Lv, Shuai Dong, Shuanghu Yuan, Dengwang Li, Liheng Liu

J. Digit. Imaging, 2021