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)

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction. - Shiyi Du; Qicheng Lao; Qingbo Kang; Yiyue Li; Zekun Jiang; Yanfeng Zhao; Kang Li 004 (MICCAI (2), 2022)

OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss. - Huahui Yi; Wei Xu 046; Zekun Jiang; Jun Gao; Qingbo Kang; Qicheng Lao; Kang Li 004 (DFUC@MICCAI, 2022)

Generative adversarial networks in medical image segmentation: A review. - Siyi Xun; Dengwang Li; Hui Zhu; Min Chen; Jianbo Wang; Jie Li 083; Meirong Chen; Bing Wu; Hua Zhang; Xiangfei Chai; Zekun Jiang; Yan Zhang; et al. (Comput. Biol. Medicine, 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)

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 001; Kang Li 004 (Medical Image Anal., 2022)

Research on Clustering Detection Method for Security Attack Behaviors Based on Air Traffic Control Network. - Ruchun Jia; Jianwei Zhang 013; Zekun Jiang (HealthCom, 2023)

Pre-Trained Tabular Transformer for Real-Time, Efficient, Stable Radiomics Data Processing: A Comprehensive Study. - Zekun Jiang; Ruchun Jia; Le Zhang 004; Kang Li 004 (HealthCom, 2023)

Self-supervised Character-to-Character Distillation for Text Recognition. - Tongkun Guan; Wei Shen 002; Xue Yang 005; Qi Feng; Zekun Jiang; Xiaokang Yang 001 (ICCV, 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 001 (ICDM (Workshops), 2023)

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model. - Huahui Yi; Ziyuan Qin 001; Qicheng Lao; Wei Xu 046; Zekun Jiang; Dequan Wang; Shaoting Zhang 001; Kang Li 004 (CoRR, 2023)

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes. - Dongjie Cheng; Ziyuan Qin 001; Zekun Jiang; Shaoting Zhang 001; Qicheng Lao; Kang Li 004 (CoRR, 2023)

Self-supervised anomaly detection, staging and segmentation for retinal images. - Yiyue Li; Qicheng Lao; Qingbo Kang; Zekun Jiang; Shiyi Du; Shaoting Zhang 001; Kang Li 004 (Medical Image Anal., 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, 2023)

Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry. - Jun Gao; Qicheng Lao; Paul Liu 003; Huahui Yi; Qingbo Kang; Zekun Jiang; Xiaohu Wu; Kang Li 004; Yuanyuan Chen; Le Zhang 004 (IEEE J. Biomed. Health Informatics, 2023)

Partial Label Learning with a Partner. - Chongjie Si; Zekun Jiang; Xuehui Wang; Yan Wang 033; Xiaokang Yang 001; Wei Shen 002 (AAAI, 2024)

EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting. - Zekun Jiang; Wei Dai; Qu Wei; Ziyuan Qin 001; Kang Li 004; Le Zhang 004 (BCB, 2024)

Domain-Adaptive Semantic Segmentation Emerges From Vision-Language Supervised Domain-Debiased Self-Training. - Huayu Wang; Zekun Jiang; Lingxi Xie; Dongsheng Jiang; Wei Shen 002; Qi Tian 001 (ICASSP, 2024)

Rough Set improved Therapy-Based Metaverse Assisting System. - Jin Cao; Yanhui Jiang; Chang Yu 002; Feiwei Qin; Zekun Jiang (MetaCom, 2024)

TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation. - Zekun Jiang; Dongjie Cheng; Ziyuan Qin 001; Jun Gao; Qicheng Lao; Abdullaev Bakhrom Ismoilovich; Gayrat Urazboev; Yuldashov Elyorbek; Bekchanov Habibullo; Defu Tang; Linjing Wei; Kang Li 004; et al. (Big Data Min. Anal., 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 001; Jun Gao; Qicheng Lao; Kang Li 004; Le Zhang 004 (CoRR, 2024)

Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets. - Yiyue Li; Guangwu Qian; Xiaoshuang Jiang; Zekun Jiang; Wen Wen; Shaoting Zhang 001; Kang Li 004; Qicheng Lao (IEEE Trans. Medical Imaging, 2024)

Consensus Synergizes With Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes. - Jiazhong Cen; Zekun Jiang; Lingxi Xie; Dongsheng Jiang; Wei Shen 002; Qi Tian 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Guiding Medical Vision-Language Models with Diverse Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations. - Kangyu Zhu; Ziyuan Qin 001; Huahui Yi; Zekun Jiang; Qicheng Lao; Shaoting Zhang 001; Kang Li 004 (NAACL (Long Papers), 2025)

Topological representation based on wavelet transform as a novel imaging biomarker for tumor diagnosis in ultrasound images: A comprehensive study. - Qu Wei; Si Zeng; Zekun Jiang; Fashu Xu; Shuhua Shi; Wen Wen; Ziyuan Qin 001; Zhenye Lou; Kang Li 004 (Comput. Methods Programs Biomed., 2025)

NuSegDG: Integration of heterogeneous space and Gaussian kernel for domain-generalized nuclei segmentation. - Zhenye Lou; Qing Xu 014; Zekun Jiang; Xiangjian He; Chenxin Li; Zhen Chen 013; Yi Wang 037; Maggie M. He; Wenting Duan (Knowl. Based Syst., 2025)

Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations. - Kangyu Zhu; Ziyuan Qin 001; Huahui Yi; Zekun Jiang; Qicheng Lao; Shaoting Zhang 001; Kang Li 004 (CoRR, 2025)

CT Radiomics-Based Explainable Machine Learning Model for Accurate Differentiation of Malignant and Benign Endometrial Tumors: A Two-Center Study. - Tingrui Zhang; Honglin Wu; Zekun Jiang; Yingying Wang; Rui Ye; Huiming Ni; Chang Liu; Jin Cao; Xuan Sun; Rong Shao; Xiaorong Wei; Yingchun Sun (CoRR, 2025)

E2MISeg: Enhancing edge-aware 3D medical image segmentation via feature progressive co-aggregation. - Lincen Jiang; Wenpin Xu; Xinyuan Zheng; Zitong Zhang; Zekun Jiang; Chong Jiang; Yanli Chen; Yi-Mu Ji 001; Shangdong Liu; Jianwei Liu; Jingyan Xu (Expert Syst. Appl., 2026)