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Zekun Jiang
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2020 – today
- 2024
- [j9]Jiazhong Cen
, Zekun Jiang, Lingxi Xie
Consensus Synergizes With Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes. IEEE Trans. Circuits Syst. Video Technol. 34(2): 1086-1097 (2024) - [j8]Yiyue Li
Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets. IEEE Trans. Medical Imaging 43(1): 416-426 (2024) - [c10]Chongjie Si, Zekun Jiang, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen:
Partial Label Learning with a Partner. AAAI 2024: 15029-15037 - [c9]Zekun Jiang
EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting. BCB 2024: 71:1 - [c8]Huayu Wang, Zekun Jiang, Lingxi Xie, Dongsheng Jiang, Wei Shen, Qi Tian:
Domain-Adaptive Semantic Segmentation Emerges From Vision-Language Supervised Domain-Debiased Self-Training. ICASSP 2024: 3930-3934 - [c7]Jin Cao, Yanhui Jiang, Chang Yu, Feiwei Qin, Zekun Jiang:
Rough Set improved Therapy-Based Metaverse Assisting System. MetaCom 2024: 358-364 - [i7]Zekun Jiang
Increasing SAM Zero-Shot Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation. CoRR abs/2402.15759 (2024) - [i6]Jin Cao, Yanhui Jiang, Chang Yu, Feiwei Qin, Zekun Jiang
Rough Set improved Therapy-Based Metaverse Assisting System. CoRR abs/2406.04465 (2024) - [i5]Zhenye Lou, Qing Xu, Zekun Jiang
NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation. CoRR abs/2408.11787 (2024) - [i4]Zekun Jiang, Wei Dai, Qu Wei, Ziyuan Qin, Kang Li, Le Zhang:
EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting. CoRR abs/2410.17343 (2024) - 2023
- [j7]Yiyue Li
Self-supervised anomaly detection, staging and segmentation for retinal images. Medical Image Anal. 87: 102805 (2023) - [j6]Jiazeng Wang, Junqi Gao
From Model to Algorithms: Distributed Magnetic Sensor System for Vehicle Tracking. IEEE Trans. Ind. Informatics 19(3): 2963-2972 (2023) - [j5]Jun Gao
Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry. IEEE J. Biomed. Health Informatics 27(10): 4914-4925 (2023) - [c6]Zekun Jiang
Pre-Trained Tabular Transformer for Real-Time, Efficient, Stable Radiomics Data Processing: A Comprehensive Study. HealthCom 2023: 276-281 - [c5]Ruchun Jia
Research on Clustering Detection Method for Security Attack Behaviors Based on Air Traffic Control Network. HealthCom 2023: 282-287 - [c4]Tongkun Guan, Wei Shen, Xue Yang, Qi Feng, Zekun Jiang, Xiaokang Yang:
Self-supervised Character-to-Character Distillation for Text Recognition. ICCV 2023: 19416-19427 - [c3]Xun Deng
A contactless automated dynamic monitoring method for organoid morphology on the time axis. ICDM (Workshops) 2023: 412-417 - [i3]Huahui Yi, Ziyuan Qin, Qicheng Lao, Wei Xu, Zekun Jiang
Towards General Purpose Medical AI: Continual Learning Medical Foundation Model. CoRR abs/2303.06580 (2023) - [i2]Dongjie Cheng, Ziyuan Qin, Zekun Jiang
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes. CoRR abs/2305.00035 (2023) - [i1]Chongjie Si, Zekun Jiang, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen:
Partial Label Learning with a Partner. CoRR abs/2312.11034 (2023) - 2022
- [j4]Siyi Xun
Generative adversarial networks in medical image segmentation: A review. Comput. Biol. Medicine 140: 105063 (2022) - [j3]Jiazeng Wang, Zekun Jiang, Junqi Gao
Frequency Characteristics Analysis for Magnetic Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j2]Qingbo Kang
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning. Medical Image Anal. 79: 102443 (2022) - [c2]Huahui Yi, Wei Xu, Zekun Jiang
OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss. DFUC@MICCAI 2022: 31-39 - [c1]Shiyi Du, Qicheng Lao
Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction. MICCAI (2) 2022: 56-65 - 2021
- [j1]Zekun Jiang
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 34(5): 1073-1085 (2021)
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