Zekun Jiang

Orcid: 0000-0002-3178-7761

According to our database1, Zekun Jiang authored at least 23 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation.
CoRR, 2024

Increasing SAM Zero-Shot Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation.
CoRR, 2024

Rough Set improved Therapy-Based Metaverse Assisting System.
Proceedings of the IEEE International Conference on Metaverse Computing, 2024

Domain-Adaptive Semantic Segmentation Emerges From Vision-Language Supervised Domain-Debiased Self-Training.
Proceedings of the IEEE International Conference on Acoustics, 2024

EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

Partial Label Learning with a Partner.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry.
IEEE J. Biomed. Health Informatics, October, 2023

From Model to Algorithms: Distributed Magnetic Sensor System for Vehicle Tracking.
IEEE Trans. Ind. Informatics, March, 2023

Self-supervised anomaly detection, staging and segmentation for retinal images.
Medical Image Anal., 2023

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes.
CoRR, 2023

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

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

Frequency Characteristics Analysis for Magnetic Anomaly Detection.
IEEE Geosci. Remote. Sens. Lett., 2022

Generative adversarial networks in medical image segmentation: A review.
Comput. Biol. Medicine, 2022

OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss.
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


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