Yunhe Gao
- UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
2021/07/02 by Yunhe Gao, Gao, Yunhe, Mu Zhou +3 · 9 citations
Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging
- Visual Prompt Tuning for Test-time Domain Adaptation
2022/10/10 by Yunhe Gao, Gao, Yunhe, Xingjian Shi +13 · 11 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark
2022/02/28 by Yunhe Gao, Gao, Yunhe, Mu Zhou +9 · 7 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection #COVID-19 diagnosis using AI
- Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
2023/06/04 by Yunhe Gao, Gao, Yunhe, Zhuowei Li +9 · 9 citations
Engineering · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging
- The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering
2025/02/05 by Zhuowei Li, Haizhou Shi, Li, Zhuowei +17 · 14 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Data Visualization and Analytics #Digital Media Forensic Detection #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG)
- Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification
2024/06/08 by Yunhe Gao, Difei Gu, Gao, Yunhe +5 · 5 citations
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
- Implicit In-context Learning
2024/05/23 by Zhuowei Li, Li, Zhuowei, Zihao Xu +12 · 4 citations
Psychology · #Innovative Teaching and Learning Methods
- Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
2021/03/30 by Yunhe Gao, Gao, Yunhe, Zhiqiang Tang +5 · 1 citation
Computer Science · #AI in cancer detection #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- CrossNorm and SelfNorm for Generalization under Distribution Shifts
2021/02/04 by Zhiqiang Tang, Tang, Zhiqiang, Yunhe Gao +9 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
2022/03/21 by Di Liu, Liu, Di, Yunhe Gao +18 · 1 citation
Computer Science · Engineering · Medicine · #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering