Yan, Zhennan
- A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark
2022/02/28 by Yunhe Gao, Mu Zhou, Gao, Yunhe +9 · 8 citations
Medicine · Computer Science · #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection #COVID-19 diagnosis using AI
- DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images
2021/03/04 by Meng Ye, Ye, Meng, Mikael Kanski +13 · 3 citations
Medicine · Computer Science · #Medical Imaging Techniques and Applications #Advanced MRI Techniques and Applications #Medical Image Segmentation Techniques
- DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method
2022/06/14 by Qi Chang, Chang, Qi, Zhennan Yan +19 · 3 citations
Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #electronic engineering #information engineering
- How intelligent are convolutional neural networks?
2017/09/18 by Zhennan Yan, Yan, Zhennan, Xiang Sean Zhou +1 · 1 voice
Computer Science · #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques #Multimodal Machine Learning Applications #cs.CV
- TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
2022/03/21 by Di Liu, Yunhe Gao, Liu, Di +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