8 citations · 17 across the 8 of their papers we have counts for
8 papers
Interpretable ODE-style Generative Diffusion Model via Force Field Construction
Weiyang Jin, Yongpei Zhu, Yuxi Peng
For a considerable time, researchers have focused on developing a method that establishes a deep connection between the generative diffusion model and mathematical physics. Despite…
Deformable Registration Using Average Geometric Transformations for Brain MR Images
Yongpei Zhu, Zicong Zhou, Guojun Liao +1
Accurate registration of medical images is vital for doctor's diagnosis and quantitative analysis. In this paper, we propose a new deformable medical image registration method base…
Facial Expression Recognition Research Based on Deep Learning
Yongpei Zhu, Hongwei Fan, Kehong Yuan
With the development of deep learning, the structure of convolution neural network is becoming more and more complex and the performance of object recognition is getting better. Ho…
Medical Image Super-Resolution Using a Generative Adversarial Network
Yongpei Zhu, Xuesheng Zhang, Kehong Yuan
During the growing popularity of electronic medical records, electronic medical record (EMR) data has exploded increasingly. It is very meaningful to retrieve high quality EMR in m…
Efforts estimation of doctors annotating medical image
Yang Deng, Yao Sun, Yongpei Zhu +8
Accurate annotation of medical image is the crucial step for image AI clinical application. However, annotating medical image will incur a great deal of annotation effort and expen…
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features
Yongpei Zhu, Zicong Zhou, Guojun Liao +2
Accurate segmentation of brain tissue in magnetic resonance images (MRI) is a diffcult task due to different types of brain abnormalities. Using information and features from multi…
A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net
Yang Deng, Yao Sun, Yongpei Zhu +3
Accurate segmentation of MR brain tissue is a crucial step for diagnosis,surgical planning, and treatment of brain abnormalities. However,it is a time-consuming task to be performe…
DASN:Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation
Yang Deng, Yao Sun, Yongpei Zhu +3
Accurate segmentation of MR brain tissue is a crucial step for diagnosis, surgical planning, and treatment of brain abnormalities. Automatic and reliable segmenta-tion methods are…