Yongpei Zhu

According to our database, Yongpei Zhu authored at least 16 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer.

Yongpei Zhu, Shi Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

A novel unsupervised learning model for diffeomorphic image registration.

Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

A New Unsupervised Learning Method for 3D Deformable Medical Image Registration.

Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

New loss functions for medical image registration based on VoxelMorph.

Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Csrgan: Medical Image Super-Resolution Using A Generative Adversarial Network.

Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

BCAU-Net: A Novel Architecture with Binary Channel Attention Module for MRI Brain Segmentation.

Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Classification Mechanism of Convolutional Neural Network for Facial Expression Recognition.

Yongpei Zhu, Hongwei Fan, Kehong Yuan

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Deformable Registration Using Average Geometric Transformations for Brain MR Images.

Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan

CoRR, 2019

Facial Expression Recognition Research Based on Deep Learning.

Yongpei Zhu, Hongwei Fan, Kehong Yuan

CoRR, 2019

The Generation and Application of Medical Image Grid Based on Differential Geometric Features.

Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan

CoRR, 2019

Efforts estimation of doctors annotating medical image.

Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Mingwang Zhu, Jirang Sun, Weiling Zhao, Xiaobo Zhou, Kehong Yuan

CoRR, 2019

Effects of Differential Geometry Parameters on Grid Generation and Segmentation of MRI Brain Image.

Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan

IEEE Access, 2019

A New Framework to Reduce Doctor's Workload for Medical Image Annotation.

Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Zhanyu Wang, Jirang Sun, Weiling Zhao, Xiaobo Zhou, Kehong Yuan

IEEE Access, 2019

2018

The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features.

Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan

CoRR, 2018

DASN: Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation.

Yang Deng, Yao Sun, Yongpei Zhu, Shuo Zhang, Mingwang Zhu, Kehong Yuan

CoRR, 2018

A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net.

Yang Deng, Yao Sun, Yongpei Zhu, Mingwang Zhu, Wei Han, Kehong Yuan

CoRR, 2018