Xu Chen

According to our database, Xu Chen authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

SinoSynth: A Physics-Based Domain Randomization Approach for Generalizable CBCT Image Enhancement.

Yunkui Pang, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022

Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation.

Xu Chen, Tianshu Kuang, Hannah H. Deng, Steve H. Fung, Jaime Gateno, James J. Xia, Pew-Thian Yap

IEEE Trans. Medical Imaging, 2022

Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer.

Yunkui Pang, Xu Chen, Yunzhi Huang, Pew-Thian Yap, Jun Lian

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

2021

Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation.

Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Pew-Thian Yap, James J. Xia, Dinggang Shen

IEEE Trans. Medical Imaging, 2021

Estimating Reference Bony Shape Models for Orthognathic Surgical Planning Using 3D Point-Cloud Deep Learning.

Deqiang Xiao, Chunfeng Lian, Han Deng, Tianshu Kuang, Qin Liu, Lei Ma, Daeseung Kim, Yankun Lang, Xu Chen, Jaime Gateno, Steve Guo-Fang Shen, James J. Xia, Pew-Thian Yap

IEEE J. Biomed. Health Informatics, 2021

Semi-Supervised Face Frontalization in the Wild.

Zhihong Zhang, Ruiyang Liang, Xu Chen, Xuexin Xu, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock

IEEE Trans. Inf. Forensics Secur., 2021

Diverse data augmentation for learning image segmentation with cross-modality annotations.

Xu Chen, Chunfeng Lian, Li Wang, Hannah H. Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia, Pew-Thian Yap

Medical Image Anal., 2021

A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.

Deqiang Xiao, Hannah H. Deng, Tianshu Kuang, Lei Ma, Qin Liu, Xu Chen, Chunfeng Lian, Yankun Lang, Daeseung Kim, Jaime Gateno, Steve Guo-Fang Shen, Dinggang Shen, Pew-Thian Yap, James J. Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Skull Segmentation from CBCT Images via Voxel-Based Rendering.

Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection.

Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.

Xu Chen, James J. Xia, Dinggang Shen, Chunfeng Lian, Li Wang, Hannah H. Deng, Steve H. Fung, Dong Nie, Kim-Han Thung, Pew-Thian Yap, Jaime Gateno

IEEE Trans. Medical Imaging, 2020

2019

Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network.

Zhihong Zhang, Xu Chen, Beizhan Wang, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock

IEEE Trans. Image Process., 2019

A graph-based approach to automated EUS image layer segmentation and abnormal region detection.

Xu Chen, Yiqun Hu, Zhihong Zhang, Beizhan Wang, Lichi Zhang, Fei Shi, Xinjian Chen, Xiaoyi Jiang

Neurocomputing, 2019

2018

Recovering variations in facial albedo from low resolution images.

Xu Chen, Zhihong Zhang, Beizhan Wang, Guosheng Hu, Edwin R. Hancock

Pattern Recognit., 2018

2016

Computing with viruses.

Xu Chen, Mario J. Pérez-Jiménez, Luis Valencia-Cabrera, Beizhan Wang, Xiangxiang Zeng

Theor. Comput. Sci., 2016