Xukun Zhang

According to our database, Xukun Zhang authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes.

Shijie Huang, Xukun Zhang, Zhiming Cui, He Zhang, Geng Chen, Dinggang Shen

IEEE Trans. Biomed. Eng., April, 2024

An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion.

Sharib Ali, Yamid Espinel, Yueming Jin, Peng Liu, Bianca Güttner, Xukun Zhang, Lihua Zhang, Thomas Dowrick, Matthew J. Clarkson, Shiting Xiao, Yifan Wu, Yijun Yang, Lei Zhu, Dai Sun, Lan Li, Micha Pfeiffer, Shahid Farid, Lena Maier-Hein, Emmanuel Buc, Adrien Bartoli

CoRR, 2024

2023

Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network.

Yimeng Yang, Dongdong Gu, Xukun Zhang, Zhongxiang Ding, Fei Gao, Zhong Xue, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Anatomical-Aware Point-Voxel Network for Couinaud Segmentation in Liver CT.

Xukun Zhang, Yang Liu, Sharib Ali, Xiao Zhao, Mingyang Sun, Minghao Han, Tao Liu, Peng Zhai, Zhiming Cui, Peixuan Zhang, Xiaoying Wang, Lihua Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge.

Shijie Huang, Geng Chen, Kaicong Sun, Zhiming Cui, Xukun Zhang, Peng Xue, Xuan Zhang, He Zhang, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2023

D-CONFORMER: Deformable Sparse Transformer Augmented Convolution for Voxel-Based 3D Object Detection.

Xiao Zhao, Liuzhen Su, Xukun Zhang, Dingkang Yang, Mingyang Sun, Shunli Wang, Peng Zhai, Lihua Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-scale 2.5D Integrated Model for False Positive Reduction in Abdominal Lymph Node Detection.

Changquan Lu, Kun Yu, Xukun Zhang, Wenxin Hu

Proceedings of the 2023 4th International Conference on Computing, 2023

2022

Anatomy-guided Multi-View Fusion Framework for Abdominal CT Multi-Organ Segmentation.

Zhongwei Yang, Haopeng Kuang, Xukun Zhang, Yang Liu, Peng Zhai, Lubin Chen, Lihua Zhang

Proceedings of the ICIGP 2022: The 5th International Conference on Image and Graphics Processing, Beijing, China, January 7, 2022

SU-UNet: A Novel Self-Updating Network for Hepatic Vessel Segmentation in CT Images.

Yang Liu, Xukun Zhang, Haopeng Kuang, Zhongwei Yang, Shichao Yan, Peng Zhai, Lihua Zhang

Proceedings of the ICIGP 2022: The 5th International Conference on Image and Graphics Processing, Beijing, China, January 7, 2022

2021

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images.

Xukun Zhang, Zhiming Cui, Changan Chen, Jie Wei, Jingjiao Lou, Wenxin Hu, He Zhang, Tao Zhou, Feng Shi, Dinggang Shen

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

2020

Temperature Compensation of Piezo-Resistive Pressure Sensor Utilizing Ensemble AMPSO-SVR Based on Improved Adaboost.RT.

Ji Li, Chentao Zhang, Xukun Zhang, Honglin He, Wenguang Liu, Caisen Chen

IEEE Access, 2020

Adaptive Weighted Loss Makes Brain Tumors Segmentation More Accurate in 3D MRI Volume.

Xukun Zhang, Wenxin Hu, Jianhua Cai

Proceedings of the BDE 2020: 2nd International Conference on Big Data Engineering, 2020