About Me

I am currently a lecturer at the School of Artificial Intelligence, Shenzhen Polytechnic University, focusing on Medical Image Analysis, 3D Reconstruction, and related AI technologies. Prior to this, I worked as a Senior Algorithm Engineer (the research talent hub scheme) at Telefield Medical Image Limited in Hong Kong. I received my PhD and MSc degrees from the Department of Electronic and Information Engineering at The Hong Kong Polytechnic University (PolyU-EIE) in 2023 and 2019, respectively, under the supervision of Dr. Frank H. F. Leung, Prof. Yong-Ping Zheng, and Dr. Steve S. H. Ling (UTS). I obtained my B.Eng degree from South China University of Technology (SCUT) in 2017.

This is a preliminary version of my personal website. More information and functions will be released soon.

Contact me

Email: zixun.huang@connect.polyu.hk

Wechat: Jackson_HZX

News

Jul. 2024: I will join College of Artificial Intelligence, Shenzhen Polytechnic University in Sept. 2024.

Feb. 2024: One paper got accepted by IEEE TMI entitled “Landmark Localization from Medical Images with Generative Distribution Prior”

Jan. 2023: I am overjoyed to announce that my daughter has joined our family! Her arrival has brought immense happiness and love into our lives. We are excited to begin this wonderful journey together as a family.

Professional Activities

Reviewer

Medical Image Analysis (JCR: Q1), Journal of Biomedical and Health Informatics (JCR: Q1), Artificial Intelligence in Medicine (JCR: Q1), Scientific Data (JCR: Q1), Neurocomputing (JCR: Q1), Scientific Reports (JCR: Q1), Knowledge and Information Systems (JCR: Q2), Machine Vision and Applications (JCR: Q2), Signal, Image and Video Processing (JCR: Q2).

Publications

Preprint

• Morphological-consistent Diffusion Network for Ultrasound Coronal Image Enhancement
  Yihao Zhou, Zixun Huang, Timothy Tin-Yan Lee, Chonglin Wu, Kelly Ka-Lee Lai, De Yang, Alec Lik-hang Hung, Jack Chun-Yiu Cheng, Tsz-Ping Lam, Yong-ping Zheng.
  arXiv:2409.16661

Journal Papers

• Landmark Localization from Medical Images with Generative Distribution Prior
  Zixun Huang, Rui Zhao, Frank H. F. Leung, et al.
  IEEE Transactions on Medical Imaging (JCR：Q1, IF(2023)=10.6), vol. 43, no. 7, pp. 2679-2692, July 2024, doi: 10.1109/TMI.2024.3371948.

• Joint Spine Segmentation and Noise Removal From Ultrasound Volume Projection Images With Selective Feature Sharing
  Zixun Huang, Rui Zhao, Frank H. F. Leung, et al.
  IEEE Transactions on Medical Imaging (JCR：Q1, IF(2023)=10.6), vol. 41, no. 7, pp. 1610-1624, July 2022.

• Automatic Assessment of Ultrasound Curvature Angle for Scoliosis Detection Using 3-D Ultrasound Volume Projection Imaging
  Sunetra Banerjee, Zixun Huang, Juan Lyu, et al.
  Ultrasound in Medicine & Biology (JCR：Q2) 50.5 (2024): 647-660.

• Spatial-Temporal Graphs Plus Transformers for Geometry-Guided Facial Expression Recognition
  Rui Zhao, Tianshan Liu, Zixun Huang, Daniel PK Lun, Kin-Man Lam
  IEEE Transactions on Affective Computing (2022) (JCR：Q1).

• Ultrasound spine image segmentation using multi-scale feature fusion Skip-Inception U-Net (SIU-Net)
  Sunetra Banerjee, Juan Lyu, Zixun Huang, Frank HF Leung, et al.
  Biocybernetics and Biomedical Engineering 42 (JCR：Q1), no. 1 (2022): 341-361.

• Dual-task ultrasound spine transverse vertebrae segmentation network with contour regularization
  Juan Lyu, Xiaojun Bi, Sunetra Banerjee, Zixun Huang, Frank HF Leung, Timothy Tin-Yan Lee, De-De Yang, Yong-Ping Zheng, Sai Ho Ling
  Computerized Medical Imaging and Graphics 89 (2021) (JCR：Q1): 101896.

• Light-convolution dense selection u-net (Lds u-net) for ultrasound lateral bony feature segmentation
  Sunetra Banerjee, Juan Lyu, Zixun Huang, Hung Fat Frank Leung, et al.
  Applied Sciences 11, no. 21 (2021) (JCR：Q3): 10180.

• Geometry-aware facial expression recognition via attentive graph convolutional networks
  Rui Zhao, Tianshan Liu, Zixun Huang, Daniel Pak-Kong Lun, Kenneth KM Lam
  IEEE Transactions on Affective Computing (2021) (JCR：Q1).

• VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images
  Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat, (Zixun Huang), et al.
  Medical Image Analysis 73 (2021) (JCR：Q1): 102166.

Conference Papers

• Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise
  Zixun HUANG, Li-Wen Wang, Frank H. F. Leung, et al.
  IEEE International Conference on SMC (CCF: C), Toronto, ON, Canada, 2020, pp. 1566-1571.

• DA-GAN: Learning Structured Noise Removal in Ultrasound Volume Projection Imaging for Enhanced Spine Segmentation
  Zixun HUANG, Rui Zhao, Frank H. F. Leung, et al.
  Proceedings of The IEEE ISBI (EI), pp. 770-774, 2021.

• Structure-Enhanced Attentive Learning for Spine Segmentation from Ultrasound Volume Projection Images
  Rui Zhao, Zixun HUANG, Tianshan Liu, et al.
  Proceedings of The IEEE ICASSP (CCF: B), pp. 1195-1199, 2021. (The authors equally contribute to this paper.)

• A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment
  Hao Xie, Zixun HUANG, Frank HF Leung, et al.
  IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF: B), pp. 1567-1574, IEEE, 2023.

• Satr: A Structure-affinity Attention-based Transformer Encoder For Spine Segmentation
  Hao Xie, Zixun HUANG, Frank HF Leung, et al.
  IEEE ISBI 2024 (EI) (Accepted).

Patents

• 发明专利：基于手持超声的实时腹直肌分割和3D重建方法
  案号： PCN2312079GW