Francis Xiatian Zhang
I am currently a research associate at the University of Edinburgh. I am also a PhD candidate (Supervisors: Dr. Hubert P. H. Shum and Dr. Noura Al Moubayed) in Computer Science at Durham University. My research focuses on integrating Geometric Information into computer vision applications, particularly in the analysis of Biomedical Engineering videos. Prior to this, I received my MRes degree from King's College London, my MSc degree from the University of Southampton, and my Bachelor's degree from Beijing University of Chinese Medicine.
Email / University Profile / Google Scholar / Linkedin / Twitter
News
- 11/2024, I begin to serve as a research asscoiate at the Univerisity of Edingbugth (PI: Dr Mohsen Khadem).
- 06/2024, our recent paper Depth-Aware Endoscopic Video Inpainting was accepted MICCAI2024.
- 12/2023, our recent paper Pose-based Tremor Type and Level Analysis for Parkinson's Disease from Video was accepted for publication in the International Journal of Computer Assisted Radiology and Surgery.
- 11/2023, I begin working as a Research Assistant on the project Course Development in Edge Computing and Analytics 2.0 (PI: Dr Anish Jindal).
- 08/2023, our paper Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI is accepted by ICONIP 2023.
Recent Projects
My recent research emphasizes computer-assisted intervention and healthcare education, concentrating on enhancing clinical and educational practices through the direct application of advanced machine learning.
Additionally, I maintain an interest in clinical outcome analysis, exploring both patient outcomes and the mechanisms underpinning them.
I am incredibly thankful to my supervisors and collaborators and enjoy exploring new domains through collaborations.
If you have questions or would like to work together, please feel free to reach out through email at
xiatian.zhang@durham.ac.uk.
Surgical workflow anticipation, crucial for computer-assisted interventions like robotic surgery, predicts subsequent steps and instruments. Current methods lack expressive power for instrument relationships, so we propose a graph representation learning framework to robustly represent instrument motions. To the best of our knowledge, we are the first to introduce a spatial-temporal graph representation into surgical workflow anticipation.
Grant Involved
- Course Development in Edge Computing and Analytics 2.0
Research Assistant, UK-Egypt Trans-National Education (TNE) Grant: £30,000 (PI: Dr Anish Jindal)
Received from The British Councils, UK, 2022-2024 - Pose Estimation for Health Professional Education: Development of an Objective Computerized Approach for Measuring and Assessing Technical Competencies in Nursing
Research Assistant, Northumbria University Application Seed Funding Scheme: £16,428 (PI: Dr Merryn Constable)
Received from Northumbria University, UK, 2022-2022
Research
My previous research can be primarily categorized into three parts: Computer-assisted Intervention, Clinical Outcome Analysis, and Evidence-based Medicine. Below are some of my selected publications. A complete list of my publications can be found on my Google Scholar page.
Conference Papers:
- Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Oral Presentation
Francis Xiatian Zhang, Sisi Zheng, Hubert P. H. Shum, Haozheng Zhang, Nan Song, Mingkang Song and Hongxiao Jia
ICONIP 2023 | paper | arXiv | code - Towards Graph Representation Learning Based Surgical Workflow Anticipation
Oral Presentation
Francis Xiatian Zhang, Noura Al Moubayed and Hubert P. H. Shum
BHI 2022 | paper | arXiv | code | video - Pose-Based Tremor Classification for Parkinson's Disease Diagnosis from Video
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang and Hubert P. H. Shum
MICCAI 2022 | paper | arXiv | code
Journal Papers:
Experience
- Research Assistant at Durham University, 10/2023-11/2023;7/2024-9/2024.
Project: Course Development in Edge Computing and Analytics 2.0
PI: Dr Anish Jindal - Demonstrator at Durham University, 11/2021-6/2024.
Undergraduate Module: 1st Year Module: Computational Thinking, 2nd Year Module: Data Science,
Postgraduate Module: Programming for Data Science, Text Mining and Language Analytics - Student Helper at Durham University, 08/2022-09/2022.
The 21st annual ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA 2022) - Research Assistant at Northumbria University, 04/2022-07/2022.
Project: Pose Estimation for Health Professional Education: Development of an Objective Computerized Approach for Measuring and Assessing Technical Competencies in Nursing
PI: Dr Merryn Constable