Portrait of Chaoxing Huang

Medical Imaging · Artificial Intelligence

Chaoxing Huang

Senior Engineer at the Hong Kong ASTRI · Ph.D. in Medical Imaging

I develop quantitative MRI and learning-based methods for robust medical image analysis, with a focus on T1ρ and T2 mapping of the liver and knee cartilage.

  • Hong Kong SAR, China
  • Ph.D. @ CUHK (CLAIR)
  • Quantitative MRI
  • Deep Learning
Google Scholar GitHub Publications

About me

Hi, I am Chaoxing Huang, a senior engineer at The Hong Kong Applied Science and Technology Research Institute (ASTRI). I did my Ph.D. under the supervision of Prof. Weitian Chen at the CUHK Lab of AI in Radiology (CLAIR).

Before that, I obtained my master’s degree in machine learning and computer vision from the Australian National University, and my bachelor’s degree in opto-electronic engineering from the South China Normal University.

News

  • Oct 2025I have joined the Hong Kong ASTRI as a Senior Engineer 💼
  • Jul 2025I have passed my Ph.D. thesis defense! 🎓
  • Jul 2025One paper is accepted to Magnetic Resonance in Medicine, a great honor to cooperate with my colleague Junru Zhong.
  • May 2025I presented a digital poster at ISMRM 2025 in Honolulu, Hawaii (May 10–15).
  • Oct 2024One paper is accepted to Quantitative Imaging in Medicine and Surgery.
  • May 2024I gave a power pitch presentation and a digital poster at ISMRM 2024 in Singapore (May 4–9).
  • Oct 2023One paper is accepted to Physics in Medicine & Biology (IF = 3.5, acceptance rate = 33%).
  • Apr 2023One paper is accepted to EMBC 2023 (Oral).
  • Nov 2022One paper is accepted to Physics in Medicine & Biology (IF = 4.174, acceptance rate = 34%).
  • Mar 2022One paper is accepted to MIDL 2022 (Poster).

Selected Publications

A complete and up-to-date list is available on Google Scholar.

Experience

  • Senior Engineer ASTRI (Hong Kong)2025 – present

    The Hong Kong Applied Science and Technology Research Institute.

  • Image Processing Engineer South Surveying and Mapping Ltd.Feb – May 2021

    Guangzhou, China.

Education

  • Ph.D. The Chinese University of Hong Kong

    Lab of AI in Radiology (CLAIR), advised by Prof. Weitian Chen.

  • M.Sc. in Machine Learning and Computer Vision The Australian National University2018 – 2020

    Graduated with commendation.

  • B.Sc. in Opto-Electronic Engineering South China Normal University2014 – 2018