About me

Hi, I am Chaoxing Huang. I am a PhD graduate from the Chinese University of Hong Kong. I did my PhD under the supervision of Weitian Chen at CUHK Lab of AI in Radiology( CLAIR ). My PhD research was in deep learning and medical imaging, with particular focus on the application of deep learning in quantitative MRI (qMRI).

I am actively looking for research position in the industry, feel free to contact me.
chaoxing.huang@outlook.com

News

• 2025/07 I have passed my PhD thesis defense ! 🎓
• 2025/07 One paper is accepted to Magnetic Resonance in Medicine, a great honor to cooperate with my colleague Junru Zhong .
• 2025/05 I am going to have a digital poster at ISMRM 2025 at Honolulu, Hawaii (May 10th - May 15th), Let us catch up ! I am now on the job market and actively looking for R&D position in the industry, feel free to drop by.
• 2024/10 One paper is accepted to Quantitative Imaging in Medicine and Surgery.
• 2024/05 I am going to have a power pitch presentation and digital poster at ISMRM 2024 at Singapore (May 4th - May 9th), looking forward to catching up.
• 2023/10 One paper is accepted to Physics in Medicine & Biology(IF = 3.5, Acceptance Rate = 33%).
• 2023/04 One paper is accepted to EMBC 2023 (Oral)
• 2022/11 One paper is accepted to Physics in Medicine & Biology(IF = 4.174, Acceptance Rate = 34%).
• 2022/03 One paper is accepted to MIDL 2022 (Poster)

Selected Publications

• Utilizing 3D Fast Spin Echo Anatomical Imaging to Reduce the Number of Contrast Preparations in T_{1ρ} Quantification of Knee Cartilage Using Learning-Based Methods Accepted by Magnetic Resonance in Medicine
  Junru Zhong, Chaoxing Huang, Ziqiang Yu, Fan Xiao, Siyue Li, Tim-Yun Michael Ong, Ki-Wai Kevin Ho, Queenie Chan, James F. Griffith, Weitian Chen

• Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior Quantitative Imaging in Medicine and Surgery
  Chaoxing Huang, Ziqiang Yu, Zijian Gao, Qiuyi Shen, Queenie Chan, Vincent Wai-Sun Wong, Winnie Chiu-Wing Chu, Weitian Chen

• A Systematic Post-Processing Approach for Quantitative T1ρ Imaging of Knee Articular Cartilage Preprint
  Junru Zhong, Yongcheng Yao, Fan Xiao, Tim-Yun Michael Ong, Ki-Wai Kevin Ho, Siyue Li, Chaoxing Huang, Queenie Chan, James F. Griffith, Weitian Chen

• An uncertainty aided framework for learning based liver T1ρ mapping and analysis Physics in Medicine and Biology
  Chaoxing Huang, Vincent Wai-Sun Wong, Queenie Chan, Winnie Chiu-Wing Chu, Weitian Chen

• Uncertainty-weighted Multi-tasking for T1ρ and T2 Mapping in the Liver with Self-supervised Learning EMBC 2023
  Chaoxing Huang, Yurui Qian, Jian Hou, Baiyan Jiang, Queenie Chan, Vincent Wai-Sun Wong, Winnie Chiu-Wing Chu, Weitian Chen

• Uncertainty-Aware Self-supervised Neural Network for Liver $T_ {1\rho}$ Mapping with Relaxation Constraint Physics in Medicine and Biology
  Chaoxing Huang, Yurui Qian, Simon Chun-Ho Yu, Jian Hou, Baiyan Jiang, Queenie Chan,Vincent Wai-Sun Wong, Winnie Chiu-Wing Chu, Weitian Chen

• Breathing Freely: Self-supervised Liver T1rho Mapping from A Single T1rho-weighted Image Medical Imaging with Deep Learning (MIDL) 2022
  Chaoxing Huang, Yurui Qian, Jian Hou, Baiyan Jiang,Queenie Chan, Vincent Wai-Sun Wong, Winnie Chiu-Wing Chu, Weitian Chen

Work experience

• 2021/02-2021/05 Image processing engineer at South Surveying and Mapping Ltd, Guangzhou

Educations

• 2018-2020 Master in Machine Learning and Computer Vision (with commendation), The Australian National University
• 2014-2018 Bachelor of Science in Opto-electronic, South China Normal University