I’m currently a deep learning research engineer at Medis Medical Imaging Systems, focusing on developing algorithmic solutions for cardiovascular image analysis. I obtained a PhD in Medical Image Analysis at Erasmus MC (University Medical Center Rotterdam) in Biomedical Imaging Group Rotterdam headed by Prof. Wiro Niessen. My PhD project aims to develop smart image guidance technologies for percutaneous coronary interventions, a kind of minimally invasive procedure for treating coronary artery diesease. During my PhD, I have been focusing on novel methods in medical imaging, computer vision and machine learning, and integrating them for innovative solutions for clinical problems in the workflow of cardiac interventions. My research interests include techniques of computer vision, machine learning and deep learning for medical imaging problems.

Education

• B.S. in Biological Sciences, Sun Yat-Sen University, 2009
• M.S. in Biomedical Engineering, ETH Zurich, 2013
  • Master thesis supervised by Prof. Orcun Goksel
• Ph.D in Computer Science (Medical Image Analysis), Erasmus University Rotterdam, 2020
  • Supervised by Dr. Theo van Walsum and Prof. Wiro Niessen

Featured Publications

Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning based Bayesian Filtering

Hua Ma, Ihor Smal, Joost Daemen, Theo van Walsum

Medical Image Analysis, 2020

Automatic Online Layer Separation for Vessel Enhancement in X-ray Angiograms for Percutaneous Coronary Interventions

Hua Ma, Ayla Hoogendoorn, Evelyn Regar, Wiro J. Niessen, Theo van Walsum

Medical Image Analysis, 2017

PCA-derived Respiratory Motion Surrogates from X-ray Angiograms for Percutaneous Coronary Interventions

Hua Ma, Gerardo Dibildox, Carl Schultz, Evelyn Regar, Theo van Walsum

International Journal of Computer Assisted Radiology and Surgery, 2015