Hua Ma

I'm currently an AI engineer at Philips. I previously worked as a deep learning research engineer at Medis Medical Imaging, 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 (previously 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 disease. 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 imaging problems.

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

| PDF | DOI | arXiv |

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

| PDF | DOI |

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 (IJCARS), 2015

| PDF | DOI | Poster |

Dynamic Analysis of X-ray Angiography for Image-Guided Coronary Interventions.

Hua Ma

Erasmus University Rotterdam / Erasmus MC, 2020

ISBN: 978-94-6375-752-2

| PDF | RePub |