Research Engineer at The Machine Learning Lab mainly working in computer vision and deep learning. Has strong experience in deep learning, and applying machine learning techniques to medical domain and healthcare. Current projects:
CardioVision: a deep learning-based solution for prediction of the stenosis level on MPR images of coronary artery. The project won first place at Microsoft AI for Good Idea Challenge .
WSMIS: a method of weakly-supervised semantic segmentation that demonstrates its efficiency for detecting anomalous regions on chest X-rays.