Ashkan Pakzad

I’m a PhD candidate at University College London as part of the i4health EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare. I’m a member of Satsuma Lab within the Centre for Medical Image Computing.

Interests
  • Medical Image Analysis
  • Deep Learning
Education
  • MRes Medical Imaging, 2019

    University College London

  • MSci Medical Physics, 2017

    University College London

Projects

Airway Transfer Network
The problem Chronic lung diseases, like idiopathic pulmonary fibrosis (IPF) are characterised by abnormal dilatation of the airways. Quantification of airway features on computed tomography (CT) can help characterise disease progression.
Airway Transfer Network
AirQuant - Quantification of airway tapering, analysis of chest X-ray CT
The goal of this project is to come up with a more objective method to measure the severity of structural lung diseases such as cystic fibrosis and idiopathic pulmonary fibrosis. In these diseases, the airways dilate and worsen with disease progression (bronchiectasis).
AirQuant - Quantification of airway tapering, analysis of chest X-ray CT
Improving X-ray CT images of the Antikythera Mechanism
The Antikythera Mechanism is best described as a 2000 year old ancient greek astronomical computer. Having laid on the sea for the majority of this time its bronze interior has corroded and calcified making it incredibly fragile.
Improving X-ray CT images of the Antikythera Mechanism