Ashkan Pakzad
University College London
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
News
Projects
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.
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).
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.
Publications
(2023).
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.
arXiv.
(2023).
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.
arXiv.
(2022).
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis.
DGM4MICCAI2022.
(2022).
Radiology of Bronchiectasis.
Clinics in Chest Medicine.
