Computer Vision in Medical Imaging
[Closed]
Work description
Development of strategies for the automatic analysis of computed tomography images to improve the prediction of coronary artery disease (CAD). The work plan of this grant consists of the development of deep learning methods for the prediction of CAD, namely through the development of automatic methods for the detection of calcifications, coronary artery segmentation and/or artificial generation of computed tomography images.
Minimum profile required
- Bachelor Degree in Biomedical Engineering, Informatics Engineering, Computer Science, or related;- Bachelor grade point average equal to or greater than 14/20;- Experience in computer vision and/or deep learning
Preference factors
- Experience in Python and PyTorch/Keras; - Willingness to pursue an MSc thesis in the area.
Application Period
Since 17 Aug 2023 to 11 Sep 2023
[Closed]
Centre
Biomedical Engineering Research