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, anatomical structure segmentation and/or artificial generation of computed tomography images.
Academic Qualifications
Bachelor Degree in Biomedical Engineering, Informatics Engineering, Computer Science, or related;
Minimum profile required
- Bachelor grade point average equal to or greater than 14/20;- Experience in computer vision and/or deep learnin
Preference factors
- Experience in Python and PyTorch/Keras;
Application Period
Since 16 Feb 2024 to 29 Feb 2024
[Closed]
Centre
Biomedical Engineering Research