Research Opportunity
Computer Vision in Medical Imaging
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
MSc in Biomedical Engineering, Informatics Engineering, Computer Science, or related;
Minimum profile required
- MSc 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 21 Mar 2024 to 04 Apr 2024
Centre
Biomedical Engineering Research
Scientific Advisor
João Manuel Pedrosa
For more information: https://www.inesctec.pt/en/opportunities/computer-vision-in-medical-imaging-AE2024-0127
