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Automated quantification of cardiac fat from MRI using machine learning
In this project we aim to implement a convolutional neural network to enable automated segmentation of the fat surrounding the heart from MR images.
Development of mathematical anthropomorphic voxel phantoms for the validation of DIRA
The project is suitable for medical physics, biomedical engineering, electrical engineering and computer science and engineering students.
Automatic segmentation of DECT images
The project is suitable for students with image processing background who want to develop or implement segmentation methods.
Implementation of weighted filtered backprojection in DIRA (Dual-energy Iterative...
The project is suitable for biomedical engineering, electrical engineering, and computer science and engineering students.