Deep learning in Magnetic Resonance and PET imaging

Recently, machine learning based algorithms have become the state of art methods in image classification. These machine learning methods are mostly driven by the advancement in a specific type of artificial neural network called convolutional neural networks. Medical image analysis is an emerging area for the application of deep learning. In this talk, I will introduce some of the applications of deep learning in medical imaging specifically Magnetic Resonance imaging. The talk will cover application of deep learning for brain tumor segmentation and application to MR/PET attenuation correction and MR image artefact correction.