Matthew Field

Matthew Field

Director of AI Medicine and Engineering. Electrical engineer and AI researcher working across federated learning, medical image analysis, robotics, and healthcare data systems.

An Improved Deep Learning Framework for MR-to-CT Image Synthesis with a New Hybrid Objective Function

Published in 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022

Authors: Sui Paul Ang, Son Lam Phung, Matthew Field, Mark Matthias Schira

Published in: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)

DOI / Publisher link: 10.1109/ISBI52829.2022.9761546

Keywords: Deep learning, Training, Visualization, Image synthesis, Computed tomography, Magnetic resonance, Linear programming, MR-to-CT image synthesis, deep learning, GAN, structural consistency, hybrid objective function

BibTeX: Download

Recommended citation: Sui Paul Ang, Son Lam Phung, Matthew Field, Mark Matthias Schira (2022). "An Improved Deep Learning Framework for MR-to-CT Image Synthesis with a New Hybrid Objective Function." 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1-5.
Download Paper | Download Bibtex