Sir Mike Brady
FRS FREng FMedSci
Professor of Oncological Imaging
Research Summary
I look into the development of image analysis methods for quantitative analysis of medical images, specifically for a range of applications in cancer.
Biography
Sir Michael Brady was appointed half-time as Professor of Oncological Imaging in the Department of Oncology, having retired from his 25-year Professorship in Information Engineering in 2010. After obtaining degrees in mathematics, he worked in computing science, artificial intelligence, and engineering. He founded the Oxford University Robotics Group, but switched his interests to cancer image analysis in the early 1990s.
Apart from his Oxford research, Mike has founded a number of companies, including Matakina and ScreenPoint (mammographic image analysis), Mirada Medical (medical image fusion), and Perspectum Diagnostics (liver MRI).
He is a member of CRUK’s Science Committee and chairs the Multidisciplinary Expert Review Panel and the Royal Society Publications Board. He is a Fellow of the Royal Society.
Recent publications
-
A simple, open and extensible gating control unit for cardiac and respiratory synchronisation control in small animal MRI and demonstration of its robust performance in steady-state maintained CINE-MRI.
Journal article
Gilchrist S. et al, (2021), Magn Reson Imaging
-
RICE: A method for quantitative mammographic image enhancement.
Journal article
Janan F. and Brady M., (2021), Med Image Anal, 71
-
Tumour subregion analysis of colorectal liver metastases using semi-automated clustering based on DCE-MRI: Comparison with histological subregions and impact on pharmacokinetic parameter analysis.
Journal article
Franklin JM. et al, (2020), Eur J Radiol, 126
-
Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images.
Journal article
Bates R. et al, (2019), IEEE Trans Med Imaging, 38, 1 - 10
-
GIFTed Demons: deformable image registration with local structure-preserving regularization using supervoxels for liver applications.
Journal article
Papież BW. et al, (2018), J Med Imaging (Bellingham), 5

