J. Michael Brady
Sir Mike Brady | |
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Born |
John Michael Brady April 30, 1945[1] |
Fields | |
Institutions | |
Alma mater |
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Thesis | Just-non-cross varieties of groups (1970) |
Doctoral advisor | László György Kovács[2] |
Doctoral students | |
Known for | Kadir–Brady saliency detector[14] |
Notable awards |
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Website |
(John) Michael Brady (born 30 April 1945)[1] FRS[16] is an Emeritus Professor of Oncological Imaging at the University of Oxford and a Fellow of Keble College, Oxford. He was formerly BP Professor of Information Engineering at Oxford from 1985 to 2010[21][22] and a Senior Research Scientist in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)[21] in Cambridge, Massachusetts.
Education
Brady was educated in the School of Mathematics at the University of Manchester where he was awarded a first class Bachelor of Science degree in Mathematics in 1966 followed by a Master of Science degree in 1968.[1] He went on to study at the Australian National University where he was awarded a Doctor of Philosophy degree in 1970[23] for research into group theory supervised by László György Kovács.[2]
Research and career
Brady is an authority in the field of image analysis,[24][25][26] with an emphasis on medical image analysis.[27]He has contributed algorithms for image segmentation, image registration[28] and feature detection. He developed an influential mathematical model of the fluence of X-rays through the female breast as a basis for analysis of mammographic images.[16] This work was done in collaboration with Ralph Highnam[5][6] and pioneered an entirely novel “physics-based” approach.[19] With Timor Kadir and Andrew Zisserman he introduced the influential Kadir–Brady saliency detector[14] at the European Conference on Computer Vision in 2004. During his research career, Brady has supervised several students including David Forsyth[4] and Demetri Terzopoulos.[2][12]
Outside of academia, Brady has been involved with numerous start-up companies in the field of medical imaging[16] including Matakina and ScreenPoint (mammographic image analysis), Mirada Medical (medical image fusion)[6] and Perspectum Diagnostics[29] (magnetic resonance imaging of the liver).[20]
Awards and honours
Brady was elected a Fellow of the Royal Society (FRS) in 1997.[16] His certificate of election reads:
“ | Distinguished for his work in artificial intelligence and its application to the visual guidance of robot manipulators and vehicles. He was one of the first information scientists to apply (David) Marr's ideas on human vision to the engineering problems of computer vision. His pioneer work on the automatic transcription of handwritten coding sheets demonstrated the need for visual representations at many levels of description, and led to the first working theory of the early visual processes involved in human reading. His work on the shapes of three-dimensional surfaces imaginatively combined ideas from group theory, descriptive differential geometry and the optimal interpretation of noisy measurements. His work in robot vision has demonstrated the paramount importance of computational stability in the algorithms used for integrating the information from successive images, and has shown how the performance of conventional stereo algorithms can be equalled in efficiency and reliability by the matching of distinctive curves. He has recently applied the techniques of stereo and photometric stereo to the monitoring of glaucoma development, and is actively involved in other medical applications.
Through the work of his research groups, in both the UK and the USA, he has been a pioneer in the push towards the hardware demonstration of robots with diverse sensory capabilities. In this way, and through the scientific journals he has founded and/or edited, he has exerted a major influence over the development of robotics and artificial intelligence, particularly robot vision.[17] |
” |
Brady was knighted in the 2004 New Year Honours[18] for services to engineering. He delivered the Turing Lecture in 2009.[20] He was also awarded the Faraday Medal from the Institution of Electrical Engineers (IEE) in 2000,[1] the Millennium Medal from the Institute of Electrical and Electronics Engineers (IEEE) in 2000.[1] He is also an elected Fellow of the Academy of Medical Sciences (FMedSci)[19] and the Royal Academy of Engineering (FREng).[1][15]
References
- 1 2 3 4 5 6 7 BRADY, Sir (John) Michael. Who's Who 2016 (online Oxford University Press ed.). A & C Black, an imprint of Bloomsbury Publishing plc. (subscription required)
- 1 2 3 4 5 6 7 8 9 10 11 J. Michael Brady at the Mathematics Genealogy Project
- ↑ Bai, Wenjia (2010). Respiratory motion correction in positron emission tomography (DPhil thesis). University of Oxford.
- 1 2 Forsyth, David A. (1988). Colour constancy and its applications in machine vision (DPhil thesis). University of Oxford. OCLC 69733640.
- 1 2 Highnam, Ralph Philip (1992). Model-based enhancement of mammographic images (DPhil thesis). University of Oxford. OCLC 35799324.
- 1 2 3 "Sir Michael Brady. GCS and Mirada Ltd" (PDF). Archived from the original (PDF) on 2016-03-29.
- ↑ Janan, Faraz (2013). Shape analysis in mammograms (DPhil thesis). University of Oxford.
- ↑ Janan, Faraz; Brady, Michael (2014). "Shape Description and Matching Using Integral Invariants on Eccentricity Transformed Images". International Journal of Computer Vision 113 (2): 92–112. doi:10.1007/s11263-014-0773-x.
- ↑ Noble, Julia Alison (1989). Descriptions of image surfaces (DPhil thesis). University of Oxford.
- ↑ Smallbone, Kieran (2007). The role of acidity in tumour development (DPhil thesis). University of Oxford. OCLC 500385396.
- ↑ Smith, Stephen Mark (1992). Feature based image sequence understanding (DPhil thesis). University of Oxford.
- 1 2 Terzopoulos, Demetri (1984). Multiresolution computation of visible-surface representations (PhD thesis). Massachusetts Institute of Technology. OCLC 12379782.
- ↑ Woolrich, Mark (2001). Model-based approaches to FMRI analysis (DPhil thesis). University of Oxford.
- 1 2 Kadir, Timor; Zisserman, Andrew; Brady, Michael (2004). "An Affine Invariant Salient Region Detector" 3021: 228–241. doi:10.1007/978-3-540-24670-1_18. ISSN 0302-9743.
- 1 2 "Brady, Professor Sir (John) Michael KBE FREng FRS FMedSci: 1992". London: raeng.org.uk. Archived from the original on 2016-03-29.
- 1 2 3 4 5 "Sir Michael Brady FMedSci FREng FRS". London: Royal Society. Archived from the original on 2015-11-17. One or more of the preceding sentences incorporates text from the royalsociety.org website where:
“All text published under the heading 'Biography' on Fellow profile pages is available under Creative Commons Attribution 4.0 International License.” --Royal Society Terms, conditions and policies at the Wayback Machine (archived September 25, 2015)
- 1 2 "Certificate of election EC/1997/02: Brady, John Michael". London: Royal Society. Archived from the original on 2016-03-29.
- 1 2 The London Gazette: (Supplement) no. 57155. pp. 1–28. 2003-12-31.
- 1 2 3 "Professor Sir Michael Brady FRS FREng FMedSci". acmedsci.ac.uk. Archived from the original on 2016-03-29.
- 1 2 3 "Professor Sir Michael Brady". London: British Computer Society. Archived from the original on 2016-03-29.
- 1 2 "Professor Michael Brady FRS FEng, BP Professor of Information Engineering". robots.ox.ac.uk. Archived from the original on 2015-12-20.
- ↑ "Mike Brady: Oncological Image Analysis". oncology.ox.ac.uk. Archived from the original on 2016-03-11.
- ↑ Brady, John Michael (1970). Just-non-cross varieties of groups (PhD thesis). Australian National University. OCLC 222121274.
- ↑ J. Michael Brady's publications indexed by the Scopus bibliographic database, a service provided by Elsevier.
- ↑ J. Michael Brady from the Association for Computing Machinery (ACM) Digital Library
- ↑ Zhang, Y.; Brady, J.M.; Smith, S. (2001). "Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm". IEEE Transactions on Medical Imaging 20 (1): 45–57. doi:10.1109/42.906424.
- ↑ Woolrich, Mark W.; Ripley, Brian D.; Brady, Michael; Smith, Stephen M. (2001). "Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data". NeuroImage 14 (6): 1370–1386. doi:10.1006/nimg.2001.0931.
- ↑ Jenkinson, M (2002). "Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images". NeuroImage 17 (2): 825–841. doi:10.1006/nimg.2002.1132.
- ↑ "Perspectum diagnostics: Meet our team". perspectum-diagnostics.com. Archived from the original on 2016-03-24.
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