Sir Michael Brady | |
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Born | John Michael Brady 30 April 1945 [1] |
Alma mater |
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Known for | Kadir–Brady saliency detector [2] |
Awards |
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Scientific career | |
Fields | |
Institutions | |
Thesis | Just-non-cross varieties of groups (1970) |
Doctoral advisor | László György Kovács [5] |
Doctoral students | |
Website | www |
Sir John Michael Brady (born 30 April 1945 [1] ) is an emeritus professor of oncological imaging at the University of Oxford. He has been a Fellow of Keble College, Oxford, since 1985 and was elected a foreign associate member of the French Academy of Sciences in 2015. [10] He was formerly BP Professor of Information Engineering at Oxford from 1985 to 2010 [11] [12] and a senior research scientist in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) [11] in Cambridge, Massachusetts, from 1980 to 1985.
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 [13] for research into group theory supervised by László György Kovács. [5]
Brady is an authority in the field of image analysis, [14] [15] [16] initially working on shape analysis while at MIT, then on robotics, but most of all with an emphasis on medical image analysis. [17] At MIT he worked on: the multiscale representation of the bounding contours of shapes (the curvature primal sketch), with Haruo Asada (Toshiba); two dimensional shapes (smoothed local symmetries), with Jon Connell; and the application of differential geometry to three-dimensional data, with Jean Ponce[ citation needed ] and Demetri Terzopoulos. He also worked on texture with Alan Yuille.[ citation needed ] He also worked with John M. Hollerbach, Tomàs Lozano-Pérez, and Matt Mason on robotics, who together published an early influential collection of articles and founded a seminal series of conferences.[ citation needed ]
Arriving in Oxford in 1985, he established the Robotics Laboratory and recruited Andrew Blake, Andrew Zisserman, Stephen Cameron, Hugh Durrant-Whyte, Lionel Tarassenko, Alison Noble, and David Murray.[ citation needed ] His initial focus was on mobile robotics, where he worked closely with Huosheng Hu Jan Grothusen, Stephen Smith, Mark Jenkinson, and Ian Reid.[ citation needed ] This was a collaboration with GEC Electrical Products and led in 1991 to the formation of Guidance Navigation Systems Ltd.[ citation needed ] The primary interest of this work was sensor data fusion and the real-time detection of obstacles in a robot vehicle's planned path, leading to a “slalom” manoeuvre to avoid it, or, if this was judged infeasible by the robot, a complete re-planning of the path to the goal.[ citation needed ]
Finishing a spell as head of engineering science (1989–84),
The factual accuracy of part of this article is disputed. The dispute is about Disputed.(December 2022) |
Brady was awarded an EPSRC Senior Fellowship, during which he spent two year-long periods in the INRIA Laboratory headed by Nicholas Ayache.[ citation needed ] Brady had begun to switch from robotics to medical imaging, specifically breast cancer, in 1989, following the death of his mother-in-law Dr. Irene Friedlander from the disease.[ citation needed ] For the past 29 years he has worked with Ralph Highnam, first supervising Ralph's thesis, then co-authoring a monograph Mammographic Image Analysis, [18] then co-founding Mirada Solutions Ltd and subsequently Volpara Health Technologies (ASX: VHT).[ citation needed ] Together, they developed an influential mathematical model of the fluence of X-rays through the female breast as a basis for analysis of mammographic images.[ citation needed ] This work was done in collaboration with Ralph Highnam and pioneered an entirely novel “physics-based” approach.[ citation needed ] This attracted the interest of Nico Karssemeijer and led to further collaborations and the company ScreenPoint bv co-founded by Mike and Nico.[ citation needed ]
Brady is the Interim President of the world's first Artificial Intelligence-based (AI) University: Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), in Abu Dhabi, United Arab Emirates. [19]
Brady's work in image analysis, specifically medical image analysis, has been wide-ranging and he has contributed algorithms for image segmentation, image registration and feature detection. With Timor Kadir and Andrew Zisserman he introduced the influential Kadir–Brady saliency detector [2] at the European Conference on Computer Vision in 2004. During his research career, Brady has supervised students including Alison Noble, [8] David Forsyth, [6] and Demetri Terzopoulos. [9]
Outside of academia, Brady has been involved with numerous start-up companies in the field of medical imaging [20] including Matakina and ScreenPoint (mammographic image analysis), Mirada Medical (medical image fusion) [21] and Perspectum Diagnostics [22] (magnetic resonance imaging of the liver). [4]
Brady was elected a Fellow of the Royal Academy of Engineering (FREng) in 1992 [1] [23] and a Fellow of the Royal Society (FRS) in 1997. [20] His FRS 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. [24]
Brady was knighted in the 2004 New Year Honours [3] for services to engineering. He delivered the Turing Lecture in 2009. [4] 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 was elected a Founding Fellow of the Association for the Advancement of Artificial Intelligence in 1990 [25] and a Fellow of the Academy of Medical Sciences (FMedSci) in 2008. [26] Brady was awarded Honorary Doctorates [10] at the University of Essex (1996), University of Manchester (1998) the University of Southampton(1999) the University of Liverpool (1999), the Paul Sabatier University (Toulouse) (2000), Oxford Brookes University (2006), the University of York,[ citation needed ] and Changsha and Chongqing.[ citation needed ] In 2007 he was appointed a commissioner of the Royal Commission for the Exhibition of 1851. [10]
Thomas Oriel Binford has been a researcher in image analysis and computer vision since 1967. He developed a model-based approach to computer vision in which complex objects are represented as collections of generalized cylinders. His results are reflected in work in other areas of research, including the interpretation of complex scenes using invariants and quasi-invariants, inference rules and evidential reasoning in extended Bayes networks of symbolic geometric constraints, the SUCCESSOR system, a portable, intelligent vision system, stereo and visual robot navigation, segmentation and feature estimation in complex images, color image analysis, surface material analysis, and image compression. He has led the development of numerous computer vision systems, including systems successfully employed in brain surgery on humans, high-precision automated machining, and helicopter navigation.
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