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Michael Brady, FRS

Affiliations:	1985	Electrical Engineering and Computer Science	Massachusetts Institute of Technology, Cambridge, MA, United States
	1985-	Engineering Science	University of Oxford, Oxford, United Kingdom

Area:

Information Engineering

Website:

http://www.robots.ox.ac.uk/~jmb/

Google:

"Oxford OR MIT OR "Massachusetts Institute of Technology" "Mike Brady" OR "John Michael Brady" OR "J Michael Brady" OR "Michael Brady" OR "Sir Michael Brady"

Bio:

https://royalsociety.org/people/michael-brady-11127/
https://www.oncology.ox.ac.uk/team/mike-brady
http://www.robots.ox.ac.uk/~jmb/graduates.html
https://en.wikipedia.org/wiki/J._Michael_Brady
https://www.researchgate.net/profile/Michael_Brady20
https://www.genealogy.math.ndsu.nodak.edu/id.php?id=57346

Cross-listing: Computer Science Tree

Tree Publications Similar researchers PubMed Report error

Parents

László Kovács	grad student	1970	ANU (Computer Science Tree)
(Just-Non-Cross Varieties of Groups)

Children

Michael J. Brooks	grad student	1983	University of Essex (Neurotree)
Demetri Terzopoulos	grad student	1984	MIT (Computer Science Tree)
Anita Flynn	grad student	1985	MIT
Philip E. Agre	grad student	1989	MIT (SocTree)
David Forsyth	grad student	1989	Oxford (Robotree)
Shaogang Gong	grad student	1986-1989	Oxford (Computer Science Tree)
Stephen Smith	grad student	1989-1992	Oxford (Neurotree)
Mark Jenkinson	grad student	1995-1999	Oxford (Neurotree)
Mark Woolrich	grad student	1999-2002	Oxford (Neurotree)
Dominique Van de Sompel	grad student	2006-2009	Oxford (Imaging Tree)

Collaborators

BETA: Related publications

Publications

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Franklin JM, Irving B, Papiez BW, et al. (2020) 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. European Journal of Radiology. 126: 108934
Hutton C, Gyngell ML, Milanesi M, et al. (2018) Validation of a standardized MRI method for liver fat and T2* quantification. Plos One. 13: e0204175
Papież BW, Franklin JM, Heinrich MP, et al. (2018) GIFTed Demons: deformable image registration with local structure-preserving regularization using supervoxels for liver applications. Journal of Medical Imaging (Bellingham, Wash.). 5: 024001
Szilágyi T, Brady M, Berényi E. (2015) Phase congruency map driven brain tumour segmentation Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9413
Potesil V, Kadir T, Brady M. (2014) Learning new parts for landmark localization in whole-body CT scans. Ieee Transactions On Medical Imaging. 33: 836-48
Potesil V, Kadir T, Platsch G, et al. (2014) Personalized Graphical Models for Anatomical Landmark Localization in Whole-Body Medical Images International Journal of Computer Vision. 111: 29-49
Heinrich MP, Jenkinson M, Brady M, et al. (2013) MRF-based deformable registration and ventilation estimation of lung CT. Ieee Transactions On Medical Imaging. 32: 1239-48
Irving B, Tanner L, Enescu M, et al. (2013) Personalised estimation of the arterial input function for improved pharmacokinetic modelling of colorectal cancer using dceMRI Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8198: 126-135
Van de Sompel D, Brady M. (2012) Regularising limited view tomography using anatomical reference images and information theoretic similarity metrics Medical Image Analysis. 16: 278-300
Ali R, Szilagyi T, Gooding M, et al. (2012) On the use of low-pass filters for image processing with inverse Laplacian models Journal of Mathematical Imaging and Vision. 43: 156-165

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