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Leo J. Grady, Ph.D.

Affiliations: 
Boston University, Boston, MA, United States 
Area:
Computer Vision, Computational Neuroscience, Visual System
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"Leo Grady"
Mean distance: 18.12 (cluster 17)
 
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Eric L. Schwartz grad student 2004 Boston University
 (Space-variant computer vision: A graph-theoretic approach.)

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Publications

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Jaquet C, Najman L, Talbot H, et al. (2018) Generation of patient-specific cardiac vascular networks: a hybrid image-based and synthetic geometric model. Ieee Transactions On Bio-Medical Engineering
Nakanishi R, Sankaran S, Grady L, et al. (2018) Automated estimation of image quality for coronary computed tomographic angiography using machine learning. European Radiology
El-Zehiry NY, Grady L. (2016) Contrast Driven Elastica for Image Segmentation Ieee Transactions On Image Processing. 25: 2508-2518
Lombaert H, Grady L, Pennec X, et al. (2014) Spectral log-demons: Diffeomorphic image registration with very large deformations International Journal of Computer Vision. 107: 254-271
Lombaert H, Grady L, Polimeni JR, et al. (2013) FOCUSR: feature oriented correspondence using spectral regularization--a method for precise surface matching. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 2143-60
Weller DS, Polimeni JR, Grady L, et al. (2013) Sparsity-promoting calibration for GRAPPA accelerated parallel MRI reconstruction. Ieee Transactions On Medical Imaging. 32: 1325-35
Couprie C, Grady LJ, Najman L, et al. (2013) Dual constrained TV-based regularization on graphs Siam Journal On Imaging Sciences. 6: 1246-1273
El-Zehiry NY, Grady L. (2013) Combinatorial Optimization of the Discretized Multiphase Mumford–Shah Functional International Journal of Computer Vision. 104: 270-285
Collins MD, Xu J, Grady L, et al. (2012) Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions. Proceedings / Cvpr, Ieee Computer Society Conference On Computer Vision and Pattern Recognition. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2012: 1656-1663
Bohland JW, Saperstein S, Pereira F, et al. (2012) Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects. Frontiers in Systems Neuroscience. 6: 78
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