Zobrazeno 1 - 10
of 17
pro vyhledávání: '"John Melonakos"'
Publikováno v:
Medical Image Analysis. 13:931-940
In this paper, we present a new computationally efficient numerical scheme for the minimizing flow approach for optimal mass transport (OMT) with applications to non-rigid 3D image registration. The approach utilizes all of the gray-scale data in bot
Publikováno v:
Medical Imaging: Image Processing
Bayesian classification methods have been extensively used in a variety of image processing applications, including medical image analysis. The basic procedure is to combine data-driven knowledge in the likelihood terms with clinical knowledge in the
Autor:
James G. Malcolm, Abhijit Joshi, John Melonakos, Chris McClanahan, Shehzan Mohammed, Vishwanath Venugopalakrishnan, Pavan Yalamanchili, Umar Arshad, Kyle Spafford, Shivapriya Jamboti, Michael Landes
Publikováno v:
SPIE Proceedings.
Over the last three decades, CPUs have continued to produce large performance improvements from one generation to the next. However, CPUs have recently hit a performance wall and need parallel computing to move forward. Parallel computing over the ne
Publikováno v:
CVPR Workshops
We describe a method for segmenting neural fiber bundles in diffusion-weighted magnetic resonance images (DW-MRI). As these bundles traverse the brain to connect regions, their local orientation of diffusion changes drastically, hence a constant glob
Autor:
Chris McClanahan, Pavan Yalamanchili, James G. Malcolm, Vishwanath Venugopalakrishnan, John Melonakos, Krunal Patel
Publikováno v:
Modeling and Simulation for Defense Systems and Applications VII.
ArrayFire is a GPU matrix library for the rapid development of general purpose GPU (GPGPU) computing applications within C, C++, Fortran, and Python. ArrayFire contains a simple API and provides full GPU compute capability on CUDA and OpenCL capable
Autor:
Sandeep Maddipatla, Pavan Yalamanchili, Krunal Patel, James G. Malcolm, Brett Lucey, Chris McClanahan, Gallagher Pryor, John Melonakos, Vishwanath Venugopalakrishnan
Publikováno v:
Modeling and Simulation for Defense Systems and Applications VI.
We describe a software platform for the rapid development of general purpose GPU (GPGPU) computing applications within the MATLAB computing environment, C, and C++: Jacket. Jacket provides thousands of GPU-tuned function syntaxes within MATLAB, C, an
Publikováno v:
Medical Imaging: Image Processing
The Hamilton-Jacobi equation (HJE) appears widely in applied mathematics, physics, and optimal control theory. While its analytical solution is rarely available, the numerical solver is indispensable. In this work, firstly we propose a novel numerica
In this paper, we propose an image segmentation technique based on augmenting the conformal (or geodesic) active contour framework with directional information. In the isotropic case, the euclidean metric is locally multiplied by a scalar conformal f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59a29fefaf644e3427018b6f1011da5e
https://europepmc.org/articles/PMC2796633/
https://europepmc.org/articles/PMC2796633/
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 10(Pt 2)
Among the many features used for classification in computer-aided detection (CAD) systems targeting colonic polyps, those based on differences between the shapes of polyps and folds are most common. We introduce here an explicit parametric model for
Autor:
John Melonakos, Allen Tannenbaum, Marc Niethammer, Marek Kubicki, Vandana Mohan, Katherine L. Smith
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 ISBN: 9783540757566
MICCAI (1)
MICCAI (1)
In this paper, we present a novel approach for the segmentation of white matter tracts based on Finsler active contours. This technique provides an optimal measure of connectivity, explicitly segments the connecting fiber bundle, and is equipped with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f540df1b1a41837f10068209649b3e98
https://doi.org/10.1007/978-3-540-75757-3_5
https://doi.org/10.1007/978-3-540-75757-3_5