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» Progress in High Performance Medical Imaging
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MICCAI
2009
Springer
15 years 2 months ago
Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an eļ¬...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
CVPR
2009
IEEE
16 years 5 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...
LCPC
2000
Springer
15 years 1 months ago
Compiling Data Intensive Applications with Spatial Coordinates
Abstract. Processing and analyzing large volumes of data plays an increasingly important role in many domains of scienti c research. We are developing a compiler which processes da...
Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel ...
ICASSP
2010
IEEE
14 years 7 months ago
Bandwidth-intensive FPGA architecture for multi-dimensional DFT
Multi-dimensional (MD) Discrete Fourier Transform (DFT) is a key kernel algorithm in many signal processing algorithms, including radar data processing and medical imaging. Althou...
Chi-Li Yu, Chaitali Chakrabarti, Sungho Park, Vija...
IROS
2007
IEEE
254views Robotics» more  IROS 2007»
15 years 4 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...