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» Level Set Based Surface Capturing in 3D Medical Images
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ICCV
2005
IEEE
14 years 1 months ago
Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping
Face recognition and many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. In brain imaging, surfac...
Yalin Wang, Ming-Chang Chiang, Paul M. Thompson
ICRA
2008
IEEE
297views Robotics» more  ICRA 2008»
14 years 2 months ago
Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method
— This paper presents a parallel algorithm of the Level Set Method named the Parallel Fast Level Set Method, and its application for real-time 3D reconstruction of human shape an...
Yumi Iwashita, Ryo Kurazume, Kenji Hara, Seiichi U...
MICCAI
2006
Springer
14 years 8 months ago
Reconstruction of Patient-Specific 3D Bone Surface from 2D Calibrated Fluoroscopic Images and Point Distribution Model
Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and a point distribution model is discussed. We present a 2D/3D reconstruction scheme comb...
Guoyan Zheng, Miguel Ángel González ...
ECCV
2004
Springer
14 years 29 days ago
A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images
Anatomical shapes present a unique problem in terms of accurate representation and medical image segmentation. Three-dimensional (3D) statistical shape models have been extensivel...
Eric Berg, Mohamed Mahfouz, Christian Debrunner, W...
MICCAI
2004
Springer
14 years 8 months ago
Implicit Active Shape Models for 3D Segmentation in MR Imaging
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
Mikaël Rousson, Nikos Paragios, Rachid Derich...