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MICCAI
2004
Springer
15 years 10 months ago
Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI
We propose an original approach for the segmentation of three-dimensional fields of probability density functions. This presents a wide range of applications in medical images proc...
Christophe Lenglet, Mikaël Rousson, Rachid De...
CVPR
2010
IEEE
14 years 7 months ago
Natural gradients for deformable registration
We apply the concept of natural gradients to deformable registration. The motivation stems from the lack of physical interpretation for gradients of image-based difference measure...
Darko Zikic, Ali Kamen, Nassir Navab
MICCAI
2000
Springer
15 years 1 months ago
Nonrigid Registration of 3D Scalar, Vector and Tensor Medical Data
New medical imaging modalities offering multi-valued data, such as phase contrast MRA and diffusion tensor MRI, require general representations for the development of automatized a...
Juan Ruiz-Alzola, Carl-Fredrik Westin, Simon K. Wa...
79
Voted
ISBI
2007
IEEE
15 years 4 months ago
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-koo ...
76
Voted
ECCV
1992
Springer
15 years 11 months ago
Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model
This paper presents a computational model that segments images based on the textural properties of object surfaces. The proposed Coupled-Membrane model applies the weak membrane ap...
Tai Sing Lee, David Mumford, Alan L. Yuille