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MICCAI
2010
Springer
15 years 5 months ago
Manifold Learning for Biomarker Discovery in MR Imaging
We propose a framework for the extraction of biomarkers from low-dimensional manifolds representing inter- and intra-subject brain variation in MR image data. The coordinates of ea...
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel...
MICCAI
2010
Springer
15 years 5 months ago
Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging
Bioluminescence imaging (BLI) offers the possibility to study and image biology at molecular scale in small animals with applications in oncology or gene expression studies. Here ...
Mickael Savinaud, Martin de La Gorce, Serge Maitre...
MICCAI
2010
Springer
15 years 5 months ago
Tracked Ultrasound Elastography (TrUE)
Abstract. This paper presents a robust framework for freehand ultrasound elastography to cope with uncertainties of freehand palpation using the information from an external tracke...
Pezhman Foroughi, Hassan Rivaz, Ioana Fleming, Gre...
MICCAI
2010
Springer
15 years 5 months ago
Agreement-Based Semi-supervised Learning for Skull Stripping
Abstract. Learning-based approaches have become increasingly practical in medical imaging. For a supervised learning strategy, the quality of the trained algorithm (usually a class...
Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thomp...
MICCAI
2010
Springer
15 years 5 months ago
Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...
Moti Freiman, A. Kronman, S. J. Esses, Leo Joskowi...
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