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» Automatic Brain and Tumor Segmentation
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MICCAI
1998
Springer
13 years 11 months ago
Segmentation and Measurement of the Cortex from 3D MR Images
The cortex is the outermost thin layer of gray matter in the brain; geometric measurement of the cortex helps in understanding brain anatomy and function. In the quantitative analy...
Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz...
MICCAI
1999
Springer
13 years 11 months ago
A New Approach to 3D Sulcal Ribbon Finding from MR Images
Abstract. Sulcal medial surfaces are 3D thin convoluted ribbons embedded in cortical sulci, and they provide distinctive anatomical features of the brain. Here we propose a new app...
Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz...
TMI
2002
155views more  TMI 2002»
13 years 7 months ago
Active Shape Model Segmentation with Optimal Features
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...
BMCBI
2004
131views more  BMCBI 2004»
13 years 7 months ago
Detection of chromosomal regions showing differential gene expression in human skeletal muscle and in alveolar rhabdomyosarcoma
Background: Rhabdomyosarcoma is a relatively common tumour of the soft tissue, probably due to regulatory disruption of growth and differentiation of skeletal muscle stem cells. I...
Andrea Bisognin, Stefania Bortoluzzi, Gian Antonio...
MICCAI
2010
Springer
13 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...