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ISBI
2006
IEEE
14 years 8 months ago
Automatic landmark tracking applied to optimize brain conformal mapping
Important anatomical features on the cortical surface are usually represented by landmark curves, called sulcal/gyral curves. Manual labeling of these landmark curves is time-cons...
Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Th...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 8 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
BMCBI
2008
114views more  BMCBI 2008»
13 years 7 months ago
Visualizing and clustering high throughput sub-cellular localization imaging
Background: The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of imag...
Nicholas A. Hamilton, Rohan D. Teasdale
MICCAI
2003
Springer
14 years 8 months ago
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI
Abstract. This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil ...
Guido Gerig, Marcel Prastawa, Weili Lin, John H. G...
GIS
2009
ACM
14 years 2 months ago
Tree detection from aerial imagery
We propose an automatic approach to tree detection from aerial imagery. First a pixel-level classifier is trained to assign a {tree, non-tree} label to each pixel in an aerial im...
Lin Yang, Xiaqing Wu, Emil Praun, Xiaoxu Ma