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MICCAI
2010
Springer
13 years 6 months ago
Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map
Automatic segmentation of the esophagus from CT data is a challenging problem. Its wall consists of muscle tissue, which has low contrast in CT. Sometimes it is filled with air or...
Johannes Feulner, Shaohua Kevin Zhou, Martin Huber...
IGARSS
2009
13 years 5 months ago
Developing a New Automated Tool for Detecting and Monitoring Dust and Sand Storms using MODIS and Meteosat SEVIRI-MSG Data
In the last three decades, significant advances have been made in mapping and monitoring environmental changes from Earth Observation satellites across a range of spatial and temp...
Hosni Ghedira, Adnan Al Rais
VIS
2008
IEEE
135views Visualization» more  VIS 2008»
14 years 9 months ago
Interactive Volume Exploration for Feature Detection and Quantification in Industrial CT Data
This paper presents a novel method for interactive exploration of industrial CT volumes such as cast metal parts, with the goal of interactively detecting, classifying, and quantif...
Markus Hadwiger, Laura Fritz, Christof Rezk-Sala...
HICSS
1994
IEEE
157views Biometrics» more  HICSS 1994»
13 years 11 months ago
A Protein Family Classification Method for Analysis of Large DNA Sequences
A method is described for identification and classification of proteins encoded in large DNA sequences. Previously, an automated system was introduced for the general detection of...
Steven Henikoff, Jorja G. Henikoff
CVPR
2007
IEEE
14 years 9 months ago
Quality-Driven Face Occlusion Detection and Recovery
This paper presents a framework to automatically detect and recover the occluded facial region. We first derive a Bayesian formulation unifying the occlusion detection and recover...
Dahua Lin, Xiaoou Tang