Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
19
click to vote
GRAPP
2009
favorite
Email
discuss
report
162
views
Computer Graphics
»
more
GRAPP 2009
»
3D Visualization and Segmentation of Brain MRI Data
13 years 6 months ago
Download
web.mysites.ntu.edu.sg
Konstantin Levinski, Alexei Sourin, Vitali Zagorod
Real-time Traffic
Computer Graphics
|
GRAPP 2009
|
claim paper
Related Content
»
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Class...
»
Valmet A New Validation Tool for Assessing and Improving 3D Object Segmentation
»
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
»
Combining Fuzzy Logic and Level Set Methods for 3D MRI Brain Segmentation
»
Fast and Robust 3D MRI Brain Structure Segmentation
»
A Discriminative ModelConstrained Graph Cuts Approach to Fully Automated Pediatric Brain T...
»
A Fast Semiautomatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging
»
SemiAutomatic 3D Segmentation of Anatomical Structures of Brain MRI Volumes using Graph Cu...
»
3D Filtering for Injury Detection in Brain MRI
more »
Post Info
More Details (n/a)
Added
18 Feb 2011
Updated
18 Feb 2011
Type
Journal
Year
2009
Where
GRAPP
Authors
Konstantin Levinski, Alexei Sourin, Vitali Zagorodnov
Comments
(0)
Researcher Info
Computer Graphics Study Group
Computer Vision