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Home > Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I > Segmenting Brain Tumors Using Pseudo–Conditional Random Fields
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I |
Dimitris Metaxas; Leon Axel; Gabor Fichtinger; Gabor Szekely
Springer Berlin Heidelberg
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008: 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part I
Segmenting Brain Tumors Using Pseudo–Conditional Random Fields
Authors

Chi-Hoon Lee; Shaojun Wang; Albert Murtha; Matthew R. G. Brown; Russell Greiner

ARI Id

1664707327597_2834637

Access

Not Available Free

Pages

359-366

DOI

10.1007/978-3-540-85988-8_43

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-85988-8_43

Table of Contents of Book
Showing 1 to 20 of 129 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
On Computing the Underlying Fiber Directions from the Diffusion Orientation Distribution Function
Luke Bloy; Ragini Verma
1-8
Extracting Tractosemas from a Displacement Probability Field for Tractography in DW-MRI
Angelos Barmpoutis; Baba C. Vemuri; Dena Howland; John R. Forder
9-16
New Algorithms to Map Asymmetries of 3D Surfaces
Benoît Combès; Sylvain Prima
17-25
A Distributed Spatio-temporal EEG/MEG Inverse Solver
Wanmei Ou; Polina Golland; Matti Hämäläinen
26-34
Tracking the Swimming Motions of C. elegans Worms with Applications in Aging Studies
Christophe Restif; Dimitris Metaxas
35-42
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
Giorgos Sfikas; Christophoros Nikou; Nikolaos Galatsanos; Christian Heinrich
43-50
Semi-supervised Nasopharyngeal Carcinoma Lesion Extraction from Magnetic Resonance Images Using Online Spectral Clustering with a Learned Metric
Wei Huang; Kap Luk Chan; Yan Gao; Jiayin Zhou; Vincent Chong
51-58
Multi-level Classification of Emphysema in HRCT Lung Images Using Delegated Classifiers
Mithun Prasad; Arcot Sowmya
59-66
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
Michael Wels; Gustavo Carneiro; Alexander Aplas; Martin Huber; Joachim Hornegger; Dorin Comaniciu
67-75
Prostate Cancer Probability Maps Based on Ultrasound RF Time Series and SVM Classifiers
Mehdi Moradi; Parvin Mousavi; Robert Siemens; Eric Sauerbrei; Alexander Boag; Purang Abolmaesumi
76-84
A Bayesian Approach for Liver Analysis: Algorithm and Validation Study
Moti Freiman; Ofer Eliassaf; Yoav Taieb; Leo Joskowicz; Jacob Sosna
85-92
Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach
Moti Freiman; Yifat Edrei; Yehonatan Sela; Yitzchak Shmidmayer; Eitan Gross; Leo Joskowicz et al.
93-100
Evaluation of a Cardiac Ultrasound Segmentation Algorithm Using a Phantom
Yong Yue; Hemant D. Tagare; Ernest L. Madsen; Gary R. Frank; Maritza A. Hobson
101-109
Automatic Recovery of the Left Ventricular Blood Pool in Cardiac Cine MR Images
Marie-Pierre Jolly
110-118
MRI Bone Segmentation Using Deformable Models and Shape Priors
Jérôme Schmid; Nadia Magnenat-Thalmann
119-126
Segmentation of Vessels Cluttered with Cells Using a Physics Based Model
Stephen J. Schmugge; Steve Keller; Nhat Nguyen; Richard Souvenir; Toan Huynh; Mark Clemens et al.
127-134
Streamline Flows for White Matter Fibre Pathway Segmentation in Diffusion MRI
Peter Savadjiev; Jennifer S. W. Campbell; G. Bruce Pike; Kaleem Siddiqi
135-143
Toward Unsupervised Classification of Calcified Arterial Lesions
Gerd Brunner; Uday Kurkure; Deepak R. Chittajallu; Raja P. Yalamanchili; Ioannis A. Kakadiaris
144-152
Weights and Topology: A Study of the Effects of Graph Construction on 3D Image Segmentation
Leo Grady; Marie-Pierre Jolly
153-161
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 129 entries
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