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Home > Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003: 6th International Conference, Montréal, Canada, November 15-18, 2003, Proceedings, Part II > Segmenting 3D Branching Tubular Structures Using Cores
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003: 6th International Conference, Montréal, Canada, November 15-18, 2003, Proceedings, Part II |
Randy E. Ellis; Terry M. Peters
Springer Berlin Heidelberg
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003: 6th International Conference, Montréal, Canada, November 15-18, 2003, Proceedings, Part II
Segmenting 3D Branching Tubular Structures Using Cores
Authors

Yonatan Fridman; Stephen M. Pizer; Stephen Aylward; Elizabeth Bullitt

ARI Id

1664324534056_1216149

Access

Not Available Free

Pages

570-577

DOI

10.1007/978-3-540-39903-2_70

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-540-39903-2_70

Table of Contents of Book
Showing 1 to 20 of 140 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Objective Evaluation of Facial Paralysis by Asymmetry in Expressions
Pujitha Gunaratne; Yukio Sato
1-8
Tissue-Based Affine Registration of Brain Images to form a Vascular Density Atlas
Derek Cool; Dini Chillet; Jisung Kim; Jean-Phillipe Guyon; Mark Foskey; Stephen Aylward
9-15
Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths
Pierre Fillard; John Gilmore; Joseph Piven; Weili Lin; Guido Gerig
16-23
Three Dimensional Comparison of Interventional MR Radiofrequency Ablation Images with Tissue Response
Michael S. Breen; David L. Wilson; Roee S. Lazebnik; Jonathan S. Lewin
24-31
De-noising SPECT/PET Images Using Cross-Scale Regularization
Yinpeng Jin; Elsa D. Angelini; Peter D. Esser; Andrew F. Laine
32-40
Intensity Compensation within Series of Images
Grégoire Malandain; Eric Bardinet
41-49
A Method for Analysis of Electrophysiological Responses Obtained from the Motor Fibers of the Human Internal Capsule
E. G. Duerden; K. W. Finnis; T. M. Peters; A. F. Sadikot
50-57
Patient Classification of fMRI Activation Maps
James Ford; Hany Farid; Fillia Makedon; Laura A. Flashman; Thomas W. McAllister; Vasilis Megalooikonomou et al.
58-65
Combining Front Propagation with Shape Knowledge for Accurate Curvilinear Modelling
Rongxin Li; Sébastien Ourselin
66-74
Unsupervised Learning and Mapping of Brain fMRI Signals Based on Hidden Semi-Markov Event Sequence Models
Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Fabrice Heitz
75-82
Feature Detection in fMRI Data: The Information Bottleneck Approach
Bertrand Thirion; Olivier Faugeras
83-91
Regularization of Diffusion Tensor Maps Using a Non-Gaussian Markov Random Field Approach
Marcos Martín-Fernández; Carlos Alberola-López; Juan Ruiz-Alzola; Carl-Fredrik Westin
92-100
Quantifying Evolving Processes in Multimodal 3D Medical Images
Yuhang Wang; Tilmann Steinberg; Fillia Makedon; James Ford; Heather Wishart; Andrew Saykin
101-108
Detection of Objects by Integrating Watersheds and Critical Point Analysis
G. Fu; S. A. Hojjat; A. C. F. Colchester
109-116
A Superresolution Framework for fMRI Sequences and Its Impact on Resulting Activation Maps
P. Kornprobst; R. Peeters; M. Nikolova; R. Deriche; M. Ng; P. Van Hecke
117-125
3D Reconstruction from Truncated Rotational Angiograms Using Linear Prediction
Ramesh R. Galigekere; David W. Holdsworth
126-133
Tomographic Reconstruction for Truncated Cone Beam Data Using Prior CT Information
Krishnakumar Ramamurthi; Jerry Prince
134-141
VETOT, Volume Estimation and Tracking Over Time: Framework and Validation
Jean-Philippe Guyon; Mark Foskey; Jisung Kim; Zeynep Firat; Barbara Davis; Karen Haneke et al.
142-149
Generalized Image Models and Their Application as Statistical Models of Images
Miguel Ángel González Ballester; Xavier Pennec; Nicholas Ayache
150-157
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 140 entries
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