Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

7th International Conference, Saint-Malo, France, September 26-29, 2004. Proceedings, Part I

Editors:

ISBN: 978-3-540-22976-6 (Print) 978-3-540-30135-6 (Online)

Table of contents (111 chapters)

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  1. Front Matter

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  2. Brain Segmentation

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      Pages 1-9

      Level Set Methods in an EM Framework for Shape Classification and Estimation

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      Pages 10-17

      Automatic Segmentation of Neonatal Brain MRI

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      Pages 18-25

      Segmentation of 3D Probability Density Fields by Surface Evolution: Application to Diffusion MRI

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      Pages 26-33

      Improved EM-Based Tissue Segmentation and Partial Volume Effect Quantification in Multi-sequence Brain MRI

  3. Cardiovascular Segmentation

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      Pages 34-42

      Cardiac Motion and Elasticity Characterization with Iterative Sequential $\mathcal{H}_\infty$ Criteria

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      Pages 43-50

      A Semi-automatic Endocardial Border Detection Method for 4D Ultrasound Data

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      Pages 51-59

      Vessel Segmentation Using a Shape Driven Flow

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      Pages 60-69

      Learning Coupled Prior Shape and Appearance Models for Segmentation

  4. Segmentation I

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      Pages 70-77

      A Modified Total Variation Denoising Method in the Context of 3D Ultrasound Images

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      Pages 78-86

      Correcting Nonuniformities in MRI Intensities Using Entropy Minimization Based on an Elastic Model

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      Pages 87-94

      Texture Image Analysis for Osteoporosis Detection with Morphological Tools

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      Pages 95-102

      Multi-class Posterior Atlas Formation via Unbiased Kullback-Leibler Template Estimation

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      Pages 103-110

      Dual Front Evolution Model and Its Application in Medical Imaging

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      Pages 111-118

      Topology Smoothing for Segmentation and Surface Reconstruction

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      Pages 119-126

      Simultaneous Boundary and Partial Volume Estimation in Medical Images

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      Pages 127-134

      Local Watershed Operators for Image Segmentation

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      Pages 135-142

      Medical Image Segmentation Based on Mutual Information Maximization

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      Pages 143-150

      Adaptive Segmentation of Multi-modal 3D Data Using Robust Level Set Techniques

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      Pages 151-159

      Coupling Statistical Segmentation and PCA Shape Modeling

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      Pages 160-167

      Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets

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