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Information Processing in Medical Imaging

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Cover of 'Information Processing in Medical Imaging'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 On the Difficulty of Detecting Tumors in Mammograms
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    Chapter 2 Objective Comparison of Quantitative Imaging Modalities Without the Use of a Gold Standard
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    Chapter 3 Theory for Estimating Human-Observer Templates in Two-Alternative Forced-Choice Experiments
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    Chapter 4 The Active Elastic Model
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    Chapter 5 A Minimum Description Length Approach to Statistical Shape Modelling
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    Chapter 6 Multi-scale 3-D Deformable Model Segmentation Based on Medial Description
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    Chapter 7 Information Processing in Medical Imaging
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    Chapter 8 A Regularization Scheme for Diffusion Tensor Magnetic Resonance Images
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    Chapter 9 Distributed Anatomical Brain Connectivity Derived from Diffusion Tensor Imaging
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    Chapter 10 Study of Connectivity in the Brain Using the Full Diffusion Tensor from MRI
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    Chapter 11 Incorporating Image Processing in a Clinical Decision support system
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    Chapter 12 Automated Estimation of Brain Volume in Multiple Sclerosis with BICCR
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    Chapter 13 Automatic Image Registration for MR and Ultrasound Cardiac Images
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    Chapter 14 Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasound
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    Chapter 15 Automatic Registration of Mammograms Based on Linear Structures
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    Chapter 16 Tracking Brain Deformations in Time-Sequences of 3D US Images
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    Chapter 17 Robust Multimodal Image Registration Using Local Frequency Representations
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    Chapter 18 Steps Toward a Stereo-Camera-Guided Biomechanical Model for Brain Shift Compensation
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    Chapter 19 Spatiotemporal Analysis of Functional Images Using the Fixed Effect Model
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    Chapter 20 Spatio-Temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
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    Chapter 21 Microvascular Dynamics in the Nailfolds of Scleroderma Patients Studied Using Na-Fluorescein dye
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    Chapter 22 Time Curve Analysis Techniques for Dynamic Contrast MRI Studies
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    Chapter 23 Detecting Functionally Coherent Networks in fMRI Data of the Human Brain Using Replicator Dynamics
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    Chapter 24 Smoothness Prior Information in Principal Component Analysis of Dynamic Image Data
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    Chapter 25 Estimation of Baseline Drifts in fMRI
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    Chapter 26 Analyzing the Neocortical Fine-Structure
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    Chapter 27 Motion Correction Algorithms of the Brain Mapping Community Create Spurious Functional Activations
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    Chapter 28 Estimability of Spatio-Temporal Activation in fMRI
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    Chapter 29 A New Approach to the MEG/EEG Inverse Problem for the Recovery of Cortical Phase-Synchrony
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    Chapter 30 Neural Field Dynamics on the Folded Three-Dimensional Cortical Sheet and Its Forward EEG and MEG
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    Chapter 31 A Unified Feature Registration Method for Brain Mapping
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    Chapter 32 Cooperation between Local and Global Approaches to Register Brain Images
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    Chapter 33 Landmark and Intensity-Based, Consistent Thin-Plate Spline Image Registration
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    Chapter 34 Validation of Non-rigid Registration Using Finite Element Methods
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    Chapter 35 A Linear Time Algorithm for Computing the Euclidean Distance Transform in Arbitrary Dimensions
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    Chapter 36 An Elliptic Operator for Constructing Conformal Metrics in Geometric Deformable Models
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    Chapter 37 Using a Linear Diagnostic Function and Non-rigid Registration to Search for Morphological Differences Between Populations: An Example Involving the Male and Female Corpus Callosum
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    Chapter 38 Shape Constrained Deformable Models for 3D Medical Image Segmentation
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    Chapter 39 Stenosis Detection Using a New Shape Space for Second Order 3D-Variations
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    Chapter 40 Graph-Based Topology Correction for Brain Cortex Segmentation
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    Chapter 41 Intuitive, Localized Analysis of Shape Variability
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    Chapter 42 A Sequential 3D Thinning Algorithm and Its Medical Applications
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    Chapter 43 An Adaptive Level Set Method for Medical Image Segmentation
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    Chapter 44 Partial Volume Segmentation of Cerebral MRI Scans with Mixture Model Clustering
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    Chapter 45 Nonlinear Edge Preserving Smoothing and Segmentation of 4-D Medical Images via Scale-Space Fingerprint Analysis
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    Chapter 46 Spatio-Temporal Segmentation of Active Multiple Sclerosis Lesions in Serial MRI Data
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    Chapter 47 Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models
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    Chapter 48 Feature Enhancement in Low Quality Images with Application to Echocardiography
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    Chapter 49 3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA
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    Chapter 50 Markov Random Field Models for Segmentation of PET Images
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    Chapter 51 Statistical Study on Cortical Sulci of Human Brains
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    Chapter 52 Detecting Sisease-Specific Patterns of Brain Structure Using Cortical Pattern Matching and a Population-Based Probabilistic Brain Atlas
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    Chapter 53 Medial Models Incorporating Object Variability for 3D Shape Analysis
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    Chapter 54 Deformation Analysis for Shape Based Classification
Attention for Chapter 18: Steps Toward a Stereo-Camera-Guided Biomechanical Model for Brain Shift Compensation
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Chapter title
Steps Toward a Stereo-Camera-Guided Biomechanical Model for Brain Shift Compensation
Chapter number 18
Book title
Information Processing in Medical Imaging
Published by
Springer, Berlin, Heidelberg, June 2001
DOI 10.1007/3-540-45729-1_18
Book ISBNs
978-3-54-042245-7, 978-3-54-045729-9
Authors

Oskar Škrinjar, Colin Studholme, Arya Nabavi, James Duncan, Škrinjar, Oskar, Studholme, Colin, Nabavi, Arya, Duncan, James

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Luxembourg 1 8%
Austria 1 8%
Unknown 10 77%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Master 2 15%
Lecturer 1 8%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Other 2 15%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 5 38%
Engineering 4 31%
Medicine and Dentistry 1 8%
Unknown 3 23%