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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010

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Cover of 'Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010'

Table of Contents

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    Book Overview
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    Chapter 1 Combining Morphological Information in a Manifold Learning Framework: Application to Neonatal MRI
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    Chapter 2 Fast Random Walker with Priors Using Precomputation for Interactive Medical Image Segmentation
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    Chapter 3 Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum Using Template-Driven Segmentation
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    Chapter 4 Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPLE
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    Chapter 5 Automated Segmentation of 3-D Spectral OCT Retinal Blood Vessels by Neural Canal Opening False Positive Suppression
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    Chapter 6 Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields
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    Chapter 7 Automated Sulci Identification via Intrinsic Modeling of Cortical Anatomy
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    Chapter 8 In Vivo MRI Assessment of Knee Cartilage in the Medial Meniscal Tear Model of Osteoarthritis in Rats
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    Chapter 9 Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI
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    Chapter 10 Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation
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    Chapter 11 Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis
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    Chapter 12 Multi-organ Segmentation from Multi-phase Abdominal CT via 4D Graphs Using Enhancement, Shape and Location Optimization
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    Chapter 13 A Semi-automatic Method for Segmentation of the Carotid Bifurcation and Bifurcation Angle Quantification on Black Blood MRA
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    Chapter 14 Standing on the Shoulders of Giants : Improving Medical Image Segmentation via Bias Correction
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    Chapter 15 Layout Consistent Segmentation of 3-D Meshes via Conditional Random Fields and Spatial Ordering Constraints
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    Chapter 16 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
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    Chapter 17 Nonlocal Patch-Based Label Fusion for Hippocampus Segmentation
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    Chapter 18 Cellular Automata Segmentation of Brain Tumors on Post Contrast MR Images
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    Chapter 19 Agreement-Based Semi-supervised Learning for Skull Stripping
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    Chapter 20 Construction of Patient Specific Atlases from Locally Most Similar Anatomical Pieces
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    Chapter 21 Automatic Lung Lobe Segmentation Using Particles, Thin Plate Splines, and Maximum a Posteriori Estimation
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    Chapter 22 Graph Search with Appearance and Shape Information for 3-D Prostate and Bladder Segmentation
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    Chapter 23 Segmentation of Cortical MS Lesions on MRI Using Automated Laminar Profile Shape Analysis
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    Chapter 24 3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
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    Chapter 25 Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation
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    Chapter 26 Predicting target vessel location for improved planning of robot-assisted CABG procedures.
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    Chapter 27 Quantification of prostate deformation due to needle insertion during TRUS-guided biopsy.
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    Chapter 28 Optimized Anisotropic Rotational Invariant Diffusion Scheme on Cone-Beam CT
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    Chapter 29 Control of Articulated Snake Robot under Dynamic Active Constraints
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    Chapter 30 Estimating Radiation Exposure in Interventional Environments
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    Chapter 31 Force Adaptive Multi-spectral Imaging with an Articulated Robotic Endoscope
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    Chapter 32 Motion Tracking in Narrow Spaces: A Structured Light Approach
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    Chapter 33 Tracking of Irregular Graphical Structures for Tissue Deformation Recovery in Minimally Invasive Surgery
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    Chapter 34 Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy
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    Chapter 35 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
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    Chapter 36 Image-Based Respiratory Motion Compensation for Fluoroscopic Coronary Roadmapping
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    Chapter 37 Surgical Task and Skill Classification from Eye Tracking and Tool Motion in Minimally Invasive Surgery
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    Chapter 38 Micro-force Sensing in Robot Assisted Membrane Peeling for Vitreoretinal Surgery
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    Chapter 39 C-arm Pose Estimation in Prostate Brachytherapy by Registration to Ultrasound
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    Chapter 40 Cognitive Burden Estimation for Visuomotor Learning with fNIRS
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    Chapter 41 Prediction Framework for Statistical Respiratory Motion Modeling
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    Chapter 42 Image Estimation from Marker Locations for Dose Calculation in Prostate Radiation Therapy
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    Chapter 43 A Machine Learning Approach for Deformable Guide-Wire Tracking in Fluoroscopic Sequences
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    Chapter 44 Collaborative Tracking for MRI-Guided Robotic Intervention on the Beating Heart
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    Chapter 45 Calibration and Use of Intraoperative Cone-Beam Computed Tomography: An In-Vitro Study for Wrist Fracture
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    Chapter 46 A Strain Energy Filter for 3D Vessel Enhancement
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    Chapter 47 Virtual Stent Grafting in Personalized Surgical Planning for Treatment of Aortic Aneurysms Using Image-Based Computational Fluid Dynamics
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    Chapter 48 MRI-Guided Robotic Prostate Biopsy: A Clinical Accuracy Validation
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    Chapter 49 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
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    Chapter 50 Modeling and Segmentation of Surgical Workflow from Laparoscopic Video
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    Chapter 51 Fused video and ultrasound images for minimally invasive partial nephrectomy: a phantom study.
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    Chapter 52 Probabilistic 4D Blood Flow Mapping
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    Chapter 53 Rotational Encoding of C-arm Fluoroscope with Tilt Sensing Accelerometer
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    Chapter 54 Robotic Hand-Held Surgical Device: Evaluation of End-Effector’s Kinematics and Development of Proof-of-Concept Prototypes
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    Chapter 55 Guide-Wire Extraction through Perceptual Organization of Local Segments in Fluoroscopic Images
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    Chapter 56 Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy
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    Chapter 57 A Method for Planning Safe Trajectories in Image-Guided Keyhole Neurosurgery
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    Chapter 58 Adaptive Multispectral Illumination for Retinal Microsurgery
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    Chapter 59 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
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    Chapter 60 Diagnostic Radiograph Based 3D Bone Reconstruction Framework: Application to Osteotomy Surgical Planning
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    Chapter 61 Comparative Analysis of Quasi-Conformal Deformations in Shape Space
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    Chapter 62 Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography
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    Chapter 63 Heat Kernel Smoothing Using Laplace-Beltrami Eigenfunctions
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    Chapter 64 Under-Determined Non-cartesian MR Reconstruction with Non-convex Sparsity Promoting Analysis Prior
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    Chapter 65 A Statistical Approach for Achievable Dose Querying in IMRT Planning
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    Chapter 66 Multivariate Statistical Analysis of Deformation Momenta Relating Anatomical Shape to Neuropsychological Measures
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    Chapter 67 Shape Analysis of Vestibular Systems in Adolescent Idiopathic Scoliosis Using Geodesic Spectra
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    Chapter 68 Value-Based Noise Reduction for Low-Dose Dual-Energy Computed Tomography
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    Chapter 69 Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
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    Chapter 70 Probabilistic Multi-Shape Representation Using an Isometric Log-Ratio Mapping
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    Chapter 71 Efficient Robust Reconstruction of Dynamic PET Activity Maps with Radioisotope Decay Constraints
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    Chapter 72 Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
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    Chapter 73 Improved Method for Point-Based Tracking
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    Chapter 74 A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images
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    Chapter 75 Active Learning for an Efficient Training Strategy of Computer-Aided Diagnosis Systems: Application to Diabetic Retinopathy Screening
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    Chapter 76 Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
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    Chapter 77 Computer-aided detection of pulmonary pathology in pediatric chest radiographs.
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    Chapter 78 Toward Precise Pulmonary Nodule Descriptors for Nodule Type Classification
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    Chapter 79 Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis
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    Chapter 80 Automatic Cephalometric Evaluation of Patients Suffering from Sleep-Disordered Breathing
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    Chapter 81 Fusion of Local and Global Detection Systems to Detect Tuberculosis in Chest Radiographs
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    Chapter 82 Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning
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    Chapter 83 Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
3 X users
patent
2 patents
wikipedia
1 Wikipedia page

Citations

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17 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
Published by
ADS, September 2010
DOI 10.1007/978-3-642-15711-0
ISBNs
978-3-64-215710-3, 978-3-64-215711-0
Editors

Jiang, Tianzi, Navab, Nassir, Pluim, Josien P. W., Viergever, Max A.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 3%
Researcher 1 3%
Student > Doctoral Student 1 3%
Unknown 32 91%
Readers by discipline Count As %
Engineering 2 6%
Physics and Astronomy 1 3%
Unknown 32 91%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 December 2023.
All research outputs
#3,266,572
of 24,990,015 outputs
Outputs from ADS
#1,885
of 37,346 outputs
Outputs of similar age
#12,477
of 100,062 outputs
Outputs of similar age from ADS
#21
of 379 outputs
Altmetric has tracked 24,990,015 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,346 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 100,062 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 379 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.