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Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

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Cover of 'Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Segmentation of Renal Compartments in DCE-MRI Images
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    Chapter 2 Harmonizing Diffusion MRI Data Across Multiple Sites and Scanners.
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    Chapter 3 Track Filtering via Iterative Correction of TDI Topology.
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    Chapter 4 Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes
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    Chapter 5 q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans
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    Chapter 6 A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting
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    Chapter 7 Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation
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    Chapter 8 An Iterated Complex Matrix Approach for Simulation and Analysis of Diffusion MRI Processes
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    Chapter 9 Prediction of Motor Function in Very Preterm Infants Using Connectome Features and Local Synthetic Instances
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    Chapter 10 Segmenting Kidney DCE-MRI Using 1st-Order Shape and 5th-Order Appearance Priors
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    Chapter 11 Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis
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    Chapter 12 Prediction of CT Substitutes from MR Images Based on Local Sparse Correspondence Combination
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    Chapter 13 Robust Automated White Matter Pathway Reconstruction for Large Studies
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    Chapter 14 Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes
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    Chapter 15 Sparse Bayesian Inference of White Matter Fiber Orientations from Compressed Multi-resolution Diffusion MRI
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    Chapter 16 Classification of MRI under the Presence of Disease Heterogeneity using Multi-Task Learning: Application to Bipolar Disorder
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    Chapter 17 Fiber Connection Pattern-Guided Structured Sparse Representation of Whole-Brain fMRI Signals for Functional Network Inference
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    Chapter 18 Joint Estimation of Hemodynamic Response Function and Voxel Activation in Functional MRI Data
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    Chapter 19 Quantifying Microstructure in Fiber Crossings with Diffusional Kurtosis
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    Chapter 20 Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging?
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    Chapter 21 Convex Non-negative Spherical Factorization of Multi-Shell Diffusion-Weighted Images
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    Chapter 22 Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning
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    Chapter 23 Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization
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    Chapter 24 V–Bundles: Clustering Fiber Trajectories from Diffusion MRI in Linear Time
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    Chapter 25 Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke
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    Chapter 26 Integrating Multimodal Priors in Predictive Models for the Functional Characterization of Alzheimer’s Disease
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    Chapter 27 Simultaneous Denoising and Registration for Accurate Cardiac Diffusion Tensor Reconstruction from MRI
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    Chapter 28 Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties
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    Chapter 29 Elucidating Intravoxel Geometry in Diffusion-MRI: Asymmetric Orientation Distribution Functions (AODFs) Revealed by a Cone Model
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    Chapter 30 Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding
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    Chapter 31 Autonomous Ultrasound-Guided Tissue Dissection
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    Chapter 32 A Compact Retinal-Surgery Telemanipulator that Uses Disposable Instruments
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    Chapter 33 Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery
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    Chapter 34 Direct Calibration of a Laser Ablation System in the Projective Voltage Space
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    Chapter 35 Surrogate-Driven Estimation of Respiratory Motion and Layers in X-Ray Fluoroscopy
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    Chapter 36 Robust 5DOF Transesophageal Echo Probe Tracking at Fluoroscopic Frame Rates
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    Chapter 37 Rigid Motion Compensation in Interventional C-arm CT Using Consistency Measure on Projection Data
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    Chapter 38 Hough Forests for Real-Time, Automatic Device Localization in Fluoroscopic Images: Application to TAVR
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    Chapter 39 Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion.
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    Chapter 40 A Portable Intra-Operative Framework Applied to Distal Radius Fracture Surgery
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    Chapter 41 Image Based Surgical Instrument Pose Estimation with Multi-class Labelling and Optical Flow
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    Chapter 42 Adaption of 3D Models to 2D X-Ray Images during Endovascular Abdominal Aneurysm Repair
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    Chapter 43 Projection-Based Phase Features for Localization of a Needle Tip in 2D Curvilinear Ultrasound
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    Chapter 44 Inertial Measurement Unit for Radiation-Free Navigated Screw Placement in Slipped Capital Femoral Epiphysis Surgery
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    Chapter 45 Pictorial Structures on RGB-D Images for Human Pose Estimation in the Operating Room
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    Chapter 46 Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries
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    Chapter 47 Automated Segmentation of Surgical Motion for Performance Analysis and Feedback
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    Chapter 48 Vision-Based Intraoperative Cone-Beam CT Stitching for Non-overlapping Volumes
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    Chapter 49 Visibility Map: A New Method in Evaluation Quality of Optical Colonoscopy
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    Chapter 50 Tissue Surface Reconstruction Aided by Local Normal Information Using a Self-calibrated Endoscopic Structured Light System
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    Chapter 51 Surgical Augmented Reality with Topological Changes
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    Chapter 52 Towards an Efficient Computational Framework for Guiding Surgical Resection through Intra-operative Endo-microscopic Pathology
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    Chapter 53 Automated Assessment of Surgical Skills Using Frequency Analysis
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    Chapter 54 Robust Live Tracking of Mitral Valve Annulus for Minimally-Invasive Intervention Guidance
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    Chapter 55 Motion-Aware Mosaicing for Confocal Laser Endomicroscopy
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    Chapter 56 A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels
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    Chapter 57 Marker-Less AR in the Hybrid Room Using Equipment Detection for Camera Relocalization
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    Chapter 58 Hybrid Retargeting for High-Speed Targeted Optical Biopsies
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    Chapter 59 Visual Force Feedback for Hand-Held Microsurgical Instruments
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    Chapter 60 Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
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    Chapter 61 A System for MR-Ultrasound Guidance during Robot-Assisted Laparoscopic Radical Prostatectomy
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    Chapter 62 Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks
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    Chapter 63 Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks
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    Chapter 64 Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning
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    Chapter 65 Why Does Synthesized Data Improve Multi-sequence Classification?
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    Chapter 66 Label Stability in Multiple Instance Learning
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    Chapter 67 Spectral Forests: Learning of Surface Data, Application to Cortical Parcellation
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    Chapter 68 DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
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    Chapter 69 3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data
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    Chapter 70 A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI.
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    Chapter 71 Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma
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    Chapter 72 Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks
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    Chapter 73 A Random Riemannian Metric for Probabilistic Shortest-Path Tractography
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    Chapter 74 Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms
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    Chapter 75 Learning Tensor-Based Features for Whole-Brain fMRI Classification
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    Chapter 76 Prediction of Trabecular Bone Anisotropy from Quantitative Computed Tomography Using Supervised Learning and a Novel Morphometric Feature Descriptor
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    Chapter 77 Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation
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    Chapter 78 Scale-Adaptive Forest Training via an Efficient Feature Sampling Scheme
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    Chapter 79 Multiple Instance Cancer Detection by Boosting Regularised Trees
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    Chapter 80 Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation
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    Chapter 81 Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain
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    Chapter 82 Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
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    Chapter 83 Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network
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    Chapter 84 Grouping Total Variation and Sparsity: Statistical Learning with Segmenting Penalties
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    Chapter 85 Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets
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    Chapter 86 Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier
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    Chapter 87 Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data
  89. Altmetric Badge
    Chapter 88 Nonlinear regression on Riemannian manifolds and its applications to Neuro-image analysis.
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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
14 X users
patent
22 patents

Citations

dimensions_citation
186 Dimensions

Readers on

mendeley
337 Mendeley
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Title
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-24553-9
ISBNs
978-3-31-924552-2, 978-3-31-924553-9
Editors

Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 337 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 66 20%
Student > Ph. D. Student 51 15%
Researcher 47 14%
Student > Bachelor 40 12%
Student > Doctoral Student 16 5%
Other 37 11%
Unknown 80 24%
Readers by discipline Count As %
Computer Science 173 51%
Engineering 61 18%
Physics and Astronomy 4 1%
Agricultural and Biological Sciences 4 1%
Mathematics 2 <1%
Other 10 3%
Unknown 83 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 12 December 2023.
All research outputs
#1,954,034
of 25,463,724 outputs
Outputs from Lecture notes in computer science
#306
of 8,163 outputs
Outputs of similar age
#25,976
of 359,936 outputs
Outputs of similar age from Lecture notes in computer science
#22
of 257 outputs
Altmetric has tracked 25,463,724 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 96% 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 359,936 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 257 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 91% of its contemporaries.