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Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation

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Cover of 'Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation'

Table of Contents

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    Book Overview
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    Chapter 1 Robust Photoacoustic Beamforming Using Dense Convolutional Neural Networks
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    Chapter 2 A Training Tool for Ultrasound-Guided Central Line Insertion with Webcam-Based Position Tracking
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    Chapter 3 GLUENet: Ultrasound Elastography Using Convolutional Neural Network
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    Chapter 4 CUST: CNN for Ultrasound Thermal Image Reconstruction Using Sparse Time-of-Flight Information
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    Chapter 5 Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN
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    Chapter 6 Recent Advances in Point-of-Care Ultrasound Using the $${\textit{ImFusion Suite}}$$ ImFusion Suite for Real-Time Image Analysis
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    Chapter 7 Markerless Inside-Out Tracking for 3D Ultrasound Compounding
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    Chapter 8 Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks
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    Chapter 9 Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device
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    Chapter 10 Single-Element Needle-Based Ultrasound Imaging of the Spine: An In Vivo Feasibility Study
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    Chapter 11 A Novel Interventional Guidance Framework for Transseptal Puncture in Left Atrial Interventions
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    Chapter 12 Holographic Visualisation and Interaction of Fused CT, PET and MRI Volumetric Medical Imaging Data Using Dedicated Remote GPGPU Ray Casting
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    Chapter 13 Mr. Silva and Patient Zero: A Medical Social Network and Data Visualization Information System
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    Chapter 14 Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model
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    Chapter 15 Resolve Intraoperative Brain Shift as Imitation Game
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    Chapter 16 Non-linear Approach for MRI to intra-operative US Registration Using Structural Skeleton
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    Chapter 17 Brain-Shift Correction with Image-Based Registration and Landmark Accuracy Evaluation
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    Chapter 18 Deformable MRI-Ultrasound Registration Using 3D Convolutional Neural Network
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    Chapter 19 Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool
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    Chapter 20 Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery
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    Chapter 21 Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach
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    Chapter 22 Intra-operative Brain Shift Correction with Weighted Locally Linear Correlations of 3DUS and MRI
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    Chapter 23 Survival Modeling of Pancreatic Cancer with Radiology Using Convolutional Neural Networks
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    Chapter 24 Pancreatic Cancer Survival Prediction Using CT Scans and Clinical Variables
Attention for Chapter 9: Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device
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Chapter title
Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device
Chapter number 9
Book title
Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-01045-4_9
Book ISBNs
978-3-03-001044-7, 978-3-03-001045-4
Authors

Nathan Van Woudenberg, Zhibin Liao, Amir H. Abdi, Hani Girgis, Christina Luong, Hooman Vaseli, Delaram Behnami, Haotian Zhang, Kenneth Gin, Robert Rohling, Teresa Tsang, Purang Abolmaesumi, Van Woudenberg, Nathan, Liao, Zhibin, Abdi, Amir H., Girgis, Hani, Luong, Christina, Vaseli, Hooman, Behnami, Delaram, Zhang, Haotian, Gin, Kenneth, Rohling, Robert, Tsang, Teresa, Abolmaesumi, Purang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Student > Bachelor 2 11%
Student > Master 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Engineering 4 21%
Computer Science 3 16%
Medicine and Dentistry 2 11%
Physics and Astronomy 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 1 5%
Unknown 7 37%