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Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017

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Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017
Springer, Cham

Table of Contents

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    Book Overview
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    Chapter 1 Cell Lineage Tracing in Lens-Free Microscopy Videos
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    Chapter 2 Separation of Transmitted Light and Scattering Components in Transmitted Microscopy
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    Chapter 3 Neuron Segmentation Using Deep Complete Bipartite Networks
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    Chapter 4 Cell Encoding for Histopathology Image Classification
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    Chapter 5 Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
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    Chapter 6 Computational Immunohistochemistry: Recipes for Standardization of Immunostaining
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    Chapter 7 Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images
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    Chapter 8 Refocusing Phase Contrast Microscopy Images
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    Chapter 9 Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder
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    Chapter 10 QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data
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    Chapter 11 Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging
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    Chapter 12 Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition
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    Chapter 13 Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery
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    Chapter 14 Quality Assessment of Retinal Hyperspectral Images Using SURF and Intensity Features
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    Chapter 15 Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks
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    Chapter 16 Deep Learning for Isotropic Super-Resolution from Non-isotropic 3D Electron Microscopy
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    Chapter 17 Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images
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    Chapter 18 Accurate Correspondence of Cone Photoreceptor Neurons in the Human Eye Using Graph Matching Applied to Longitudinal Adaptive Optics Images
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    Chapter 19 Active Learning and Proofreading for Delineation of Curvilinear Structures
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    Chapter 20 Tracking the Aortic Lumen Geometry by Optimizing the 3D Orientation of Its Cross-sections
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    Chapter 21 BRANCH:Bifurcation Recognition for Airway Navigation based on struCtural cHaracteristics
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    Chapter 22 Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images
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    Chapter 23 Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network
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    Chapter 24 Automatic Labeling of Vascular Structures with Topological Constraints via HMM
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    Chapter 25 Biomechanical Patient-Specific Model of the Respiratory System Based on 4D CT Scans and Controlled by Personalized Physiological Compliance
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    Chapter 26 CT Image Enhancement for Feature Detection and Localization
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    Chapter 27 Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index
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    Chapter 28 Globally-Optimal Anatomical Tree Extraction from 3D Medical Images Using Pictorial Structures and Minimal Paths
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    Chapter 29 Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation
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    Chapter 30 A Localized Statistical Motion Model as a Reproducing Kernel for Non-rigid Image Registration
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    Chapter 31 Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression
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    Chapter 32 Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching
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    Chapter 33 Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets
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    Chapter 34 Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion
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    Chapter 35 Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks
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    Chapter 36 Retrospective Head Motion Estimation in Structural Brain MRI with 3D CNNs
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    Chapter 37 Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis
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    Chapter 38 Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets
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    Chapter 39 Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video
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    Chapter 40 Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies
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    Chapter 41 Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing
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    Chapter 42 Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks
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    Chapter 43 CardiacNET : Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN
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    Chapter 44 Analysis of Periodicity in Video Sequences Through Dynamic Linear Modeling
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    Chapter 45 Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery
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    Chapter 46 Deep Correlational Learning for Survival Prediction from Multi-modality Data
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    Chapter 47 Compressed Sensing on Multi-pinhole Collimator SPECT Camera for Sentinel Lymph Node Biopsy
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    Chapter 48 Personalized Pancreatic Tumor Growth Prediction via Group Learning
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    Chapter 49 Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation
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    Chapter 50 Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI
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    Chapter 51 Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients
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    Chapter 52 Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis
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    Chapter 53 RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction
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    Chapter 54 Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery
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    Chapter 55 A Time Saver: Optimization Approach for the Fully Automatic 3D Planning of Forearm Osteotomies
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    Chapter 56 DARWIN: Deformable Patient Avatar Representation With Deep Image Network
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    Chapter 57 Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery
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    Chapter 58 A Comparative Study of Breast Surface Reconstruction for Aesthetic Outcome Assessment
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    Chapter 59 DejaVu: Intra-operative Simulation for Surgical Gesture Rehearsal
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    Chapter 60 An Optimal Control Approach for High Intensity Focused Ultrasound Self-Scanning Treatment Planning
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    Chapter 61 A Mixed-Reality Approach to Radiation-Free Training of C-arm Based Surgery
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    Chapter 62 Image-Driven Stochastic Identification of Boundary Conditions for Predictive Simulation
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    Chapter 63 Toward Computer-Assisted Planning for Interstitial Laser Ablation of Malignant Brain Tumors Using a Tubular Continuum Robot
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    Chapter 64 Providing Effective Real-Time Feedback in Simulation-Based Surgical Training
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    Chapter 65 Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy
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    Chapter 66 Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos
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    Chapter 67 UV Exposed Optical Fibers with Frequency Domain Reflectometry for Device Tracking in Intra-arterial Procedures
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    Chapter 68 Real-Time 3D Ultrasound Reconstruction and Visualization in the Context of Laparoscopy
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    Chapter 69 Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks
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    Chapter 70 Motion-Compensated Autonomous Scanning for Tumour Localisation Using Intraoperative Ultrasound
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    Chapter 71 Deep Learning for Sensorless 3D Freehand Ultrasound Imaging
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    Chapter 72 Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery
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    Chapter 73 Learning CNNs with Pairwise Domain Adaption for Real-Time 6DoF Ultrasound Transducer Detection and Tracking from X-Ray Images
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    Chapter 74 An Approach for Needle Based Optical Coherence Elastography Measurements
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    Chapter 75 Concurrent Segmentation and Localization for Tracking of Surgical Instruments
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    Chapter 76 Surgical Soundtracks: Towards Automatic Musical Augmentation of Surgical Procedures
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    Chapter 77 Precise Ultrasound Bone Registration with Learning-Based Segmentation and Speed of Sound Calibration
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    Chapter 78 Convolutional Neural Network and In-Painting Techniques for the Automatic Assessment of Scoliotic Spine Surgery from Biplanar Radiographs
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    Chapter 79 A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue
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    Chapter 80 OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization
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    Chapter 81 Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks
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    Chapter 82 Online Statistical Inference for Large-Scale Binary Images
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    Chapter 83 Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis
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    Chapter 84 A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging
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    Chapter 85 Data-Driven Rank Aggregation with Application to Grand Challenges
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    Chapter 86 Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard
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    Chapter 87 Erratum to: Deep Learning for Sensorless 3D Freehand Ultrasound Imaging
Attention for Chapter 39: Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video
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Chapter title
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video
Chapter number 39
Book title
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-319-66185-8_39
Book ISBNs
978-3-31-966184-1, 978-3-31-966185-8
Authors

Weilin Huang, Christopher P. Bridge, J. Alison Noble, Andrew Zisserman, Huang, Weilin, Bridge, Christopher P., Noble, J. Alison, Zisserman, Andrew

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 25%
Researcher 10 18%
Student > Master 7 13%
Other 4 7%
Student > Bachelor 3 5%
Other 9 16%
Unknown 8 15%
Readers by discipline Count As %
Computer Science 20 36%
Engineering 9 16%
Medicine and Dentistry 9 16%
Physics and Astronomy 2 4%
Agricultural and Biological Sciences 1 2%
Other 3 5%
Unknown 11 20%

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