Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Table of Contents

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   Book Overview
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   Chapter 1 Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear
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   Chapter 2 Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising
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   Chapter 3 Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI
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   Chapter 4 DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning
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   Chapter 5 Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss
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   Chapter 6 Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs
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   Chapter 7 Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?
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   Chapter 8 A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging
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    Chapter 9 Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors
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    Chapter 10 A No-Reference Quality Metric for Retinal Vessel Tree Segmentation
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    Chapter 11 Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network
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    Chapter 12 A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI
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    Chapter 13 Gradient Profile Based Super Resolution of MR Images with Induced Sparsity
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    Chapter 14 Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images
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    Chapter 15 High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning
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    Chapter 16 Phase-Sensitive Region-of-Interest Computed Tomography
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    Chapter 17 Some Investigations on Robustness of Deep Learning in Limited Angle Tomography
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    Chapter 18 Adversarial Sparse-View CBCT Artifact Reduction
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    Chapter 19 Nasal Mesh Unfolding – An Approach to Obtaining 2-D Skin Templates from 3-D Nose Models
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    Chapter 20 Towards Generating Personalized Volumetric Phantom from Patient’s Surface Geometry
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    Chapter 21 Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space
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    Chapter 22 A Learning-Based Metal Artifacts Correction Method for MRI Using Dual-Polarity Readout Gradients and Simulated Data
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    Chapter 23 Motion Aware MR Imaging via Spatial Core Correspondence
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    Chapter 24 Nonparametric Density Flows for MRI Intensity Normalisation
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    Chapter 25 Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information
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    Chapter 26 Image Reconstruction by Splitting Deep Learning Regularization from Iterative Inversion
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    Chapter 27 Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
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    Chapter 28 Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging
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    Chapter 29 Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection
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    Chapter 30 Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning
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    Chapter 31 A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks
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    Chapter 32 Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents
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    Chapter 33 Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks
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    Chapter 34 Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
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    Chapter 35 Automatic, Fast and Robust Characterization of Noise Distributions for Diffusion MRI
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    Chapter 36 An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI
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    Chapter 37 Retinal Image Understanding Emerges from Self-Supervised Multimodal Reconstruction
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    Chapter 38 Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis
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    Chapter 39 Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction
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    Chapter 40 Analysis of 3D Facial Dysmorphology in Genetic Syndromes from Unconstrained 2D Photographs
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    Chapter 41 Double Your Views – Exploiting Symmetry in Transmission Imaging
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    Chapter 42 Real Time RNN Based 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip
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    Chapter 43 Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network
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    Chapter 44 3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks
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    Chapter 45 Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network
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    Chapter 46 Towards Radiotherapy Enhancement and Real Time Tumor Radiation Dosimetry Through 3D Imaging of Gold Nanoparticles Using XFCT
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    Chapter 47 Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI
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    Chapter 48 Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks
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    Chapter 49 SPNet: Shape Prediction Using a Fully Convolutional Neural Network
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    Chapter 50 Roto-Translation Covariant Convolutional Networks for Medical Image Analysis
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    Chapter 51 Bimodal Network Architectures for Automatic Generation of Image Annotation from Text
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    Chapter 52 Multimodal Recurrent Model with Attention for Automated Radiology Report Generation
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    Chapter 53 Magnetic Resonance Spectroscopy Quantification Using Deep Learning
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    Chapter 54 A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols
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    Chapter 55 Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
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    Chapter 56 Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples
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    Chapter 57 Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector
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    Chapter 58 3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection
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    Chapter 59 Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
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    Chapter 60 Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
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    Chapter 61 Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation
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    Chapter 62 Training Medical Image Analysis Systems like Radiologists
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    Chapter 63 Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer’s Disease
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    Chapter 64 Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network
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    Chapter 65 Omni-Supervised Learning: Scaling Up to Large Unlabelled Medical Datasets
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    Chapter 66 Recurrent Neural Networks for Classifying Human Embryonic Stem Cell-Derived Cardiomyocytes
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    Chapter 67 Group-Driven Reinforcement Learning for Personalized mHealth Intervention
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    Chapter 68 Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain Multiplexes
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    Chapter 69 FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis
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    Chapter 70 Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval
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    Chapter 71 Exact Combinatorial Inference for Brain Images
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    Chapter 72 Statistical Inference with Ensemble of Clustered Desparsified Lasso
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    Chapter 73 Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification
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    Chapter 74 Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
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    Chapter 75 Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling
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    Chapter 76 Perfect MCMC Sampling in Bayesian MRFs for Uncertainty Estimation in Segmentation
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    Chapter 77 On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation
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    Chapter 78 Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions
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    Chapter 79 Registration-Based Patient-Specific Musculoskeletal Modeling Using High Fidelity Cadaveric Template Model
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    Chapter 80 Atlas Propagation Through Template Selection
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    Chapter 81 Spatio-Temporal Atlas of Bone Mineral Density Ageing
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    Chapter 82 Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
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    Chapter 83 Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration
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    Chapter 84 Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries
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    Chapter 85 Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
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    Chapter 86 GDL-FIRE $$^\text {4D}$$ : Deep Learning-Based Fast 4D CT Image Registration
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    Chapter 87 Adversarial Deformation Regularization for Training Image Registration Neural Networks
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    Chapter 88 Fast Registration by Boundary Sampling and Linear Programming
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    Chapter 89 Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis
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    Chapter 90 Consistent Correspondence of Cone-Beam CT Images Using Volume Functional Maps
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    Chapter 91 Elastic Registration of Geodesic Vascular Graphs
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    Chapter 92 Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage
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    Chapter 93 Initialize Globally Before Acting Locally: Enabling Landmark-Free 3D US to MRI Registration
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    Chapter 94 Solving the Cross-Subject Parcel Matching Problem Using Optimal Transport
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    Chapter 95 GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport
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    Chapter 96 Hierarchical Spherical Deformation for Shape Correspondence
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    Chapter 97 Diffeomorphic brain shape modelling using Gauss-Newton optimisation
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    Chapter 97 MRI Super-Resolution using Multi-Channel Total Variation
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     Chapter 98 Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps
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     Chapter 99 Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification