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Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

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Cover of 'Medical Image Computing and Computer Assisted Intervention – MICCAI 2019'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma
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    Chapter 2 MVP-Net: Multi-view FPN with Position-Aware Attention for Deep Universal Lesion Detection
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    Chapter 3 Spatial-Frequency Non-local Convolutional LSTM Network for pRCC Classification
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    Chapter 4 BCD-Net for Low-Dose CT Reconstruction: Acceleration, Convergence, and Generalization
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    Chapter 5 Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning
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    Chapter 6 Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks
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    Chapter 7 Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning
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    Chapter 8 PAN: Projective Adversarial Network for Medical Image Segmentation
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    Chapter 9 Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction
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    Chapter 10 Multi-class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation
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    Chapter 11 LSRC: A Long-Short Range Context-Fusing Framework for Automatic 3D Vertebra Localization
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    Chapter 12 Contextual Deep Regression Network for Volume Estimation in Orbital CT
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    Chapter 13 Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
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    Chapter 14 Deep Learning Based Metal Artifacts Reduction in Post-operative Cochlear Implant CT Imaging
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    Chapter 15 ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans
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    Chapter 16 DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy
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    Chapter 17 Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior
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    Chapter 18 Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network
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    Chapter 19 Unsupervised Deformable Image Registration Using Cycle-Consistent CNN
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    Chapter 20 Volumetric Attention for 3D Medical Image Segmentation and Detection
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    Chapter 21 Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention
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    Chapter 22 MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
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    Chapter 23 Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
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    Chapter 24 AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
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    Chapter 25 Integrating Cross-modality Hallucinated MRI with CT to Aid Mediastinal Lung Tumor Segmentation
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    Chapter 26 Bronchus Segmentation and Classification by Neural Networks and Linear Programming
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    Chapter 27 Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models
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    Chapter 28 Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation
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    Chapter 30 NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation
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    Chapter 31 Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition
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    Chapter 32 Targeting Precision with Data Augmented Samples in Deep Learning
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    Chapter 33 Pulmonary Vessel Segmentation Based on Orthogonal Fused U-Net++ of Chest CT Images
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    Chapter 34 Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster
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    Chapter 35 Deep Variational Networks with Exponential Weighting for Learning Computed Tomography
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    Chapter 36 R $$^{2}$$ 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal
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    Chapter 37 Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT
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    Chapter 38 Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images
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    Chapter 39 Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images
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    Chapter 40 Bronchial Cartilage Assessment with Model-Based GAN Regressor
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    Chapter 41 Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy
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    Chapter 42 Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
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    Chapter 43 Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging
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    Chapter 44 Permutohedral Attention Module for Efficient Non-local Neural Networks
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    Chapter 45 Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
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    Chapter 46 PRSNet: Part Relation and Selection Network for Bone Age Assessment
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    Chapter 47 Mask Embedding for Realistic High-Resolution Medical Image Synthesis
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    Chapter 48 TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays
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    Chapter 49 Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Diagnosing Developmental Dysplasia of the Hip
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    Chapter 50 Adversarial Policy Gradient for Deep Learning Image Augmentation
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    Chapter 51 Weakly Supervised Universal Fracture Detection in Pelvic X-Rays
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    Chapter 52 Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
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    Chapter 53 From Unilateral to Bilateral Learning: Detecting Mammogram Masses with Contrasted Bilateral Network
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    Chapter 54 Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis
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    Chapter 55 Uncertainty Measurements for the Reliable Classification of Mammograms
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    Chapter 56 GraphX $$^\mathbf{\small NET } -$$ N E T - Chest X-Ray Classification Under Extreme Minimal Supervision
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    Chapter 57 3DFPN-HS $$^2$$ 2 : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection
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    Chapter 58 Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays
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    Chapter 59 Hand Pose Estimation for Pediatric Bone Age Assessment
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    Chapter 60 An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms
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    Chapter 61 Learning-Based X-Ray Image Denoising Utilizing Model-Based Image Simulations
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    Chapter 62 LVC-Net: Medical Image Segmentation with Noisy Label Based on Local Visual Cues
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    Chapter 63 Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation
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    Chapter 64 Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation
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    Chapter 65 Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders
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    Chapter 66 Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs
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    Chapter 67 Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk
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    Chapter 68 Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray
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    Chapter 69 Multi-task Localization and Segmentation for X-Ray Guided Planning in Knee Surgery
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    Chapter 70 Towards Fully Automatic X-Ray to CT Registration
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    Chapter 71 Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks
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    Chapter 72 How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning
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    Chapter 73 Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis
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    Chapter 74 Extract Bone Parts Without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment
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    Chapter 75 Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
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    Chapter 76 Adversarial Regression Training for Visualizing the Progression of Chronic Obstructive Pulmonary Disease with Chest X-Rays
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    Chapter 77 Medical-based Deep Curriculum Learning for Improved Fracture Classification
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    Chapter 78 Realistic Breast Mass Generation Through BIRADS Category
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    Chapter 79 Learning from Longitudinal Mammography Studies
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    Chapter 80 Automatic Radiology Report Generation Based on Multi-view Image Fusion and Medical Concept Enrichment
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    Chapter 81 Multi-label Thoracic Disease Image Classification with Cross-Attention Networks
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    Chapter 82 InfoMask: Masked Variational Latent Representation to Localize Chest Disease
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    Chapter 83 Longitudinal Change Detection on Chest X-rays Using Geometric Correlation Maps
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    Chapter 84 Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation
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    Chapter 85 Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space
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    Chapter 86 An Automated Cobb Angle Estimation Method Using Convolutional Neural Network with Area Limitation
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    Chapter 87 Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data
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    Chapter 88 Learning Interpretable Features via Adversarially Robust Optimization
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    Chapter 89 Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs
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    Chapter 90 Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations
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    Chapter 91 Improved Inference via Deep Input Transfer
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    Chapter 92 Neural Architecture Search for Adversarial Medical Image Segmentation
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    Chapter 93 MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces
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    Chapter 94 Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks
Attention for Chapter 75: Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
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