Medical Image Computing and Computer Assisted Intervention – MICCAI 2019

Table of Contents

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   Book Overview
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   Chapter 1 Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials
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   Chapter 2 A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image
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   Chapter 3 Multi-index Optic Disc Quantification via MultiTask Ensemble Learning
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   Chapter 4 Retinal Abnormalities Recognition Using Regional Multitask Learning
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   Chapter 5 Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening
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   Chapter 6 Evaluation of Retinal Image Quality Assessment Networks in Different Color-Spaces
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   Chapter 7 3D Surface-Based Geometric and Topological Quantification of Retinal Microvasculature in OCT-Angiography via Reeb Analysis
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   Chapter 8 Limited-Angle Diffuse Optical Tomography Image Reconstruction Using Deep Learning
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    Chapter 9 Data-Driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks
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    Chapter 10 Dual Encoding U-Net for Retinal Vessel Segmentation
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    Chapter 11 A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation
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    Chapter 12 Boundary and Entropy-Driven Adversarial Learning for Fundus Image Segmentation
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    Chapter 13 Unsupervised Ensemble Strategy for Retinal Vessel Segmentation
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    Chapter 14 Fully Convolutional Boundary Regression for Retina OCT Segmentation
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    Chapter 15 PM-Net: Pyramid Multi-label Network for Joint Optic Disc and Cup Segmentation
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    Chapter 16 Biological Age Estimated from Retinal Imaging: A Novel Biomarker of Aging
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    Chapter 17 Task Adaptive Metric Space for Medium-Shot Medical Image Classification
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    Chapter 18 Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization
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    Chapter 19 Deep Multi-label Classification in Affine Subspaces
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    Chapter 20 Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss
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    Chapter 21 A Divide-and-Conquer Approach Towards Understanding Deep Networks
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    Chapter 22 Multiclass Segmentation as Multitask Learning for Drusen Segmentation in Retinal Optical Coherence Tomography
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    Chapter 23 Active Appearance Model Induced Generative Adversarial Network for Controlled Data Augmentation
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    Chapter 24 Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network
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    Chapter 25 Probabilistic Atlases to Enforce Topological Constraints
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    Chapter 26 Synapse-Aware Skeleton Generation for Neural Circuits
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    Chapter 27 Seeing Under the Cover: A Physics Guided Learning Approach for In-bed Pose Estimation
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    Chapter 28 EDA-Net: Dense Aggregation of Deep and Shallow Information Achieves Quantitative Photoacoustic Blood Oxygenation Imaging Deep in Human Breast
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    Chapter 29 Fused Detection of Retinal Biomarkers in OCT Volumes
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    Chapter 30 Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision
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    Chapter 31 Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction In Vivo
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    Chapter 32 Uncertainty Guided Semi-supervised Segmentation of Retinal Layers in OCT Images
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    Chapter 33 Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification
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    Chapter 34 Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation
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    Chapter 35 Deep Sequential Mosaicking of Fetoscopic Videos
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    Chapter 36 Landmark-Guided Deformable Image Registration for Supervised Autonomous Robotic Tumor Resection
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    Chapter 37 Multi-view Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis
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    Chapter 38 Real-Time Surface Deformation Recovery from Stereo Videos
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    Chapter 39 Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier
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    Chapter 40 From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification
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    Chapter 41 Multi-scale Cell Instance Segmentation with Keypoint Graph Based Bounding Boxes
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    Chapter 42 Improving Nuclei/Gland Instance Segmentation in Histopathology Images by Full Resolution Neural Network and Spatial Constrained Loss
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    Chapter 43 Synthetic Augmentation and Feature-Based Filtering for Improved Cervical Histopathology Image Classification
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    Chapter 44 Cell Tracking with Deep Learning for Cell Detection and Motion Estimation in Low-Frame-Rate
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    Chapter 45 Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images
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    Chapter 46 Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype
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    Chapter 47 Pathology-Aware Deep Network Visualization and Its Application in Glaucoma Image Synthesis
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    Chapter 48 CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
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    Chapter 49 ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation
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    Chapter 50 Instance Segmentation of Biomedical Images with an Object-Aware Embedding Learned with Local Constraints
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    Chapter 51 Diverse Multiple Prediction on Neuron Image Reconstruction
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    Chapter 52 Deep Segmentation-Emendation Model for Gland Instance Segmentation
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    Chapter 53 Fast and Accurate Electron Microscopy Image Registration with 3D Convolution
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    Chapter 54 PlacentaNet: Automatic Morphological Characterization of Placenta Photos with Deep Learning
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    Chapter 55 Deep Multi-instance Learning for Survival Prediction from Whole Slide Images
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    Chapter 56 High-Resolution Diabetic Retinopathy Image Synthesis Manipulated by Grading and Lesions
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    Chapter 57 Deep Instance-Level Hard Negative Mining Model for Histopathology Images
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    Chapter 58 Synthetic Patches, Real Images: Screening for Centrosome Aberrations in EM Images of Human Cancer Cells
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    Chapter 59 Patch Transformer for Multi-tagging Whole Slide Histopathology Images
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    Chapter 60 Pancreatic Cancer Detection in Whole Slide Images Using Noisy Label Annotations
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    Chapter 61 Encoding Histopathological WSIs Using GNN for Scalable Diagnostically Relevant Regions Retrieval
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    Chapter 62 Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification
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    Chapter 63 Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer
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    Chapter 64 Precise Separation of Adjacent Nuclei Using a Siamese Neural Network
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    Chapter 65 PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
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    Chapter 66 DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks
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    Chapter 67 Unsupervised Subtyping of Cholangiocarcinoma Using a Deep Clustering Convolutional Autoencoder
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    Chapter 68 Evidence Localization for Pathology Images Using Weakly Supervised Learning
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    Chapter 69 Nuclear Instance Segmentation Using a Proposal-Free Spatially Aware Deep Learning Framework
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    Chapter 70 GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy
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    Chapter 71 IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
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    Chapter 72 Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response
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    Chapter 73 Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction, and Functional Statistics to Understand Fixation in Fluorescence Microscopy
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    Chapter 74 ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images
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    Chapter 75 Multi-task Learning of a Deep K-Nearest Neighbour Network for Histopathological Image Classification and Retrieval
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    Chapter 76 Multiclass Deep Active Learning for Detecting Red Blood Cell Subtypes in Brightfield Microscopy
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    Chapter 77 Enhanced Cycle-Consistent Generative Adversarial Network for Color Normalization of H&E Stained Images
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    Chapter 78 Nuclei Segmentation in Histopathological Images Using Two-Stage Learning
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    Chapter 79 ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths
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    Chapter 80 CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation
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    Chapter 81 PseudoEdgeNet: Nuclei Segmentation only with Point Annotations
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    Chapter 82 Adversarial Domain Adaptation and Pseudo-Labeling for Cross-Modality Microscopy Image Quantification
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    Chapter 83 Progressive Learning for Neuronal Population Reconstruction from Optical Microscopy Images
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    Chapter 84 Whole-Sample Mapping of Cancerous and Benign Tissue Properties
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    Chapter 85 Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification
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    Chapter 86 Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography
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    Chapter 87 DME-Net: Diabetic Macular Edema Grading by Auxiliary Task Learning
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    Chapter 88 Attention Guided Network for Retinal Image Segmentation
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    Chapter 89 An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes