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Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

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Table of Contents

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    Book Overview
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    Chapter 1 Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks
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    Chapter 2 Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning
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    Chapter 3 SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks
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    Chapter 4 $$\beta $$ -Hemolysis Detection on Cultured Blood Agar Plates by Convolutional Neural Networks
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    Chapter 5 A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection
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    Chapter 6 Deep Random Walk for Drusen Segmentation from Fundus Images
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    Chapter 7 Retinal Artery and Vein Classification via Dominant Sets Clustering-Based Vascular Topology Estimation
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    Chapter 8 Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images
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    Chapter 9 A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based Fusion
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    Chapter 10 Deep Supervision with Additional Labels for Retinal Vessel Segmentation Task
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    Chapter 11 A Multi-task Network to Detect Junctions in Retinal Vasculature
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    Chapter 12 A Multitask Learning Architecture for Simultaneous Segmentation of Bright and Red Lesions in Fundus Images
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    Chapter 13 Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal Diseases
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    Chapter 14 Multiscale Network Followed Network Model for Retinal Vessel Segmentation
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    Chapter 15 Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images
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    Chapter 16 A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation
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    Chapter 17 Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction
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    Chapter 18 Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning
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    Chapter 19 Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images
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    Chapter 20 Graph CNN for Survival Analysis on Whole Slide Pathological Images
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    Chapter 21 Fully Automated Blind Color Deconvolution of Histopathological Images
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    Chapter 22 Improving Whole Slide Segmentation Through Visual Context - A Systematic Study
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    Chapter 23 Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images
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    Chapter 24 Rotation Equivariant CNNs for Digital Pathology
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    Chapter 25 A Probabilistic Model Combining Deep Learning and Multi-atlas Segmentation for Semi-automated Labelling of Histology
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    Chapter 26 BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images
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    Chapter 27 Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis
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    Chapter 28 Integration of Spatial Distribution in Imaging-Genetics
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    Chapter 29 Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
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    Chapter 30 Cell Detection with Star-Convex Polygons
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    Chapter 31 Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization of Histopathological Images
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    Chapter 32 Learning to Segment 3D Linear Structures Using Only 2D Annotations
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    Chapter 33 A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin
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    Chapter 34 Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images
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    Chapter 35 Synaptic Partner Prediction from Point Annotations in Insect Brains
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    Chapter 36 Synaptic Cleft Segmentation in Non-isotropic Volume Electron Microscopy of the Complete Drosophila Brain
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    Chapter 37 Weakly Supervised Representation Learning for Endomicroscopy Image Analysis
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    Chapter 38 DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening
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    Chapter 39 A Cascaded Refinement GAN for Phase Contrast Microscopy Image Super Resolution
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    Chapter 40 Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT
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    Chapter 41 Analysis of Morphological Changes of Lamina Cribrosa Under Acute Intraocular Pressure Change
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    Chapter 42 Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images
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    Chapter 43 Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images
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    Chapter 44 CapsDeMM: Capsule Network for Detection of Munro’s Microabscess in Skin Biopsy Images
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    Chapter 45 Webly Supervised Learning for Skin Lesion Classification
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    Chapter 46 Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer
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    Chapter 47 Towards Accurate and Complete Registration of Coronary Arteries in CTA Images
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    Chapter 48 Quantifying Tensor Field Similarity with Global Distributions and Optimal Transport
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    Chapter 49 Cardiac Motion Scoring with Segment- and Subject-Level Non-local Modeling
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    Chapter 50 Computational Heart Modeling for Evaluating Efficacy of MRI Techniques in Predicting Appropriate ICD Therapy
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    Chapter 51 Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation
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    Chapter 52 Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling
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    Chapter 53 Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences
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    Chapter 54 Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI
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    Chapter 55 Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation
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    Chapter 56 High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model
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    Chapter 57 Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential
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    Chapter 58 Pulmonary Vessel Tree Matching for Quantifying Changes in Vascular Morphology
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    Chapter 59 MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning
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    Chapter 60 More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring
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    Chapter 61 Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio
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    Chapter 62 TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays
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    Chapter 63 Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement
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    Chapter 64 Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams
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    Chapter 65 Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network
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    Chapter 66 Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays
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    Chapter 67 Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
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    Chapter 68 Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning
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    Chapter 69 RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection
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    Chapter 70 Interaction Techniques for Immersive CT Colonography: A Professional Assessment
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    Chapter 71 Quasi-automatic Colon Segmentation on T2-MRI Images with Low User Effort
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    Chapter 72 Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer
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    Chapter 73 Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN
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    Chapter 74 Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images
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    Chapter 75 Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional Data
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    Chapter 76 Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy
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    Chapter 77 Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector
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    Chapter 78 A Diagnostic Report Generator from CT Volumes on Liver Tumor with Semi-supervised Attention Mechanism
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    Chapter 79 Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images
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    Chapter 80 Deep Active Self-paced Learning for Accurate Pulmonary Nodule Segmentation
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    Chapter 81 CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
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    Chapter 82 Fast CapsNet for Lung Cancer Screening
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    Chapter 83 Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction
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    Chapter 84 Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates
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    Chapter 85 Deep Learning from Label Proportions for Emphysema Quantification
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    Chapter 86 Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation
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    Chapter 87 From Local to Global: A Holistic Lung Graph Model
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    Chapter 88 S4ND : Single-Shot Single-Scale Lung Nodule Detection
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    Chapter 89 Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response
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    Chapter 90 DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection
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    Chapter 91 Statistical Framework for the Definition of Emphysema in CT Scans: Beyond Density Mask
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    Chapter 92 Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification
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    Chapter 93 A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
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    Chapter 94 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes
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    Chapter 95 Deep Generative Breast Cancer Screening and Diagnosis
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    Chapter 96 Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer Diagnosis
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    Chapter 97 Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection
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    Chapter 98 Thermographic Computational Analyses of a 3D Model of a Scanned Breast
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    Chapter 99 Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
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    Chapter 100 AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics
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    Chapter 101 MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency
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    Chapter 102 Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation
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    Chapter 103 A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI
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    Chapter 104 Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network
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    Chapter 105 Estimating Achilles Tendon Healing Progress with Convolutional Neural Networks
Attention for Chapter 34: Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images
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Citations

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Chapter title
Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images
Chapter number 34
Book title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-00934-2_34
Book ISBNs
978-3-03-000933-5, 978-3-03-000934-2
Authors

Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang

View on publisher site

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Researcher 6 13%
Student > Bachelor 6 13%
Student > Master 5 11%
Other 4 9%
Other 5 11%
Unknown 8 18%
Readers by discipline Count As %
Computer Science 16 36%
Medicine and Dentistry 7 16%
Engineering 6 13%
Business, Management and Accounting 1 2%
Economics, Econometrics and Finance 1 2%
Other 2 4%
Unknown 12 27%

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