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Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
other
Editor(s):
Alejandro F. Frangi
,
Julia A. Schnabel
,
Christos Davatzikos
,
Carlos Alberola-López
,
Gabor Fichtinger
Publication date
(Print):
2018
Publisher:
Springer International Publishing
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Related collections
Electronic Workshops in Computing (eWiC)
Author and book information
Book
ISBN (Print):
978-3-030-00933-5
ISBN (Electronic):
978-3-030-00934-2
Publication date (Print):
2018
DOI:
10.1007/978-3-030-00934-2
SO-VID:
d7b0fd80-bd4e-4dfd-b3f5-4426bcc7a832
License:
http://www.springer.com/tdm
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Book chapters
pp. E1
Correction to: Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images
pp. 3
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks
pp. 12
Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning
pp. 21
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks
pp. 30
$$\beta $$-Hemolysis Detection on Cultured Blood Agar Plates by Convolutional Neural Networks
pp. 39
A Pixel-Wise Distance Regression Approach for Joint Retinal Optical Disc and Fovea Detection
pp. 48
Deep Random Walk for Drusen Segmentation from Fundus Images
pp. 56
Retinal Artery and Vein Classification via Dominant Sets Clustering-Based Vascular Topology Estimation
pp. 65
Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images
pp. 74
A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based Fusion
pp. 83
Deep Supervision with Additional Labels for Retinal Vessel Segmentation Task
pp. 92
A Multi-task Network to Detect Junctions in Retinal Vasculature
pp. 101
A Multitask Learning Architecture for Simultaneous Segmentation of Bright and Red Lesions in Fundus Images
pp. 109
Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal Diseases
pp. 119
Multiscale Network Followed Network Model for Retinal Vessel Segmentation
pp. 129
Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images
pp. 138
A Deep Model with Shape-Preserving Loss for Gland Instance Segmentation
pp. 147
Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction
pp. 156
Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning
pp. 165
Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images
pp. 174
Graph CNN for Survival Analysis on Whole Slide Pathological Images
pp. 183
Fully Automated Blind Color Deconvolution of Histopathological Images
pp. 192
Improving Whole Slide Segmentation Through Visual Context - A Systematic Study
pp. 201
Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images
pp. 210
Rotation Equivariant CNNs for Digital Pathology
pp. 219
A Probabilistic Model Combining Deep Learning and Multi-atlas Segmentation for Semi-automated Labelling of Histology
pp. 228
BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images
pp. 237
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis
pp. 245
Integration of Spatial Distribution in Imaging-Genetics
pp. 254
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
pp. 274
Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization of Histopathological Images
pp. 283
Learning to Segment 3D Linear Structures Using Only 2D Annotations
pp. 292
A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin
pp. 300
Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images
pp. 309
Synaptic Partner Prediction from Point Annotations in Insect Brains
pp. 317
Synaptic Cleft Segmentation in Non-isotropic Volume Electron Microscopy of the Complete Drosophila Brain
pp. 326
Weakly Supervised Representation Learning for Endomicroscopy Image Analysis
pp. 335
DeepHCS: Bright-Field to Fluorescence Microscopy Image Conversion Using Deep Learning for Label-Free High-Content Screening
pp. 347
A Cascaded Refinement GAN for Phase Contrast Microscopy Image Super Resolution
pp. 356
Multi-context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT
pp. 364
Analysis of Morphological Changes of Lamina Cribrosa Under Acute Intraocular Pressure Change
pp. 372
Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images
pp. 381
Automated Choroidal Neovascularization Detection for Time Series SD-OCT Images
pp. 389
CapsDeMM: Capsule Network for Detection of Munro’s Microabscess in Skin Biopsy Images
pp. 398
Webly Supervised Learning for Skin Lesion Classification
pp. 407
Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer
pp. 419
Towards Accurate and Complete Registration of Coronary Arteries in CTA Images
pp. 428
Quantifying Tensor Field Similarity with Global Distributions and Optimal Transport
pp. 437
Cardiac Motion Scoring with Segment- and Subject-Level Non-local Modeling
pp. 446
Computational Heart Modeling for Evaluating Efficacy of MRI Techniques in Predicting Appropriate ICD Therapy
pp. 455
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation
pp. 464
Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling
pp. 472
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences
pp. 481
Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI
pp. 490
Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation
pp. 499
High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model
pp. 508
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential
pp. 517
Pulmonary Vessel Tree Matching for Quantifying Changes in Vascular Morphology
pp. 525
MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning
pp. 535
More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring
pp. 544
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio
pp. 553
TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays
pp. 562
Localization and Labeling of Posterior Ribs in Chest Radiographs Using a CRF-regularized FCN with Local Refinement
pp. 571
Evaluation of Collimation Prediction Based on Depth Images and Automated Landmark Detection for Routine Clinical Chest X-Ray Exams
pp. 580
Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network
pp. 589
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays
pp. 599
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
pp. 611
Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning
pp. 620
RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection
pp. 629
Interaction Techniques for Immersive CT Colonography: A Professional Assessment
pp. 638
Quasi-automatic Colon Segmentation on T2-MRI Images with Low User Effort
pp. 648
Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer
pp. 657
Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN
pp. 666
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images
pp. 676
Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional Data
pp. 684
Deep 3D Dose Analysis for Prediction of Outcomes After Liver Stereotactic Body Radiation Therapy
pp. 693
Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector
pp. 702
A Diagnostic Report Generator from CT Volumes on Liver Tumor with Semi-supervised Attention Mechanism
pp. 711
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images
pp. 723
Deep Active Self-paced Learning for Accurate Pulmonary Nodule Segmentation
pp. 732
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
pp. 750
Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction
pp. 759
Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates
pp. 768
Deep Learning from Label Proportions for Emphysema Quantification
pp. 777
Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation
pp. 786
From Local to Global: A Holistic Lung Graph Model
pp. 794
S4ND: Single-Shot Single-Scale Lung Nodule Detection
pp. 803
Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response
pp. 812
DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection
pp. 821
Statistical Framework for the Definition of Emphysema in CT Scans: Beyond Density Mask
pp. 833
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification
pp. 841
A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
pp. 851
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes
pp. 859
Deep Generative Breast Cancer Screening and Diagnosis
pp. 868
Integrate Domain Knowledge in Training CNN for Ultrasonography Breast Cancer Diagnosis
pp. 876
Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection
pp. 885
Thermographic Computational Analyses of a 3D Model of a Scanned Breast
pp. 893
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
pp. 921
Automatic Lacunae Localization in Placental Ultrasound Images via Layer Aggregation
pp. 930
A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI
pp. 940
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network
pp. 949
Estimating Achilles Tendon Healing Progress with Convolutional Neural Networks
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