Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV / edited by Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan.

Format:

Book

Contributor:

Shen, Dinggang, Editor.

Liu, Tianming, Editor.

Peters, Terry M., Editor.

Staib, Lawrence H., Editor.

Essert, Caroline, Editor.

Zhou, Xiangyun Sean, Editor.

Yap, Pew-Thian, Editor.

Khan, Ali., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11767

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11767

Language:

English

Subjects (All):

Computer vision.

Pattern recognition systems.

Artificial intelligence.

Medical informatics.

Computer Vision.

Automated Pattern Recognition.

Artificial Intelligence.

Health Informatics.

Local Subjects:

Computer Vision.

Automated Pattern Recognition.

Artificial Intelligence.

Health Informatics.

Physical Description:

1 online resource (XXXVIII, 809 pages)

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.

Contents:

Shape

A CNN-Based Framework for Statistical Assessment of Spinal Shape and Curvature in Whole-Body MRI Images of Large Populations

Exploiting Reliability-guided Aggregation for the Assessment of Curvilinear Structure Tortuosity

A Surface-theoretic Approach for Statistical Shape Modeling

Shape Instantiation from A Single 2D Image to 3D Point Cloud with One-stage Learning

Placental Flattening via Volumetric Parameterization with Dirichlet Energy Regularization

Fast Polynomial Approximation to Heat Diffusion in Manifolds

Hierarchical Multi-Geodesic Model for Longitudinal Analysis of Temporal Trajectories of Anatomical Shape and Covariates

Clustering of longitudinal shape data sets using mixture of separate or branching trajectories

Group-wise Graph Matching of Cortical Gyral Hinges

Multi-view Graph Matching of Cortical Landmarks

Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators

Surface-Based Spatial Pyramid Matching of Cortical Regions for Analysis of Cognitive Performance

Prediction

Diagnosis-guided multi-modal feature selection for prognosis prediction of lung squamous cell carcinoma

Graph convolution based attention model for personalized disease prediction

Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-rank Feature Learning

Improved Prediction of Cognitive Outcomes via Globally Aligned Imaging Biomarker Enrichments Over Progressions

Deep Granular Feature-Label Distribution Learning for Neuroimaging-based Infant Age Prediction

End-to-End Dementia Status Prediction from Brain MRI using Multi-Task Weakly-Supervised Attention Network

Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression

LSTM Network for Prediction of Hemorrhagic Transformation in Acute Stroke

Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction

Preprocessing, Prediction and Significance: Framework and Application to Brain Imaging

Early Prediction of Alzheimer's Disease progression using Variational Autoencoder

Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions

Detection and Localization

Uncertainty-informed detection of epileptogenic brain malformations using Bayesian neural networks

Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network

Intracranial aneurysms detection in 3D cerebrovascular mesh model with ensemble deep learning

Automated Noninvasive Seizure Detection and Localization Using Switching Markov Models and Convolutional Neural Networks

Multiple Landmarks Detection using Multi-Agent Reinforcement Learning

Spatiotemporal Breast Mass Detection Network (MD-Net) in 4D DCE-MRI Images

Automated Pulmonary Embolism Detection from CTPA Images using an End-to-End Convolutional Neural Network

Pixel-wise anomaly ratings using Variational Auto-Encoders

HR-CAM: Precise Localization of pathology using multi-level learning in CNNs

Novel Iterative Attention Focusing Strategy for Joint Pathology Localization and Diagnosis of MCI Progression

Automatic Vertebrae Recognition from Arbitrary Spine MRI images by a Hierarchical Self-calibration Detection Framework

Machine Learning

Image data validation for medical systems

Captioning Ultrasound Images Automatically

Feature Transformers: Privacy Preserving Life Learning Framework for Healthcare Applications

As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging

Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification

Learning task-specific and shared representations in medical imaging

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Efficient Ultrasound Image Analysis Models with Sonographer Gaze Assisted Distillation

Fetal Pose Estimation in Volumetric MRI using 3D Convolution Neural Network

Multi-Stage Prediction Networks for Data Harmonization

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube

Bayesian Volumetric Autoregressive generative models for better semisupervised learning with scarce Medical imaging data

Data Augmentation for Regression Neural Networks

A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics

Robust and Discriminative Brain Genome Association Analysis

Symmetric Dual Adversarial Connectomic Domain Alignment for Predicting Isomorphic Brain Graph From a Baseline Graph

Harmonization of Infant Cortical Thickness using Surface-to-Surface Cycle-Consistent Adversarial Networks

Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference

Computer-aided Diagnosis

Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis

Fully Deep Learning for Slit-lamp Photo based Nuclear Cataract Grading

Overcoming Data Limitation in Medical Visual Question Answering

Multi-Instance Multi-Scale CNN for Medical Image Classification

Improving Uncertainty Estimation in Convolutional Neural Networks Using Inter-rater Agreement

Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning

DScGANS: Integrate Domain Knowledge in Training Dual-Path Semi-Supervised Conditional Generative Adversarial Networks and S3VM for Ultrasonography Thyroid Nodules Classification

Similarity steered generative adversarial network and adaptive transfer learning for malignancy characterization of hepatocellualr carcinoma

Unsupervised Clustering of Quantitative Imaging Subtypes using Autoencoder and Gaussian Mixture Model

Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis

Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics

Response Estimation through Spatially Oriented Neural Network and Texture Ensemble (RESONATE)

STructural Rectal Atlas Deformation (StRAD) features for characterizing intra- and peri-wall chemoradiation response on MRI

Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis

Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis

Dynamic Spectral Convolution Networks with Assistant Task Training for Early MCI diagnosis

Bridging Imaging, Genetics, and Diagnosis in a Coupled Low-Dimensional Framework

Global and Local Interpretability for Cardiac MRI Classification

Let's agree to disagree: learning highly debatable multirater labelling

Coidentifciation of group-level hole structures in brain networks via Hodge Laplacian

Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers

Image Reconstruction and Synthesis

Detection and Correction of Cardiac MRI Motion Artefacts during Reconstruction from k-space

Exploiting motion for deep learning reconstruction of extremely-undersampled dynamic MRI

VS-Net: Variable spitting network for accelerated parallel MRI reconstruction

A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning

A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging

Consensus Neural Network for Medical Image Denoising with Only Noisy Training Samples

Consistent Brain Ageing Synthesis

Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis using Unpaired Data

Arterial Spin Labeling Images Synthesis via Locally-constrained WGAN-GP Ensemble

SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis

Wavelet-Based Semi-Supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI

DiamondGAN: Unified Multi-Modal Generative Adversarial Networks for MRI Sequences Synthesis.

Other Format:

Printed edition:

ISBN:

978-3-030-32251-9

9783030322519

Access Restriction:

Restricted for use by site license.