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.

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 w...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Shen, Dinggang (Editor), Liu, Tianming (Editor), Peters, Terry M. (Editor), Staib, Lawrence H. (Editor), Essert, Caroline (Editor), Zhou, Sean (Editor), Yap, Pew-Thian (Editor), Khan, Ali (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:	1st ed. 2019.
Series:	Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11767 Springer eBook Collection.
Subjects:	Optical data processing. Pattern recognition. Artificial intelligence. Health informatics. Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

Table of 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.

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.

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