Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part IV /
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...
| Corporate Author: | |
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| Other Authors: | , , , , , , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
11767 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-32251-9 |
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.