Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II /
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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , , , , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Έκδοση: | 1st ed. 2019. |
| Σειρά: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
11765 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Image Segmentation
- Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation
- Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound
- Unsupervised Quality Control of Image Segmentation based on Bayesian Learning
- One Network To Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation
- 'Project & Excite' Modules for Segmentation of Volumetric Medical Scans
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
- Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation
- Extreme Points Derived Confidence Map as a Cue For Class-Agnostic Segmentation Using Deep Neural Network
- Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation
- Instance Segmentation from Volumetric Biomedical Images without Voxel-Wise Labeling
- Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice
- Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
- HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images
- PHiSeg: Capturing Uncertainty in Medical Image Segmentation
- Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data
- Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
- 3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images
- Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation
- Statistical intensity- and shape-modeling to automate cerebrovascular segmentation from TOF-MRA data
- Segmentation of Vessels in Ultra High Frequency Ultrasound Sequences using Contextual Memory
- Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion
- Mixed-Supervised Dual-Network for Medical Image Segmentation
- Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks
- Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation
- Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images
- Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation
- Radiomics-guided GAN for Segmentation of Liver Tumor without Contrast Agents
- Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Fully Convolutional Neural Networks
- Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
- Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss
- Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation
- Collaborative Multi-agent Learning for MR Knee Articular Cartilage Segmentation
- 3D U2-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation
- Impact of Adversarial Examples on Deep Learning Segmentation Models
- Multi-Resolution Path CNN with Deep Supervision for Intervertebral Disc Localization and Segmentation
- Automatic paraspinal muscle segmentation in patients with lumbar pathology using deep convolutional neural network
- Constrained Domain Adaptation for Segmentation
- Image Registration
- Image-and-Spatial Transformer Networks for Structure-Guided Image Registration
- Probabilistic Multilayer Regularization Network for Unsupervised 3D Brain Image Registration
- A deep learning approach to MR-less spatial normalization for tau PET images
- TopAwaRe: Topology-Aware Registration
- Multimodal Data Registration for Brain Structural Association Networks
- Dual-Stream Pyramid Registration Network
- A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration
- Conditional Segmentation in Lieu of Image Registration
- On the applicability of registration uncertainty
- DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation
- Linear Time Invariant Model based Motion Correction (LiMo-Moco) of Dynamic Radial Contrast Enhanced MRI
- Incompressible image registration using divergence-conforming B-splines
- Cardiovascular Imaging
- Direct Quantification for Coronary Artery Stenosis Using Multiview Learning
- Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization
- Discriminative Coronary Artery Tracking via 3D CNN in Cardiac CT Angiography
- Multi-modality Whole-Heart and Great Vessel Segmentation in Congenital Heart Disease using Deep Neural Networks and Graph Matching
- Harmonic Balance Techniques in Cardiovascular Fluid Mechanics
- Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking
- k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations
- Model-based reconstruction for highly accelerated first-pass perfusion cardiac MRI
- Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view images
- Right Ventricle Segmentation in Short-Axis MRI Using A Shape Constrained Dense Connected U-net
- Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
- A Fine-Grain Error Map Prediction and Segmentation Quality Assessment Framework for Whole-Heart Segmentation
- Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors
- Curriculum semi-supervised segmentation
- A Multi-modal Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information
- 3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata
- Discriminative Consistent Domain Generation for Semi-supervised Learning
- Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
- MSU-Net: Multiscale Statistical U-Net for Real-time 3D Cardiac MRI Video Segmentation
- The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN
- Cardiac MRI Segmentation with Strong Anatomical Guarantees
- Decompose-and-Integrate Learning for Multi-class Segmentation in Medical Images
- Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets
- Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks
- Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation
- Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation
- Echocardiography View Classification Using Quality Transfer Star Generative Adversarial Networks
- Dual-view Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms
- Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model
- Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
- DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning
- Texture-based classification of significant stenosis in CCTA multi-view images of coronary arteries
- Fourier Spectral Dynamic Data Assimilation: Interlacing CFD with 4D flow MRI
- Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging
- HFA-Net: 3D Cardiovascular Image Segmentation with Asymmetrical Pooling and Content-Aware Fusion
- Spectral CT based training dataset generation and augmentation for conventional CT vascular segmentation
- Context-Aware Inductive Bias Learning for Vessel Border Detection in Multi-modal Intracoronary Imaging
- Growth, Development, Atrophy and Progression
- Neural parameters estimation for brain tumor growth modeling
- Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation
- Deep Probabilistic Modeling of Glioma Growth
- Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brains
- Variational Autoencoder for Regression: Application to Brain Aging Analysis
- Early Development of Infant Brain Complex Network
- Revealing Developmental
- Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties
- Continually Modeling Alzheimer's Disease Progression via Deep Multi-Order Preserving Weight Consolidation
- Disease Knowledge Transfer across Neurodegenerative Diseases.
