Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI /
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 ;
11769 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Computed Tomography
- Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma
- MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
- Spatial-Frequency Non-Local Convolutional LSTM Network for pRCC classification
- BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization
- Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning
- Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks
- Generating Pareto optimal dose distributions for radiation therapy treatment planning
- PAN: Projective Adversarial Network for Medical Image Segmentation
- Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction
- Multi-Class Gradient Harmonized Dice Loss with Application to Knee MR Image Segmentation
- LSRC: A Long-Short Range Context-Fusing Framework for Automatic 3D Vertebra Localization
- Contextual Deep Regression Network for Volume Estimation in Orbital CT
- Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
- Deep Learning based Metal Artifacts Reduction in post-operative Cochlear Implant CT Imaging
- ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans
- DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy
- Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior
- Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network
- Unsupervised Deformable Image Registration Using Cycle-Consistent CNN
- Volumetric Attention for 3D Medical Image Segmentation and Detection
- Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention
- MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
- Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
- AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
- Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation
- Bronchus Segmentation and Classification by Neural Networks and Linear Programming
- Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models
- Normal appearance autoencoder for lung cancer detection and segmentation
- mlVIRNET: Multilevel Variational Image Registration Network
- NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation
- Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition
- Targeting Precision with Data Augmented Samples in Deep Learning
- Pulmonary Vessel Segmentation based on Orthogonal Fused U-Net++ of Chest CT Images
- Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster
- Deep Variational Networks with Exponential Weighting for Learning Computed Tomography
- R2-Net: Recurrent and Recursive Network for Sparse-view CT Artifacts Removal
- Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT
- Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images
- Tubular Structure Segmentation Using Spatial Fully Connected Network With Radial Distance Loss for 3D Medical Images
- Bronchial Cartilage Assessment with Model-Based GAN Regressor
- Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy
- Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis
- Automatically Localizing a Large Set of Spatially Correlated Key Points: A Case Study in Spine Imaging
- Permutohedral Attention Module for Efficient Non-Local Neural Networks
- Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
- X-ray Imaging
- PRSNet: Part Relation and Selection Network for Bone Age Assessment
- Mask Embedding for Realistic High-resolution Medical Image Synthesis
- TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays
- Misshapen Pelvis Landmark Detection by Spatial Local Correlation Mining for Diagnosing Developmental Dysplasia of the Hip
- Adversarial Policy Gradient for Deep Learning Image Augmentation
- Weakly Supervised ROI Mining Toward Universal Fracture Detection in Pelvic X-ray
- Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
- From Unilateral to Bilateral Learning: Detecting Mammogram Mass with Contrasted Bilateral Network
- Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis
- Uncertainty measurements for the reliable classification of mammograms
- GraphX$^{NET}-$ Chest X-Ray Classification Under Extreme Minimal Supervision
- 3DFPN-HS2: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection
- Automated detection and type classification of central venous catheters in chest X-rays
- A Comprehensive Framework for Accurate Classification of Pulmonary Nodules
- Hand Pose Estimation for Pediatric Bone Age Assessment
- An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms
- Learning-based X-ray Image Denoising utilizing Model-based Image Simulations
- LVC-Net: Medical image segmentation with noisy label based on Local Visual Cues
- Unsupervised Cone-Beam Computed Tomography (CBCT) segmentation based on adversarial learning domain adaptation
- Pick-and-Learn: Automatic Quality Evaluation for Noisy-Labeled Image Segmentation
- Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders
- Simultaneous Lung Field Detection and Segmentation for Pediatric ChestRadiographs
- Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumor, Lymph Nodes, and Organs At Risk
- Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray
- Multi-task Localization and Segmentation for X-ray Guided Planning in Knee Surgery
- Towards fully automatic X-ray to CT registration
- Adaptive image-feature learning for disease classification using inductive graph networks
- How to learn from unlabeled volume data: Self-Supervised 3D Context Feature Learning
- Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis
- Extract Bone Parts without Human Prior: End-to-end Convolutional Neural Network for Pediatric Bone Age Assessment
- Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
- Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays
- Medical-based Deep Curriculum Learning for Improved Fracture Classification
- Realistic Breast Mass Generation through BIRADS Category
- Learning from Longitudinal Mammography Studies
- Automated Radiology Report Generation via Multi-view Image Fusion and Medical Concept Enrichment
- Multi-label Thoracic Disease Image Classification with Cross-attention Networks
- InfoMask: Masked Variational Latent Representation to Localize Chest Disease
- Longitudinal Change Detection on Chest X-rays using Geometric Correlation Maps
- Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation
- Semi-Supervised Learning by Disentangling and Self-Ensembling over Stochastic Latent Space
- An Automated Cobb Angle Estimation Method Using Convolutional Neural Network with Area Limitation
- Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data
- Learning Interpretable Features via Adversarially Robust Optimization
- Synthesize Mammogram from Digital Breast Tomosynthesis with Gradient Guided cGANs
- Semi-supervised Medical Image Segmentation via Learning Consistency under Transformations
- Improved Inference via Deep Input Transfer
- Neural Architecture Search for Adversarial Medical Image Segmentation
- MeshSNet: Deep Multi-Scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces
- Improving Robustness of Medical Image
- Diagnosis with Denoising Convolutional Neural Networks.
