Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VI
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually d...
Other Authors: | , , , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2020, 2020
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Edition: | 1st ed. 2020 |
Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking andSegmentation in 4D Echocardiography
- Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets
- Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction
- Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study
- Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules
- Multi-stream Progressive Up-sampling Network for Dense CT Image Reconstruction
- Abnormality Detection in Chest X-ray Images Using Uncertainty Prediction Autoencoders
- Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification
- CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
- Interpretable Identification of Interstitial Lung Diseases (ILD) Associated Findings from CT
- GAN-based Realistic Bone Ultrasound Image and Label Synthesis for Improved Segmentation
- Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition
- Angiography and Vessel Analysis
- Lightweight Double Attention-fused Networks for Intraoperative Stent Segmentation
- TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling
- Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
- Branch-aware Double DQN for Centerline Extraction in Coronary CT Angiography
- Automatic CAD-RADS Scoring from CCTA Scans using Deep Learning
- Higher-Order Flux with Spherical Harmonics Transform for Vascular Analysis
- Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network
- Automated Intracranial Artery Labeling using a Graph Neural Network and Hierarchical Refinement
- Time matters: Handling spatio-temporal perfusion information for automated TICI scoring
- ID-Fit: Intra-saccular Device adjustment for personalized cerebral aneurysm treatment
- JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation
- Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models
- Multi-task learning for detection and classification of cancer in screening mammography
- Colonoscopy
- Adaptive Context Selection for Polyp Segmentation
- PraNet: Parallel Reverse Attention Network for Polyp Segmentation
- Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
- PolypSeg: an Efficient Context-aware Network for Polyp Segmentation from Colonoscopy Videos
- Endoscopic polyp segmentation using a hybrid 2D/3D CNN
- Dermatology
- A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images
- Fairness of Classifiers Across Skin Tones in Dermatology
- Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification
- Clinical-Inspired Network for Skin Lesion Recognition
- Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images
- Learning with Sure Data for Nodule-Level Lung Cancer Prediction
- Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
- Class-Aware Multi-Window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features
- Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation
- Deep Active Learning for Effective Pulmonary Nodule Detection
- Musculoskeletal Imaging
- Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity
- Improve bone age assessment by learning from anatomical local regions
- An Analysis by Synthesis Method that Allows Accurate Spatial Modeling of Thickness of Cortical Bone from Clinical QCT
- Segmentation of Paraspinal Muscles at Varied Lumbar Spinal Levels by Explicit Saliency-Aware Learning
- Manifold Ordinal-Mixup for Ordered Classes inTW3-based Bone Age Assessment
- Contour-based Bone Axis Detection for X-Ray Guided Surgery on the Knee
- Fetal Imaging
- Deep learning automatic fetal structures segmentation in MRI scans with few annotated datasets
- Data-Driven Multi-Contrast Spectral Microstructure Imaging with InSpect
- Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI consistency
- Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy
- Automatic angle of progress measurement of intrapartum transperineal ultrasound image with deep learning
- Joint Image Quality Assessment and Brain Extraction of Fetal MRI using Deep Learning
- Heart and Lung Imaging
- Accelerated 4D Respiratory Motion-resolved Cardiac MRI with a Model-based Variational Network
- Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
- ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation
- A Bottom-up Approach for Real-time Mitral Valve Annulus Modeling on 3D Echo Images
- Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images
- Vascular surface segmentation for intracranial aneurysm isolation and quantification
- Breast Imaging
- Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities
- 2D X-ray mammography and 3D breast MRI registration
- A Second-order Subregion Pooling Network for Breast Ultrasound Lesion Segmentation
- Multi-Scale Gradational-Order Fusion Framework for Breast lesions Classification Using Ultrasound images
- Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network
- Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
- MommiNet: Mammographic Multi-View Mass Identification Networks
- Multi-Site Evaluation of a Study-Level Classifier for Mammography using Deep Learning
- The case of missed cancers: Applying AI as a radiologist’s safety net
- Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks
- Discriminative dictionary-embedded network for comprehensivevertebrae tumor diagnosis
- Multi-vertebrae segmentation from arbitrary spine MR images under global view
- A Convolutional Approach to Vertebrae Identification in Whole Spine MRI
- Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification
- Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection
- 3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT
- SIMBA: Specific Identity Markers for Bone Age Assessment
- Doctor Imitator: A Graph-based Bone Age Assessment Framework Using Hand Radiographs
- Inferring the 3D Standing Spine Posture from 2D Radiographs
- Generative Modelling of 3D in-silico Spongiosa with Controllable Micro-Structural Parameters