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...

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Bibliographic Details
Other Authors: Martel, Anne L. (Editor), Abolmaesumi, Purang (Editor), Stoyanov, Danail (Editor), Mateus, Diana (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2020, 2020
Edition:1st ed. 2020
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics
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