Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 : 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V /

The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 r...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: de Bruijne, Marleen (Editor), Cattin, Philippe C. (Editor), Cotin, Stéphane (Editor), Padoy, Nicolas (Editor), Speidel, Stefanie (Editor), Zheng, Yefeng (Editor), Essert, Caroline (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12905
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Computer Aided Diagnosis
  • DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search
  • Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference
  • CA-Net: Leveraging Contextual Features for Lung Cancer Prediction
  • Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
  • DAE-GCN: Identifying Disease-Related Features for Disease Prediction
  • Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation
  • Multiple Meta-model Quantifying for Medical Visual Question Answering
  • mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network
  • You Only Learn Once: Universal Anatomical Landmark Detection
  • A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-domain Classification
  • Towards a non-invasive diagnosis of portal hypertension based on an Eulerian CFD model with diffuse boundary conditions
  • A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels
  • Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
  • Conditional Training with Bounding Map for Universal Lesion Detection
  • Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification
  • Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
  • Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI
  • Region Ensemble Network for MCI Conversion Prediction With a Relation Regularized Loss
  • Airway Anomaly Detection by Graph Neural Network
  • Energy-Based Supervised Hashing for Multimorbidity Image Retrieval
  • Stochastic 4D Flow Vector-Field Signatures: A new approach for comprehensive 4D Flow MRI quantification
  • Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
  • ASC-Net: Adversarial-based Selective Network for Unsupervised Anomaly Segmentation
  • Cost-Sensitive Meta-Learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI
  • Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers
  • Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
  • VertNet: Accurate Vertebra Localization and Identification Network from CT Images
  • VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs
  • Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
  • MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound
  • Balanced-MixUp for highly imbalanced medical image classification
  • Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures
  • Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline
  • Towards Robust Dual-view Transformation via Densifying Sparse Supervision for Mammography Lesion Matching
  • DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision
  • Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network
  • LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps
  • Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
  • Alleviating Data Imbalance Issue with Perturbed Input during Inference
  • A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction
  • Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction
  • Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learning for Hepatocellular Carcinoma Grading
  • Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading
  • DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling
  • Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data
  • Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages
  • Seg4Reg+: A Local and Global ConsistencyLearning between Spine Segmentation and CobbAngle Regression
  • Meta-Modulation Network for Domain Generalization in Multi-site fMRI Classification
  • 3D Brain Midline Delineation for Hematoma Patients
  • Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
  • nnDetection: A Self-configuring Method for Medical Object Detection
  • Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal Learning
  • Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling
  • Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy Recognition
  • Asymmetric 3D Context Fusion for Universal Lesion Detection
  • Detecting Outliers with Poisson Image Interpolation
  • MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis
  • Multimodal Multitask Deep Learning for X-Ray Image Retrieval
  • Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait
  • Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
  • Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis
  • Integration of Imaging with Non-Imaging Biomarkers
  • Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
  • Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction
  • Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data
  • A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits
  • Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform
  • Image-derived phenotype extraction for genetic discovery via unsupervised deep learning in CMR images
  • GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference
  • Outcome/Disease Prediction
  • Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network
  • Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images
  • Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata
  • AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases
  • Survival Prediction Based on Histopathology Imaging and Clinical Data: A Novel, Whole Slide CNN Approach
  • Beyond Non-Maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes
  • A Structural Causal Model MR Images of Multiple Sclerosis
  • EMA: Auditing Data Removal from Trained Models
  • AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
  • Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis
  • Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction.