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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| Other Authors: | , , , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| 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.