Machine Learning in Medical Imaging 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings /
This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.* The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions...
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Other Authors: | , , , , |
Format: | Electronic eBook |
Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2021.
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Edition: | 1st ed. 2021. |
Series: | LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ;
12966. |
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Full text (Wentworth users only) |
Table of Contents:
- Contrastive Representations for Continual Learning of Fine-grained Histology Images
- Learning Transferable 3D-CNN for MRI-based Brain Disorder Classification from Scratch: An Empirical Study
- Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks
- Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation
- Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision
- Variational Encoding and Decoding for Hybrid Supervision of Registration Network
- Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning
- Learning to Synthesize 7T MRI from 3T MRI with Few Data by Deformable Augmentation
- Rethinking Pulmonary Nodule Detection in Multi-view 3D CT Point Cloud Representation
- End-to-end lung nodule detection framework with model-based feature projection block
- Learning Structure from Visual SemanticFeatures and Radiology Ontology for LymphNode Classification on MRI
- Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
- Cell Counting by a Location-Aware Network
- Exploring Gyro-Sulcal Functional Connectivity Differences across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks
- StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis
- Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray Images
- Transfer learning with a layer dependent regularization for medical image segmentation
- Multi-Scale Self-Supervised Learning for Multi-Site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts
- Deep active learning for dual-view mammogram analysis
- Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
- Semi-supervised Learning Regularized by Adversarial Perturbation and Diversity Maximization
- TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes
- A Recurrent Two-stage Anatomy-guided Network for Registration of Liver DCE-MRI
- Learning Infancy Brain Developmental Connectivity for the Cognitive Score Prediction
- Hierarchical 3D Feature Learning for Pancreas Segmentation
- Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction
- Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images using Structure-Constrained Super-Resolution Network
- U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
- Pre-biopsy multi-class classification of breast lesion pathology in mammograms
- Co-Segmentation of Multi-Modality Spinal Images Using Channel and Spatial Attention
- Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data
- STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains
- Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
- MIST GAN: Modality Imputation using Style Transfer for MRI
- Biased Extrapolation in Latent Space for Imbalanced Deep Learning
- 3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment
- A Gaussian Process Model for Unsupervised Analysis of High Dimensional Shape Data
- Standardized Analysis of Kidney Ultrasound Images for the Prediction of Pediatric Hydronephrosis Severity
- Automated deep learning-based detection of osteoporotic fractures in CT images
- GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation
- Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
- Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling
- TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising
- Self-supervised Mean Teacher for Semi-supervisedChest X-ray Classification
- VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning
- Using Spatio-Temporal Correlation based Hybrid Plug-and-Play Priors (SEABUS) for Accelerated Dynamic Cardiac Cine MRI
- Window-Level is a Strong Denoising Surrogate
- Cardiovascular disease risk improves COVID-19 patient outcome prediction
- Self-Supervision Based Dual-Transformation Learning for Stain Normalization, Classification and Segmentation
- Deep Representation Learning for Image-Based Cell Profiling
- Detecting Extremely Small Lesions with Point Annotations via Multi-task Learning
- Morphology-guided Prostate MRI Segmentation with Multi-slice Association
- Unsupervised Cross-modality Cardiac Image Segmentation via Disentangled Representation Learning and Consistency Regularization
- Landmark-Guided Rigid Registration for Temporomandibular Joint MRI-CBCT Images with Large Field-of-View Difference
- Spine-rib Segmentation and Labeling via Hierarchical Matching and Rib-guided Registration
- Multi-scale Segmentation Network for Rib Fracture Classification from CT Images
- Knowledge-guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
- Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
- CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries
- A Hybrid Deep Registration of MR Scans to Interventional Ultrasound for Neurosurgical Guidance
- Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging
- SkullEngine: A Multi-Stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection
- Skull Segmentation from CBCT Images via Voxel-based Rendering
- Alzheimer's Disease Diagnosis via Deep Factorization Machine Models
- 3D Temporomandibular Joint CBCT Image Segmentation via Multi-directional Resampling Ensemble Learning Network
- Vox2Surf: Implicit Surface Reconstruction from Volumetric Data
- Clinically Correct Report Generation from Chest X-rays using Templates
- Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification
- Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI for Brain Disease Classification
- Detection of Lymph Nodes in T2 MRI using Neural Network Ensembles
- Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection.