Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part I
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised fu...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer Nature Switzerland
2022, 2022
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| Edition: | 1st ed. 2022 |
| Series: | Lecture Notes in Computer Science
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression
- Functional Brain Networks
- Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification
- Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome
- Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network
- Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network
- Interpretable signature of consciousness in resting-state functional network brain activity
- Nonlinear Conditional Time-varying Granger Causality of Task fMRI via Deep Stacking Networks and Adaptive Convolutional Kernels
- fMRI Neurofeedback Learning Patterns are Predictive of Personal and Clinical Traits
- Multi-head Attention-based Masked Sequence Model for Mapping Functional Brain Networks
- Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images
- FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis
- Reliability-aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification
- Brain Development and Atlases
- Progression models for imaging data with Longitudinal Variational Auto Encoders
- Boundary-Enhanced Self-Supervised Learning for Brain Structure Segmentation
- Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline
- 3D Global Fourier Network for Alzheimer’s Disease Diagnosis using Structural MRI
- CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis
- Interpretable differential diagnosis for Alzheimer’s disease and Frontotemporal dementia
- Is a PET all you need? A multi-modal study for Alzheimer’s disease using 3D CNNs
- Unsupervised Representation Learning of Cingulate Cortical Folding Patterns
- Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer’s disease detection
- Extended Electrophysiological Source Imaging with Spatial Graph Filters
- DWI and Tractography
- Attention mechanisms for physiological signal deep learning: which attention should we take?
- Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance
- Multimodal Contrastive Learning for Prospective Personalized Estimation of CT Organ Dose
- RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment
- A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000.-LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection
- Consistency-based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification
- Self-Rating Curriculum Learning for Localization and Segmentation of Tuberculosis on Chest Radiograph
- Rib Suppression in Digital Chest Tomosynthesis
- Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network
- Dermatology
- Data-Driven Deep Supervision for Skin Lesion Classification
- Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data
- Atlas-powered deep learning (ADL) - application to diffusion weighted MRI
- One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation
- Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner
- An adaptive network with extragradient for diffusion MRI-based microstructure estimation
- Shape-based features of white matter fiber-tracts associated with outcome in Major Depression Disorder
- White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning
- Segmentation of Whole-brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points
- TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers
- Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder
- Neuroimaging
- Characterization of brain activity patterns across states of consciousness based on variational auto-encoders
- Conditional VAEs for confound removal and normative modelling of neurodegenerative diseases
- Semi-supervised learning with data harmonisation for biomarker discovery from resting state fMRI
- Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning
- Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer’s Disease
- Heart and Lung Imaging
- AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images
- Siamese Encoder-based Spatial-Temporal Mixer for Growth Trend Prediction of Lung Nodules on CT Scans
- What Makes for Automatic Reconstruction of Pulmonary Segments
- CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs
- Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation
- Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision
- Diffusion Deformable Model for 4D Temporal Medical Image Generation
- SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-Sequence MRI Diagnosis
- Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification
- Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View
- CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays
- Reinforcement learning for active modality selection during diagnosis
- Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings
- Dual-HINet: Dual Hierarchical Integration Network of Multigraphs for Connectional Brain Template Learning
- RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis
- Modelling Cycles in Brain Networks with the Hodge Laplacian
- Predicting Spatio-Temporal Human Brain Response Using fMRI
- Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer
- Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior
- Embedding Human Brain Function via Transformer
- How Much to Aggregate: Learning Adaptive Node-wise Scales on Graphs for Brain Networks
- Combining multiple atlases to estimate data-driven mappings between functional connectomes using optimal transport
- The Semi-constrained Network-Based Statistic (scNBS): integrating local and global information for brain network inference