Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 : 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part VI /
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 ;
12906 |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Image Reconstruction
- Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images
- Over-and-Under Complete Convolutional RNN for MRI Reconstruction
- TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation
- Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network
- Generalised Super Resolution for Quantitative MRI Using Self-Supervised Mixture of Experts
- TransCT: Dual-path Transformer for Low Dose Computed Tomography
- IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation
- DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
- Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
- Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction
- InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction
- Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos
- Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy
- Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
- Generator Versus Segmentor: Pseudo-healthy Synthesis
- Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
- Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose
- RLP-Net: Recursive Light Propagation Network for 3-D Virtual Refocusing
- Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values
- Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
- Universal Undersampled MRI Reconstruction
- A Neural Framework for Multi-Variable Lesion Quantification Through B-mode Style Transfer
- Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction
- Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction
- Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
- Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds
- 3D Transformer-GAN for High-quality PET Reconstruction
- Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction
- U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
- Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
- Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation
- Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections
- Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law
- Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
- Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling
- High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction
- Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
- Acceleration by deep-learnt sharing of superfluous information in multi-contrast MRI
- Sequential Lung Nodule Synthesis using Attribute-guided Generative Adversarial Networks
- A Data-driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging
- Interpretable deep learning for multimodal super-resolution of medical images
- MRI Super-Resolution Through Generative Degradation Learning
- Task-Oriented Low-Dose CT Image Denoising
- Revisiting contour-driven and knowledge-based deformable models: application to 2D-3D proximal femur reconstruction from X-ray images
- Memory-efficient Learning for High-dimensional MRI Reconstruction
- SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation
- Clinical Applications - Cardiac
- Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves
- Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation
- EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis
- Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries
- Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views
- Phase-independent Latent Representation for Cardiac Shape Analysis
- Cardiac Transmembrane Potential Imaging with GCN Based Iterative Soft Threshold Network
- AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs
- TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline
- Clinical Applications - Vascular
- Deep Open Snake Tracker for Vessel Tracing
- MASC-Units: Training Oriented Filters for Segmenting Curvilinear Structures
- Vessel Width Estimation via Convolutional Regression
- Renal Cell Carcinoma Classification from Vascular Morphology.