Medical Image Computing and Computer Assisted Intervention – MICCAI 2021

24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VI

Häftad, Engelska, 2021

Av Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert, Stephane Cotin

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and machine learning - weakly supervised learningPart III: machine learning - advances in machine learning theory; and clinical applications - vascularPart VII: clinical applications - abdomen; and clinical applications - oncologyPart VIII: clinical applications - ophthalmology;

Produktinformation

Utgivningsdatum2021-09-23
Mått155 x 235 x 36 mm
Vikt990 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor626
FörlagSpringer Nature Switzerland AG
ISBN9783030872304

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Medicinsk bildbehandling inom Medicin
Biovetenskap inom Naturvetenskap och teknik
Tillämpad datateknik inom Data och it

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 MetalArtifact 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 ImageSequence 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.