Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 : 24th International Conference, Strasbourg, France, September 27-October 1, 2021, Proceedings, Part VI / edited by Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert.

Format:

Book

Contributor:

Bruijne, Marleen de, Editor.

Cattin, Philippe C., Editor.

Cotin, Stéphane, Editor.

Padoy, Nicolas., Editor.

Speidel, Stefanie, Editor.

Zheng, Yefeng., Editor.

Essert, Caroline, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12906

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12906

Language:

English

Subjects (All):

Computer vision.

Artificial intelligence.

Pattern recognition systems.

Bioinformatics.

Medical informatics.

Computer Vision.

Artificial Intelligence.

Automated Pattern Recognition.

Computational and Systems Biology.

Health Informatics.

Local Subjects:

Computer Vision.

Artificial Intelligence.

Automated Pattern Recognition.

Computational and Systems Biology.

Health Informatics.

Physical Description:

1 online resource (XXXVI, 626 pages) : 30 illustrations

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

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 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in machine learning theory; machine learning - attention models; machine learning - domain adaptation; machine learning - federated learning; machine learning - interpretability / explainability; and machine learning - uncertainty Part IV: image registration; image-guided interventions and surgery; surgical data science; surgical planning and simulation; surgical skill and work flow analysis; and surgical visualization and mixed, augmented and virtual reality Part V: computer aided diagnosis; integration of imaging with non-imaging biomarkers; and outcome/disease prediction Part VI: image reconstruction; clinical applications - cardiac; and clinical applications - vascular Part VII: clinical applications - abdomen; clinical applications - breast; clinical applications - dermatology; clinical applications - fetal imaging; clinical applications - lung; clinical applications - neuroimaging - brain development; clinical applications - neuroimaging - DWI and tractography; clinical applications - neuroimaging - functional brain networks; clinical applications - neuroimaging - others; and clinical applications - oncology Part VIII: clinical applications - ophthalmology; computational (integrative) pathology; modalities - microscopy; modalities - histopathology; and modalities - ultrasound *The conference was held virtually.

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.

Other Format:

Printed edition:

ISBN:

978-3-030-87231-1

9783030872311

Access Restriction:

Restricted for use by site license.