Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 : 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII / 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, 12907

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12907

Language:

English

Subjects (All):

Computer vision.

Artificial intelligence.

Bioinformatics.

Pattern recognition systems.

Medical informatics.

Computer Vision.

Artificial Intelligence.

Computational and Systems Biology.

Automated Pattern Recognition.

Health Informatics.

Local Subjects:

Computer Vision.

Artificial Intelligence.

Computational and Systems Biology.

Automated Pattern Recognition.

Health Informatics.

Physical Description:

1 online resource (XXXIX, 801 pages) : 277 illustrations, 258 illustrations in color.

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:

Clinical Applications - Abdomen

Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy

Learning-based attenuation quantification in abdominal ultrasound

Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment

Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics

Deep-Cleansing: Deep-learning based Electronic Cleansing in Dual-energy CT Colonography

Clinical Applications - Breast

Interactive smoothing parameter optimization in DBT Reconstruction using Deep learning

Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network

Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms

Graph Transformers for Characterization and Interpretation of Surgical Margins

Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

Learned super resolution ultrasound for improved breast lesion characterization

BI-RADS Classification of Calcification on Mammograms

Supervised Contrastive Pre-Training for Mammographic Triage Screening Models

Trainable summarization to improve breast tomosynthesis classification

Clinical Applications - Dermatology

Multi-level Relationship Capture Network for Automated Skin Lesion Recognition

Culprit-Prune-Net: Efficient Continual Sequential Multi-Domain Learning with Application to Skin Lesion Classification

End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers

Automatic Severity Rating for Improved Psoriasis Treatment

Clinical Applications - Fetal Imaging

STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes

Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network

Clinical Applications - Lung

Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19

Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs

Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning

RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting

Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation

Perceptual Quality Assessment of Chest Radiograph

Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance

Chest Radiograph Disentanglement for COVID-19 Outcome Prediction

Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms

LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Clinical Applications - Neuroimaging - Brain Development

Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation

Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates

Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes in Children

Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images

Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation

Joint PVL Detection and Manual Ability Classification using Semi-Supervised Multi-task Learning

Clinical Applications - Neuroimaging - DWI And Tractography

Active Cortex Tractography

Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters

Accurate parameter estimation in fetal diffusion-weighted MRI - learning from fetal and newborn data

Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation

Disentangled and Proportional Representation Learning for Multi-View Brain Connectomes

Quantifying structural connectivity in brain tumor patients

Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI

Clinical Applications - Neuroimaging - Functional Brain Networks

Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold

From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics

Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks

Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis

Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates

Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data

Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query

Estimation of spontaneous neuronal activity using homomorphic filtering

A Matrix Auto-encoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes

Clinical Applications - Neuroimaging - Others

Topological Receptive Field Model for Human Retinotopic Mapping

SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images

LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting

Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging

SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography

Local Morphological Measures Confirm that Folding within Small Partitions of the Human Cortex Follows Universal Scaling Law

Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder

Personalized Matching and Analysis of Cortical Folding Patterns via Patch-Based Intrinsic Brain Mapping

Clinical Applications - Oncology

A Location Constrained Dual-branch Network for Reliable Diagnosis of Jaw Tumors and Cysts

Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint

Parallel Capsule Networks for Classification of White Blood Cells

Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification.

Other Format:

Printed edition:

ISBN:

978-3-030-87234-2

9783030872342

Access Restriction:

Restricted for use by site license.