Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III / edited by Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz.

Format:

Book

Contributor:

Martel, Anne L., Editor.

Abolmaesumi, Purang, Editor.

Stoyanov, Danail, Editor.

Mateus, Diana., Editor.

Zuluaga, Maria A., Editor.

Zhou, S. Kevin, Editor.

Racoceanu, Daniel, Editor.

Joskowicz, Leo., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 12263

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12263

Language:

English

Subjects (All):

Computer vision.

Pattern recognition systems.

Artificial intelligence.

Social sciences-Data processing.

Education-Data processing.

Bioinformatics.

Computer Vision.

Automated Pattern Recognition.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Computational and Systems Biology.

Local Subjects:

Computer Vision.

Automated Pattern Recognition.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Computational and Systems Biology.

Physical Description:

1 online resource (XXXVI, 799 pages) : 23 illustrations

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks Part III: CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis Part IV: segmentation; shape models and landmark detection Part V: biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology Part VI: angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging Part VI: brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography.

Contents:

CAI Applications

Reconstructing Sinus Anatomy from Endoscopic Video

Towards a Radiation-free Approach for Quantitative Longitudinal Assessment

Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee

Feasibility check: can audio be a simple alternative to force-based feedback for needle guidance?

A Graph-Based Method for Optimal Active Electrode Selection in Cochlear Implants

Improved resection margins in surgical oncology using intraoperative mass spectrometry

Self-Supervsied Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking

An Interactive Mixed Reality Platform for Bedside Surgical Procedures

Ear Cartilage Inference for Reconstructive Surgery with Convolutional Mesh Autoencoders

Robust Multi-modal 3D Patient Body Modeling

A New Electromagnetic-Video Endoscope Tracking Method via Anatomical Constraints and Historically Observed Differential Evolution

Malocclusion Treatment Planning via PointNet based Spatial Transformation Network

Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning

Local Contractive Registration for Quantification of Tissue Shrinkage in Assessment of Microwave Ablation

Reinforcement Learning of Musculoskeletal Control from Functional Simulations

Image Registration

MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation

Database Annotation with few Examples: An Atlas-based Framework using Diffeomorphic Registration of 3D trees

Pair-wise and Group-wise Deformation Consistency in Deep Registration Network

Semantic Hierarchy Guided Registration Networks for Intra-Subject Pulmonary CT Image Alignment

Highly accurate and memory efficient unsupervised learning-based discrete CT registration using 2.5D displacement search

Unsupervised Learning Model for Registration of Multi-Phase Ultra-Widefield Fluorescein Angiography

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration

Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks

Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination

Flexible Bayesian Modelling for Nonlinear Image Registration

Are Registration Uncertainty and Error Monotonically Associated?

MR-to-US registration using multiclass segmentation of hepatic vasculature with a reduced 3D U-Net

Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble

Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI

Fluid registration between lung CT and stationary chest tomosynthesis images

Anatomical Data Augmentation via Fluid-based Image Registration

Generliazing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration

Instrumentation and Surgical Phase Detection

TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks

Surgical Video Motion Magnification with Suppression of Instrument Artefacts

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets

AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation

Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery

Navigation and Visualization

Can a hand-held navigation device reduce cognitive load? A user-centered approach evaluated by 18 surgeons

Symmetric Dilated Convolution for Surgical Gesture Recognition

Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings

Interacting with Medical Volume Data in Projective Augmented Reality

VR Simulation of Novel Hands-free Interaction Concepts for Surgical Robotic Visualization Systems

Spatially-Aware Displays for Computer Assisted Interventions

Ultrasound Imaging

Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning

Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images

Ultrasound Video Summarization using Deep Reinforcement Learning

Predicting obstructive hydronephrosis based on ultrasound alone

Semi-Supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography

Three-dimensional thyroid assessment from untracked 2D ultrasound clips

Complex Cancer Detector: Complex Neural Networks on Non-stationary Time Series for Guiding Systematic Prostate Biopsy

Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound

Directing Ultrasound Probe Placement for Image Guided Prostate Radiotherapy

Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound

Contrastive Rendering for Ultrasound Image Segmentation

An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation

Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound

Video Image Analysis

ISINet: An Instance-Based Approach for Surgical Instrument Segmentation

Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization

Toward Rapid Stroke Diagnosis with Multimodal Deep Learning

Learning and Reasoning with the Graph Structure Representation in Robotic Surgery

Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity

Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery

Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion

Towards Accurate and Interpretable Surgical Skill Assessment: A Video-Based Method Incorporating Recognized Surgical Gestures and Skill Levels

Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video

Spectral-Spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification

Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery

Perfusion Quantification from Endoscopic Videos: Learning to Read Tumour Signatures

Asynchronous in Parallel Detection and Tracking (AIPDT): Real-time Robust Polyp Detection

OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos

Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis

Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking

Deep Multi-View Stereo for Dense 3D Reconstruction from Monocular Endoscopic Video

Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation.

Other Format:

Printed edition:

ISBN:

978-3-030-59716-0

9783030597160

Access Restriction:

Restricted for use by site license.