Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 : 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V / edited by Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan.

Format:

Book

Contributor:

Shen, Dinggang, Editor.

Liu, Tianming, Editor.

Peters, Terry M., Editor.

Staib, Lawrence H., Editor.

Essert, Caroline, Editor.

Zhou, Xiangyun Sean, Editor.

Yap, Pew-Thian, Editor.

Khan, Ali., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11768

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11768

Language:

English

Subjects (All):

Computer vision.

Pattern recognition systems.

Artificial intelligence.

Medical informatics.

Computer Vision.

Automated Pattern Recognition.

Artificial Intelligence.

Health Informatics.

Local Subjects:

Computer Vision.

Automated Pattern Recognition.

Artificial Intelligence.

Health Informatics.

Physical Description:

1 online resource (XXXVI, 695 pages) : 385 illustrations, 284 illustrations in color.

Edition:

1st ed. 2019.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019. The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: optical imaging; endoscopy; microscopy. Part II: image segmentation; image registration; cardiovascular imaging; growth, development, atrophy and progression. Part III: neuroimage reconstruction and synthesis; neuroimage segmentation; diffusion weighted magnetic resonance imaging; functional neuroimaging (fMRI); miscellaneous neuroimaging. Part IV: shape; prediction; detection and localization; machine learning; computer-aided diagnosis; image reconstruction and synthesis. Part V: computer assisted interventions; MIC meets CAI. Part VI: computed tomography; X-ray imaging.

Contents:

Computer Assisted Interventions

Robust Cochlear Modiolar Axis Detection in CT

Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories

Optimizing Clearance of Bézier Spline Trajectories for Minimally-Invasive Surgery

Direct Visual and Haptic Volume Rendering of Medical Data Sets for an Immersive Exploration in Virtual Reality

Triplet Feature Learning on Endoscopic Video Manifold for Real-time Gastrointestinal Image Retargeting

A Novel Endoscopic Navigation System: Simultaneous Endoscope and Radial Ultrasound Probe Tracking Without External Trackers

An Extremely Fast and Precise Convolutional Neural Network for Recognition and Localization of Cataract Surgical Tools

Semi-autonomous Robotic Anastomoses of Vaginal Cuffs using Marker Enhanced 3D Imaging and Path Planning

Augmented Reality "X-Ray Vision" for Laparoscopic Surgery using Optical See-Through Head-Mounted Display

Interactive Endoscopy: A Next-Generation, Streamlined User Interface for Lung Surgery Navigation

Non-invasive Assessment of In Vivo Auricular Cartilage by Ultrashort Echo Time (UTE) T2* Mapping

INN: Inflated Neural Networks for IPMN Diagnosis

Development of an Multi-objective Optimized Planning Method for Microwave Liver Tumor Ablation

Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation

Mask-MCNet: Instance Segmentation in 3D Point Cloud of Intra-oral Scans

Physics-based Deep Neural Network for Augmented Reality during Liver Surgery

Detecting Cannabis-Associated Cognitive Impairment using Resting-state fNIRS

Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training

A Free-view, 3D Gaze-Guided Robotic Scrub Nurse

Haptic Modes for Multiparameter Control in Robotic Surgery

Learning to Detect Collisions for Continuum Manipulators without a Prior Model

Simulation of Balloon-Expandable Coronary Stent Apposition with Plastic Beam Elements

Virtual Cardiac Surgical Planning through Hemodynamics Simulation and Design Optimization of Fontan Grafts

3D Modelling of the residual freezing for renal cryoablation simulation and prediction

A generative model of hyperelastic strain energy density functions for real-time simulation of brain tissue deformation

Variational Mandible Shape Completion for Virtual Surgical Planning

Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery

Towards a first mixed-reality first person point of view needle navigation system

Concept-Centric Visual Turing Tests for Method Validation

Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss

A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-time Endocardial Mapping

FetusMap: Fetal Pose Estimation in 3D Ultrasound

Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound

Learning and Understanding Deep Spatio-Temporal Representations from Free-Hand Fetal Ultrasound Sweeps

User guidance for point-of-care echocardiography using multi-task deep neural network

Integrating 3D Geometry of Organ for Improving Medical Imaging Segmentation

Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects

A New Approach of Predicting Facial Changes following Orthognathic Surgery using Realistic Lip Sliding Effect

An Automatic Approach to Reestablish Final Dental Occlusion for 1-Piece Maxillary Orthognathic Surgery

MIC meets CAI

A Two-stage Framework for Real-time Guidewire Endpoint Localization

Investigating the role of VR in a simulation-based medical planning system for coronary interventions

Learned Full-sampling Reconstruction

A deep regression model for seed localization in prostate brachytherapy

Model-Based Surgical Recommendations for Optimal Placement of Epiretinal Implants

Towards Multiple Instance Learning and Hermann Weyl's Discrepancy for Robust Image-Guided Bronchoscopic Intervention

Learning Where to Look While Tracking Instruments in Robot-assisted Surgery

Efficient Soft-Constrained Clustering for Group-Based Labeling

Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning

Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video

Hard Frame Detection and Online Mapping for Surgical Phase Recognition

Automated Surgical Activity Recognition with One Labeled Sequence

Using 3D Convolutional Neural Networks to learn spatiotemporal features for automatic surgical gesture recognition in video

Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field

Graph Neural Network for Interpreting Task-fMRI Biomarkers

Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images through Recurrent Attention

Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function

Synthesis and Inpainting-based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors

CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation

Gastric cancer detection from endoscopic images using synthesis by GAN

Deep Local-Global Refinement Network for Stent Analysis in IVOCT Images

Generalized Non-Rigid Point Set Registration with Hybrid Mixture Models Considering Anisotropic Positional Uncertainties

Mixed-Supervision Multilevel GAN for Image Quality Enhancement

Combined Learning for Similar Tasks with Domain-Switching Networks

Real-time 3D reconstruction of colonoscopic surfaces for determining missing regions

Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images

A Mesh-Aware Ball-Pivoting Algorithm for Generating the Virtual Arachnoid Mater

Attenuation Imaging with Pulse-Echo Ultrasound based on an Acoustic Reflector

SWTV-ACE: Spatially Weighted Regularization based Attenuation Coefficient Estimation Method for Hepatic Steatosis Detection

Deep Learning-based Universal Beamformer for Ultrasound Imaging

Towards whole placenta segmentation at late gestation using multi-view ultrasound images

Single Shot Needle Tip Localization in 2D Ultrasound

Discriminative Correlation Filter Network for Robust Landmark Tracking in Ultrasound Guided Intervention

Echocardiography Segmentation by Quality Translation using Anatomically Constrained CycleGAN

Matwo-CapsNet: a Multi-Label Semantic Segmentation Capsules Network

LumiPath - Towards Real-time Physically-based Rendering on Embedded Devices

An Integrated Multi-Physics Finite Element Modeling Framework for Deep Brain Stimulation: Preliminary Study on Impact of Brain Shift on Neuronal Pathways.

Other Format:

Printed edition:

ISBN:

978-3-030-32254-0

9783030322540

Access Restriction:

Restricted for use by site license.