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Medical Image Computing and Computer Assisted Intervention - MICCAI 2019

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The six-volume set LNCS 11764, 11765, 11766, 11767, 11768, and 11769 constitutes the refereed proceedings of the 22nd Internation... Weiterlesen
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Beschreibung

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.



Inhalt

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.

Produktinformationen

Titel: Medical Image Computing and Computer Assisted Intervention - MICCAI 2019
Untertitel: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V
Editor:
EAN: 9783030322540
Format: E-Book (pdf)
Hersteller: Springer International Publishing
Genre: Anwendungs-Software
Veröffentlichung: 10.10.2019
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 137.85 MB
Anzahl Seiten: 695

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"