Medical Image Computing and Computer Assisted Intervention - MICCAI 2019

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.

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 withPlastic 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.