Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III

Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (Herausgeber)

Buch | Softcover

XXXVI, 799 Seiten

2020 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-59715-3 (ISBN)

Infos

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

Inhalt

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 DeformationDiffeomorphic 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.-