Medical image computing and computer assisted intervention - MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings. 3 [E-Book] / edited by Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz
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 d...
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| Personal Name(s): | Abolmaesumi, Purang, editor |
| Joskowicz, Leo, editor / Martel, Anne L., editor / Mateus, Diana, editor / Racoceanu, Daniel, editor / Stoyanov, Danail, editor / Zhou, S. Kevin, editor / Zuluaga, Maria A., editor | |
| Edition: |
1st edition 2020 |
| Imprint: |
Cham :
Springer,
2020
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| Physical Description: |
online resource (XXXVI, 799 pages 23 illustrations) |
| Note: |
englisch |
| ISBN: |
9783030597160 |
| DOI: |
10.1007/978-3-030-59716-0 |
| Series Title: |
Image processing, computer vision, pattern recognition, and graphics
12263 Lecture notes in computer science |
| Subject (ZB): | |
| Subject (LOC): | |
| Classification: |
- 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.