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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

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Cover of 'Medical Image Computing and Computer Assisted Intervention – MICCAI 2020'

Table of Contents

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    Book Overview
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    Chapter 1 Reconstructing Sinus Anatomy from Endoscopic Video – Towards a Radiation-Free Approach for Quantitative Longitudinal Assessment
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    Chapter 2 Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee
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    Chapter 3 Feasibility Check: Can Audio Be a Simple Alternative to Force-Based Feedback for Needle Guidance?
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    Chapter 4 A Graph-Based Method for Optimal Active Electrode Selection in Cochlear Implants
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    Chapter 5 Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry
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    Chapter 6 Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking
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    Chapter 7 An Interactive Mixed Reality Platform for Bedside Surgical Procedures
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    Chapter 8 Ear Cartilage Inference for Reconstructive Surgery with Convolutional Mesh Autoencoders
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    Chapter 9 Robust Multi-modal 3D Patient Body Modeling
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    Chapter 10 A New Electromagnetic-Video Endoscope Tracking Method via Anatomical Constraints and Historically Observed Differential Evolution
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    Chapter 11 Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network
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    Chapter 12 Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning
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    Chapter 13 Local Contractive Registration for Quantification of Tissue Shrinkage in Assessment of Microwave Ablation
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    Chapter 14 Reinforcement Learning of Musculoskeletal Control from Functional Simulations
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    Chapter 15 MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation
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    Chapter 16 Database Annotation with Few Examples: An Atlas-Based Framework Using Diffeomorphic Registration of 3D Trees
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    Chapter 17 Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network
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    Chapter 18 Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment
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    Chapter 19 Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search
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    Chapter 20 Unsupervised Learning Model for Registration of Multi-phase Ultra-Widefield Fluorescein Angiography
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    Chapter 21 Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks
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    Chapter 22 Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration
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    Chapter 23 Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks
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    Chapter 24 Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination
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    Chapter 25 Flexible Bayesian Modelling for Nonlinear Image Registration
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    Chapter 26 Are Registration Uncertainty and Error Monotonically Associated?
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    Chapter 27 MR-to-US Registration Using Multiclass Segmentation of Hepatic Vasculature with a Reduced 3D U-Net
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    Chapter 28 Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
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    Chapter 29 Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI
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    Chapter 30 Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images
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    Chapter 31 Anatomical Data Augmentation via Fluid-Based Image Registration
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    Chapter 32 Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration
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    Chapter 33 TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks
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    Chapter 34 Surgical Video Motion Magnification with Suppression of Instrument Artefacts
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    Chapter 35 Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
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    Chapter 36 AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation
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    Chapter 37 Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery
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    Chapter 38 Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons
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    Chapter 39 Symmetric Dilated Convolution for Surgical Gesture Recognition
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    Chapter 40 Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings
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    Chapter 41 Interacting with Medical Volume Data in Projective Augmented Reality
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    Chapter 42 VR Simulation of Novel Hands-Free Interaction Concepts for Surgical Robotic Visualization Systems
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    Chapter 43 Spatially-Aware Displays for Computer Assisted Interventions
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    Chapter 44 Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning
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    Chapter 45 Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images
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    Chapter 46 Ultrasound Video Summarization Using Deep Reinforcement Learning
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    Chapter 47 Predicting Obstructive Hydronephrosis Based on Ultrasound Alone
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    Chapter 48 Semi-supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography
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    Chapter 49 Three-Dimensional Thyroid Assessment from Untracked 2D Ultrasound Clips
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    Chapter 50 Complex Cancer Detector: Complex Neural Networks on Non-stationary Time Series for Guiding Systematic Prostate Biopsy
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    Chapter 51 Self-Supervised Contrastive Video-Speech Representation Learning for Ultrasound
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    Chapter 52 Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification
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    Chapter 53 Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound
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    Chapter 54 Contrastive Rendering for Ultrasound Image Segmentation
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    Chapter 55 An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation
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    Chapter 56 Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound
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    Chapter 57 ISINet: An Instance-Based Approach for Surgical Instrument Segmentation
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    Chapter 58 Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization
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    Chapter 59 Toward Rapid Stroke Diagnosis with Multimodal Deep Learning
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    Chapter 60 Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
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    Chapter 61 Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson’s Disease Motor Severity
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    Chapter 62 Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery
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    Chapter 63 Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
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    Chapter 64 Towards Accurate and Interpretable Surgical Skill Assessment: A Video-Based Method Incorporating Recognized Surgical Gestures and Skill Levels
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    Chapter 65 Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video
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    Chapter 66 Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
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    Chapter 67 Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery
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    Chapter 68 Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures
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    Chapter 69 Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection
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    Chapter 70 OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos
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    Chapter 71 Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis
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    Chapter 72 Rethinking Anticipation Tasks: Uncertainty-Aware Anticipation of Sparse Surgical Instrument Usage for Context-Aware Assistance
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    Chapter 73 Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
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    Chapter 74 Deep Multi-view Stereo for Dense 3D Reconstruction from Monocular Endoscopic Video
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    Chapter 75 Endo-Sim2Real: Consistency Learning-Based Domain Adaptation for Instrument Segmentation
Attention for Chapter 6: Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking
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Chapter title
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking
Chapter number 6
Book title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
Published by
Springer, Cham, September 2020
DOI 10.1007/978-3-030-59716-0_6
Book ISBNs
978-3-03-059715-3, 978-3-03-059716-0
Authors

Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Researcher 1 14%
Student > Postgraduate 1 14%
Student > Master 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 3 43%
Psychology 1 14%
Medicine and Dentistry 1 14%
Engineering 1 14%
Unknown 1 14%