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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 33: TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks
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Chapter title
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks
Chapter number 33
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_33
Book ISBNs
978-3-03-059715-3, 978-3-03-059716-0
Authors

Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab, Czempiel, Tobias, Paschali, Magdalini, Keicher, Matthias, Simson, Walter, Feussner, Hubertus, Kim, Seong Tae, Navab, Nassir

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Student > Doctoral Student 6 13%
Student > Bachelor 5 11%
Student > Master 4 9%
Other 2 4%
Other 4 9%
Unknown 19 40%
Readers by discipline Count As %
Computer Science 11 23%
Medicine and Dentistry 7 15%
Engineering 5 11%
Physics and Astronomy 2 4%
Environmental Science 1 2%
Other 3 6%
Unknown 18 38%

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