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
|
| 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: |
| LEADER | 10718nam a22006495i 4500 | ||
|---|---|---|---|
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| 245 | 1 | 0 | |a Medical image computing and computer assisted intervention - MICCAI 2020 : |b 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings. |n 3 |h [E-Book] / |c edited by Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz |
| 250 | |a 1st edition 2020 | ||
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| 490 | |a Image processing, computer vision, pattern recognition, and graphics |v 12263 | ||
| 490 | |a Lecture notes in computer science | ||
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| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 596 | |a 1 | ||
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Education-Data processing. | |
| 650 | 0 | |a Optical data processing. | |
| 650 | 0 | |a Pattern recognition. | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a Data processing | |
| 650 | 4 | |a image analysis | |
| 650 | 4 | |a knowledge representation | |
| 650 | 4 | |a learning | |
| 650 | 4 | |a surgery | |
| 650 | 4 | |a video | |
| 700 | |a Abolmaesumi, Purang, |e Herausgeber | ||
| 700 | |a Joskowicz, Leo, |e Herausgeber | ||
| 700 | |a Martel, Anne L., |e Herausgeber | ||
| 700 | |a Mateus, Diana, |e Herausgeber | ||
| 700 | |a Racoceanu, Daniel, |e Herausgeber | ||
| 700 | |a Stoyanov, Danail, |e Herausgeber | ||
| 700 | |a Zhou, S. Kevin, |e Herausgeber | ||
| 700 | |a Zuluaga, Maria A., |e Herausgeber | ||
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| 932 | |a Computer Science (R0) (SpringerNature-43710) | ||
| 932 | |a Computer Science (SpringerNature-11645) | ||
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