Computational Methods and Clinical Applications for Spine Imaging: 6th International Workshop and Challenge, Csi 2019, Shenzhen, China, October 17, 20, Cai Yunliang, Wang Liansheng, Audette Michel
Описание: This book constitutes the refereed proceedings of the First International Workshop on Connectomics in Artificial Intelligence in Radiation Therapy, AIRT 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 20 full papers presented were carefully reviewed and selected from 24 submissions.
Adaptive Multiple-view Label Propagation for Semi-Supervised Classication.- Container Damage Identication based on Fmask-RCNN.- Multiagent Reinforcement Learning for Combinatorial Optimization.- Extended Kalman Filter-Based Adaptively Sliding Mode Control with Dead-Zone Compensator for An Anchor-Hole Driller.- Exploring Multi-scale Deep Encoder-decoder and PatchGAN for Perceptual Ultrasound Image Super-resolution.- Reliable neighbors-based Collaborative Filtering for Recommendation Systems.- Downhole condition identication for geological drilling processes based on qualitative trend analysis and expert rules.- Adaptive Neural Network Control for Double-Pendulum Tower Crane Systems.- Mengh Generalized Locally-linear embedding: A Neural Network Implementation.- Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine.- Tailored Pruning via Rollback Learning.- Coordinative Hyper-Heuristic Resource Scheduling in Mobile Cellular Networks.- Latent Sparse Discriminative Learning for Face Image Set Classication.- Sparse multi-task least-squares support vector machine.- Discriminative Subspace Learning for Cross-view Classication with Simultaneous Local and Global Alignment.- A Recognition Method of Hand Gesture based on Dual-SDAE.- Image Generation from Layout via Pair-wise RaGAN.- Learning Unsupervised Video Summarization with Semantic-consistent Network.- Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables.- 2-Dimensional Interval Neutrosophic Linguistic Numbers and Their Utilization in Group Decision Making.- Cross-Modal N-Pair Network for Generalized Zero-Shot Learning.- A Bi-Directional Relation Aware Network for Link Prediction in Knowledge Graph.- Deep K-Means: A Simple and Eective Method for Data Clustering.- Brain Storm Optimization Algorithms: A Brief Review.- A Binary Superior Tracking Articial Bee Colony for Feature Selection.- A Hybrid Neural Network RBERT-C based on Pre-trained RoBERTa and CNN for User Intent Classication.- Image Registration Algorithm Based on Manifold Regularization with Thin-plate Spline Model.- Optimal Control of Nonlinear Time-delay Systems with Input Constraints Using Reinforcement Learning.- Disaggregated Power System Signal Recognition using Capsule Network.- Design of echo state network with coordinate descent method and l1 regularization.- An advanced actor-critic algorithm for training video game AI.- Neural Network-Based Adaptive Control for EMS Type Maglev Vehicle Systems with Time-Varying Mass.- A Novel Collision-Avoidance TDMA MAC Protocol for Fog-assisted VCNs.- Design optimization of plate-n heat exchanger using sine cosine algorithm.- Mr-ResNeXt: A Multi-resolution Network Architecture for Detection of Obstructive Sleep Apnea.- Scalable Multi-Agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games.- Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction.- Multi-period Distributed Delay-sensitive Tasks Ooading in a Two-layer Vehicular Fog Computing Architecture.- Template-Enhanced Aspect Term Extraction with Bi-contextual Convolutional Neural Networks.- Privacy Sensitive Large-Margin Model for Face De-identication.- Balancing of Bike-sharing networks via constrained model predictive control.- RLV Reentry Trajectory Optimization Design Based on Improved Differential Evolution Algorithm.- A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition.
Описание: This book constitutes the refereed proceedings of the Third International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015.
Автор: Guoyan Zheng; Daniel Belavy; Yunliang Cai; Shuo Li Название: Computational Methods and Clinical Applications for Spine Imaging ISBN: 303013735X ISBN-13(EAN): 9783030137359 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU.- Predicting Scoliosis in DXA Scans Using Intermediate Representations.- Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery.- Automated Grading of Modic Changes Using CNNs - Improving the Performance with Mix-up.- Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models.- Automated Segmentation of Intervertebral Disc using Fully Dilated Separable Deep Neural Networks.- Intensity Standardization of Skeleton in Follow-up Whole-Body MRI.- Towards a Deformable Multi-Surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning.- Intervertebral Disc Segmentation Using Mathematical Morphology-A CNN-Free Approach.
Описание: This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions.
Описание: This book constitutes the refereed proceedings of the 6th International Workshop on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques for musculoskeletal imaging.
Описание: Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps.- Shape-aware Deep Convolutional Neural Network for Vertebrae Segmentation.- Automated Characterization of Body Composition and Frailty with Clinically Acquired CT.- Unfolded cylindrical projection for rib fracture diagnosis.- 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density.- Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features.- Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients.- Reconstruction of 3D muscle fiber structure using high resolution cryosectioned volume.- Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model.- Attention-driven deep learning for pathological spine segmentation.- Automatic Full Femur Segmentation from Computed Tomography Datasets using an Atlas-Based Approach.- Classification of Osteoporotic Vertebral Fractures using Shape and Appearance Modelling.- DSMS-FCN: A Deeply Supervised Multi-Scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images.
Автор: Hiroyuki Yoshida; Simon Warfield; Michael Vannier Название: Abdominal Imaging. Computational and Clinical Applications ISBN: 3642410820 ISBN-13(EAN): 9783642410826 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images.- Spatially Constrained Incoherent Motion (SCIM) Model Improves Quantitative Diffusion-Weighted MRI Analysis of Crohn's Disease Patients.- Self Similarity Image Registration based on Reorientation of the Hessian.- Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension.- Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard.- Registration of Temporally Separated CT Colonography Cases.- A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps.- A Novel Computer Aided Detection (CADe) Scheme for Colonic Polyps Based on the Structure Decomposition.- Computer-aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation.- Computer-aided Detection of Non-polypoid Flat Lesions in CT Colonography: Observer Performance Study.- Application of Synthetic Sinogram based Low-Dose CT Simulation and Fold-preserving Electronic Cleansing Technique for CT Colonography.- Iterative Reconstruction for Ultra-Low-Dose Laxative-Free CT Colonography.- Global Colon Geometric Structure Analysis Based on Geodesics and Conformal Flattening.- Improved Colon Navigation for Efficient Polyp Detection in Virtual Colonoscopy.- Personalised Estimation of the Arterial Input Function for Improved Pharmacokinetic Modelling of Colorectal Cancer Using dceMRI.- Free-Form Registration Involving Disappearing Structures: Application to Brachytherapy MRI.- Contour-based TVUS-MR Image Registration for Mapping Small Endometrial Implants.- Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours.- Multiphase Liver Registration from Geodesic Distance Maps and Biomechanical Modelling.- Fast Renal Cortex Localization by Combining Generalized Hough Transform and Active Appearance Models.- 3D Surface Reconstruction of Organs Using Patient-Specific Shape Priors in Robot-Assisted Laparoscopic Surgery.- Multi-atlas and Gaussian Mixture Modeling based Perirectal Fat Segmentation from CT Images.- Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound.- Rib Detection in 3D MRI Using Dynamic Programming Based on Vesselness and Ridgeness.- Modeling and Simulation of Soft Tissue Deformation.- Adaptive Confidence Regions of Motion Predictions from Population Exemplar Models.- A Generic, Robust and Fully-automatic Workflow for 3D CT Liver Segmentation.- Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms.- Continuous-Time Flow-limited Modeling by Convolution Area Property and Differentiation Product Rule in 4-Phase Liver Dynamic Contrast-Enhanced CT.- Use of Tracer Kinetic Model-driven Biomarkers for Monitoring Antiangiogenic Therapy of Hepatocellular Carcinoma in First-pass Perfusion CT.- A Statistical Shape Model for Multiple Organs based on Synthesized-based Learning.- A Survey of Cervix Segmentation Methods in Magnetic Resonance Images.
Автор: Hiroyuki Yoshida; Janne J. N?ppi; Sanjay Saini Название: Abdominal Imaging. Computational and Clinical Applications ISBN: 3319136917 ISBN-13(EAN): 9783319136912 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 6th International Workshop ABDI 2014, held in conjunction with MICCAI 2014, in Cambridge, MA, USA, in September 2014. The topics covered are liver and pancreas - ablation, perfusion, and segmentation; gastrointestinal tract - Crohn`s disease; gastrointestinal tract - colonoscopy, colonography;
Описание: This volume constitutes the proceedings of the 19th Asia Simulation Conference, AsiaSim 2019, held in Singapore, Singapore, in October 2019.
The 19 revised full papers and 5 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on simulation and modeling methodology; numerical and Monte Carlo simulation; simulation applications: blockchain, deep learning and cloud; simulation and visualization; simulation applications; short papers.
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