Book — 1 online resource (xi, 155 pages) : illustrations Digital: text file.PDF.
This book contains revised and extended selected papers from two workshops: the 10th International Workshop on Agents Applied in Health Care, A2HC 2017, held at the 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in Sao Paulo, Brazil, in May 2017, and the International Workshop on Agents and Multi-Agent Systems for AAL and e-Health, A-HEALTH 2017, held at the 15th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2017, in Porto, Portugal, in June 2017. The 9 revised full papers were carefully reviewed and selected from 16 submissions. They feature current research topics such as personalised health systems for remote and autonomous tele-assistance, communication and co-operation between distributed intelligent agents to manage patient care, information agents that retrieve medical information from distributed repositories, intelligent and distributed data mining, and multi-agent systems that assist the doctors in the tasks of monitoring, decision support and diagnosis. . (source: Nielsen Book Data)
Book — 1 online resource (x, 239 pages) : illustrations Digital: text file.PDF.
Patient Flow Monitoring Systems: Investigation of Alternatives.- Retrofitting Communication Security into a Publish/Subscribe Middleware Platform.- Towards an AADL-Based Definition of App Architectures for Medical Application Platforms.- Energy-Aware Model-Driven Development of a Wearable Healthcare Device.- Reasoning About Confidence and Uncertainty in Assurance Cases: A Survey.- Building semantic causal models to predict treatment adherence for tuberculosis patients in sub-Saharan Africa.- From Requirements to Code: Model Based Development of a Medical Cyber Physical System.- Demonstrating that medical devices satisfy user related safety requirements.- Secure and Customizable EHR Management Services with COASTmed.- Process Execution and Enactment in Medical Environments.- Engineering A Performance Management System To Support Community Care Delivery.- A Framework for Continuous Certification of Clinical Information Systems.- Applying Information System Hazard Analysis to an Episodic Document Context.- Using PVSio-web to demonstrate software issues in medical user interfaces.- Formalizing The Cardiac Pacemaker Resynchronization Therapy.- A Tool for Analyzing Clinical Datasets as Blackboxes.
(source: Nielsen Book Data)
This book constitutes revised selected papers from the jointly held conferences FHIES 2014, 4th International Symposium on Foundations of Health Information Engineering and Systems, and SEHC 2014, 6th International Workshop on Software Engineering in Health Care. The meeting took place in Washington, DC, USA, in July 2014. The 16 papers presented in this volume were carefully reviewed and selected from 23 submissions. They deal with security aspects of health information systems; medical devices in cyberphysical systems; the process of providing healthcare and of monitoring patients; and patient safety and the assurance of medical systems. . (source: Nielsen Book Data)
Book — 1 online resource (xv, 391 pages) : illustrations Digital: text file.PDF.
From Large to Small Organ Segmentation in CT Using Regional Context.- Motion Corruption Detection in Breast DCE-MRI.- Detection and Localization of Drosophila Egg Chambers in Microscopy Images.- Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-specific Coronary Calcium Scoring.- Atlas of Classifiers for Brain MRI Segmentation.- Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis.- Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease.- Multi-Factorial Age Estimation from Skeletal and Dental MRI Volumes.- Automatic Classification of Proximal Femur Fractures Based on Attention Models.- Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation.- Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble.- STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion.- Classification of Alzheimer's Disease by Cascaded Convolutional Neural Networks Using PET Images.- Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images.- Multi-Scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base.- Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-Status Dementia Diagnosis.- 3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels.- Efficient Groupwise Registration for Brain MRI by Fast Initialization.- Sparse Multi-View Task-centralized Learning for ASD Diagnosis.- Inter-Subject Similarity Guided Brain Network Modelling for MCI Diagnosis.- Scalable and Fault Tolerant Platform for Distributed Learning on Private Medical Data.- Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic Images.- Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity.- Gradient Boosted Trees for Corrective Learning.- Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.- A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling.- Collage CNN for Renal Cell Carcinoma Detection from CT.- Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images.- Localizing Cardiac Structures in Fetal Heart Ultrasound Video.- Deformable Registration Through Learning of Context-Specific Metric Aggregation.- Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-learning Based Cascade Framework.- 3D U-net with Multi-Level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images.- Indecisive Trees for Classification and Prediction of Knee Osteoarthritis.- Whole Brain Segmentation and Labeling from CT using synthetic MR Images.- Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification.- Fusion of High-order and Low-order Effective Connectivity Networks for MCI Classification.- Novel Effective Connectivity Network Inference for MCI Identification.- Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network.- Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images.- Deep-Fext: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction.- Product Space Decompositions for Continuous Representations of Brain Connectivity.- Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks.- Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging.- Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks.
(source: Nielsen Book Data)
This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging. (source: Nielsen Book Data)
Improving quality and containing cost in health care and care for the elderly by using information technology.- Collecting the fruits of respect in entrepreneurship and management of organizations.- Friend or foe: Society in the area of tension between free data movement and data protection.- Bridging the digital divide: strengthening (health-) literacy and supporting trainings in information society. .
(source: Nielsen Book Data)
This book constitutes the refereed proceedings of the 8th International Conference on Well-Being in the Information Society, WIS 2020, held in Turku, Finland, in August 2020. Due to the COVID-19 pandemic the conference was held online. The 19 revised full papers presented were carefully reviewed and selected from 25 submissions. The submitted papers present academic contributions on the topics of intersection of health, ICT and fruits of respect as seen from different directions and contexts. The paperd are organized in the following topical sections: improving quality and containing cost in health care and care for the elderly by using information technology; collecting the fruits of respect in entrepreneurship and management of organizations; friend or foe: society in the area of tension between free data movement and data protection; bridging the digital divide: strengthening (health-) literacy and supporting trainings in information society. . (source: Nielsen Book Data)