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Artificial Intelligence in Medicine [[electronic resource] ] : 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings / / edited by Silvia Miksch, Jim Hunter, Elpida Keravnou
| Artificial Intelligence in Medicine [[electronic resource] ] : 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings / / edited by Silvia Miksch, Jim Hunter, Elpida Keravnou |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XVIII, 550 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Health informatics Optical data processing Application software Information storage and retrieval Database management Artificial Intelligence Health Informatics Image Processing and Computer Vision Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Ontology Mapping: A Way Out of the Medical Tower of Babel? -- Human Computer Interaction in Context Aware Wearable Systems -- Temporal Representation and Reasoning -- A New Approach to the Abstraction of Monitoring Data in Intensive Care -- Learning Rules with Complex Temporal Patterns in Biomedical Domains -- Discriminating Exanthematic Diseases from Temporal Patterns of Patient Symptoms -- Probabilistic Abstraction of Multiple Longitudinal Electronic Medical Records -- Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data -- Data-Driven Analysis of Blood Glucose Management Effectiveness -- Extending Temporal Databases to Deal with Telic/Atelic Medical Data -- Dichotomization of ICU Length of Stay Based on Model Calibration -- Decision Support Systems -- AtherEx: An Expert System for Atherosclerosis Risk Assessment -- Smooth Integration of Decision Support into an Existing Electronic Patient Record -- REPS: A Rehabilitation Expert System for Post-stroke Patients -- Clinical Guidelines and Protocols -- Testing Asbru Guidelines and Protocols for Neonatal Intensive Care -- EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations -- Design Patterns for Modelling Guidelines -- Improving Clinical Guideline Implementation Through Prototypical Design Patterns -- Automatic Derivation of a Decision Tree to Represent Guideline-Based Therapeutic Strategies for the Management of Chronic Diseases -- Exploiting Decision Theory for Supporting Therapy Selection in Computerized Clinical Guidelines -- Helping Physicians to Organize Guidelines Within Conceptual Hierarchies -- MHB – A Many-Headed Bridge Between Informal and Formal Guideline Representations -- Clinical Guidelines Adaptation: Managing Authoring and Versioning Issues -- Open-Source Publishing of Medical Knowledge for Creation of Computer-Interpretable Guidelines -- A History-Based Algebra for Quality-Checking Medical Guidelines -- The Spock System: Developing a Runtime Application Engine for Hybrid-Asbru Guidelines -- AI Planning Technology as a Component of Computerised Clinical Practice Guidelines -- Gaining Process Information from Clinical Practice Guidelines Using Information Extraction -- Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines -- Formalising Medical Quality Indicators to Improve Guidelines -- Ontology and Terminology -- Oncology Ontology in the NCI Thesaurus -- Ontology-Mediated Distributed Decision Support for Breast Cancer -- Multimedia Data Management to Assist Tissue Microarrays Design -- Building Medical Ontologies Based on Terminology Extraction from Texts: Methodological Propositions -- Translating Biomedical Terms by Inferring Transducers -- Using Lexical and Logical Methods for the Alignment of Medical Terminologies -- Latent Argumentative Pruning for Compact MEDLINE Indexing -- A Benchmark Evaluation of the French MeSH Indexers -- Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques -- Ontology of Time and Situoids in Medical Conceptual Modeling -- The Use of Verbal Classification for Determining the Course of Medical Treatment by Medicinal Herbs -- Case-Based Reasoning, Signal Interpretation, Visual Mining -- Interactive Knowledge Validation in CBR for Decision Support in Medicine -- Adaptation and Medical Case-Based Reasoning Focusing on Endocrine Therapy Support -- Transcranial Magnetic Stimulation (TMS) to Evaluate and Classify Mental Diseases Using Neural Networks -- Towards Information Visualization and Clustering Techniques for MRI Data Sets -- Computer Vision and Imaging -- Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps -- Automatic Landmarking of Cephalograms by Cellular Neural Networks -- Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure -- Morphometry of the Hippocampus Based on a Deformable Model and Support Vector Machines -- Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics -- Knowledge Management -- Multi-agent Patient Representation in Primary Care -- Clinical Reasoning Learning with Simulated Patients -- Implicit Learning System for Teaching the Art of Acute Cardiac Infarction Diagnosis -- Which Kind of Knowledge Is Suitable for Redesigning Hospital Logistic Processes? -- Machine Learning, Knowledge Discovery and Data Mining -- Web Mining Techniques for Automatic Discovery of Medical Knowledge -- Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies -- An Evolutionary Divide and Conquer Method for Long-Term Dietary Menu Planning -- Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series -- Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System -- A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining -- Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach -- Subgroup Mining for Interactive Knowledge Refinement -- Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra -- On Understanding and Assessing Feature Selection Bias -- A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis -- Learning Rules from Multisource Data for Cardiac Monitoring -- Effective Confidence Region Prediction Using Probability Forecasters -- Signature Recognition Methods for Identifying Influenza Sequences -- Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models -- An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset -- Relation Mining over a Corpus of Scientific Literature. |
| Record Nr. | UNISA-996465783403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Medicine : 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings / / edited by Silvia Miksch, Jim Hunter, Elpida Keravnou
| Artificial Intelligence in Medicine : 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, UK, July 23-27, 2005, Proceedings / / edited by Silvia Miksch, Jim Hunter, Elpida Keravnou |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XVIII, 550 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Health informatics Optical data processing Application software Information storage and retrieval Database management Artificial Intelligence Health Informatics Image Processing and Computer Vision Information Systems Applications (incl. Internet) Information Storage and Retrieval Database Management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Ontology Mapping: A Way Out of the Medical Tower of Babel? -- Human Computer Interaction in Context Aware Wearable Systems -- Temporal Representation and Reasoning -- A New Approach to the Abstraction of Monitoring Data in Intensive Care -- Learning Rules with Complex Temporal Patterns in Biomedical Domains -- Discriminating Exanthematic Diseases from Temporal Patterns of Patient Symptoms -- Probabilistic Abstraction of Multiple Longitudinal Electronic Medical Records -- Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data -- Data-Driven Analysis of Blood Glucose Management Effectiveness -- Extending Temporal Databases to Deal with Telic/Atelic Medical Data -- Dichotomization of ICU Length of Stay Based on Model Calibration -- Decision Support Systems -- AtherEx: An Expert System for Atherosclerosis Risk Assessment -- Smooth Integration of Decision Support into an Existing Electronic Patient Record -- REPS: A Rehabilitation Expert System for Post-stroke Patients -- Clinical Guidelines and Protocols -- Testing Asbru Guidelines and Protocols for Neonatal Intensive Care -- EORCA: A Collaborative Activities Representation for Building Guidelines from Field Observations -- Design Patterns for Modelling Guidelines -- Improving Clinical Guideline Implementation Through Prototypical Design Patterns -- Automatic Derivation of a Decision Tree to Represent Guideline-Based Therapeutic Strategies for the Management of Chronic Diseases -- Exploiting Decision Theory for Supporting Therapy Selection in Computerized Clinical Guidelines -- Helping Physicians to Organize Guidelines Within Conceptual Hierarchies -- MHB – A Many-Headed Bridge Between Informal and Formal Guideline Representations -- Clinical Guidelines Adaptation: Managing Authoring and Versioning Issues -- Open-Source Publishing of Medical Knowledge for Creation of Computer-Interpretable Guidelines -- A History-Based Algebra for Quality-Checking Medical Guidelines -- The Spock System: Developing a Runtime Application Engine for Hybrid-Asbru Guidelines -- AI Planning Technology as a Component of Computerised Clinical Practice Guidelines -- Gaining Process Information from Clinical Practice Guidelines Using Information Extraction -- Ontology-Driven Extraction of Linguistic Patterns for Modelling Clinical Guidelines -- Formalising Medical Quality Indicators to Improve Guidelines -- Ontology and Terminology -- Oncology Ontology in the NCI Thesaurus -- Ontology-Mediated Distributed Decision Support for Breast Cancer -- Multimedia Data Management to Assist Tissue Microarrays Design -- Building Medical Ontologies Based on Terminology Extraction from Texts: Methodological Propositions -- Translating Biomedical Terms by Inferring Transducers -- Using Lexical and Logical Methods for the Alignment of Medical Terminologies -- Latent Argumentative Pruning for Compact MEDLINE Indexing -- A Benchmark Evaluation of the French MeSH Indexers -- Populating an Allergens Ontology Using Natural Language Processing and Machine Learning Techniques -- Ontology of Time and Situoids in Medical Conceptual Modeling -- The Use of Verbal Classification for Determining the Course of Medical Treatment by Medicinal Herbs -- Case-Based Reasoning, Signal Interpretation, Visual Mining -- Interactive Knowledge Validation in CBR for Decision Support in Medicine -- Adaptation and Medical Case-Based Reasoning Focusing on Endocrine Therapy Support -- Transcranial Magnetic Stimulation (TMS) to Evaluate and Classify Mental Diseases Using Neural Networks -- Towards Information Visualization and Clustering Techniques for MRI Data Sets -- Computer Vision and Imaging -- Electrocardiographic Imaging: Towards Automated Interpretation of Activation Maps -- Automatic Landmarking of Cephalograms by Cellular Neural Networks -- Anatomical Sketch Understanding: Recognizing Explicit and Implicit Structure -- Morphometry of the Hippocampus Based on a Deformable Model and Support Vector Machines -- Automatic Segmentation of Whole-Body Bone Scintigrams as a Preprocessing Step for Computer Assisted Diagnostics -- Knowledge Management -- Multi-agent Patient Representation in Primary Care -- Clinical Reasoning Learning with Simulated Patients -- Implicit Learning System for Teaching the Art of Acute Cardiac Infarction Diagnosis -- Which Kind of Knowledge Is Suitable for Redesigning Hospital Logistic Processes? -- Machine Learning, Knowledge Discovery and Data Mining -- Web Mining Techniques for Automatic Discovery of Medical Knowledge -- Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies -- An Evolutionary Divide and Conquer Method for Long-Term Dietary Menu Planning -- Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series -- Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System -- A Data Pre-processing Method to Increase Efficiency and Accuracy in Data Mining -- Rule Discovery in Epidemiologic Surveillance Data Using EpiXCS: An Evolutionary Computation Approach -- Subgroup Mining for Interactive Knowledge Refinement -- Evidence Accumulation to Identify Discriminatory Signatures in Biomedical Spectra -- On Understanding and Assessing Feature Selection Bias -- A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis -- Learning Rules from Multisource Data for Cardiac Monitoring -- Effective Confidence Region Prediction Using Probability Forecasters -- Signature Recognition Methods for Identifying Influenza Sequences -- Conquering the Curse of Dimensionality in Gene Expression Cancer Diagnosis: Tough Problem, Simple Models -- An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset -- Relation Mining over a Corpus of Scientific Literature. |
| Record Nr. | UNINA-9910485016803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence in Medicine [[electronic resource] ] : 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings / / edited by Michel Dojat, Elpida Keravnou, Pedro Barahona
| Artificial Intelligence in Medicine [[electronic resource] ] : 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings / / edited by Michel Dojat, Elpida Keravnou, Pedro Barahona |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XIV, 394 p.) |
| Disciplina | 610/.285/63 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
General practice (Medicine)
Medicine Artificial intelligence Health informatics Database management Information storage and retrieval General Practice / Family Medicine Biomedicine, general Artificial Intelligence Health Informatics Database Management Information Storage and Retrieval |
| ISBN | 3-540-39907-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Temporal Reasoning -- On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Support Information -- Quality Assessment of Hemodialysis Services through Temporal Data Mining -- Idan: A Distributed Temporal-Abstraction Mediator for Medical Databases -- Prognosis of Approaching Infectious Diseases -- Modeling Multimedia and Temporal Aspects of Semistructured Clinical Data -- NEONATE: Decision Support in the Neonatal Intensive Care Unit – A Preliminary Report -- Abstracting the Patient Therapeutic History through a Heuristic-Based Qualitative Handling of Temporal Indeterminacy -- Ontology, Terminology -- How to Represent Medical Ontologies in View of a Semantic Web? -- Using Description Logics for Managing Medical Terminologies -- Ontology for Task-Based Clinical Guidelines and the Theory of Granular Partitions -- Speech Interfaces for Point-of-Care Guideline Systems -- Text Categorization prior to Indexing for the CISMEF Health Catalogue -- Bodily Systems and the Modular Structure of the Human Body -- Image Processing, Simulation -- Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation -- Qualitative Simulation of Shock States in a Virtual Patient -- 3D Segmentation of MR Brain Images into White Matter, Gray Matter and Cerebro-Spinal Fluid by Means of Evidence Theory -- A Knowledge-Based System for the Diagnosis of Alzheimer’s Disease -- Guidelines, Clinical Protocols -- DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines -- Experiences in the Formalisation and Verification of Medical Protocols -- Enhancing Conventional Web Content with Intelligent Knowledge Processing -- Linking Clinical Guidelines with Formal Representations -- Computerised Advice on Drug Dosage Decisions in Childhood Leukaemia: A Method and a Safety Strategy -- The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions -- Managing Theoretical Single-Disease Guideline Recommendations for Actual Multiple-Disease Patients -- Informal and Formal Medical Guidelines: Bridging the Gap -- Terminology, Natural Language -- Rhetorical Coding of Health Promotion Dialogues -- Learning Derived Words from Medical Corpora -- Learning-Free Text Categorization -- Knowledge-Based Query Expansion over a Medical Terminology Oriented Ontology on the Web -- Linking Rules to Terminologies and Applications in Medical Planning -- Machine Learning -- Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines -- Attribute Interactions in Medical Data Analysis -- Combining Supervised and Unsupervised Methods to Support Early Diagnosis of Hepatocellular Carcinoma -- Analysis of Gene Expression Data by the Logic Minimization Approach -- A Journey trough Clinical Applications of Multimethod Decision Trees -- Probabilistic Networks, Bayesian Models -- Detailing Test Characteristics for Probabilistic Networks -- Bayesian Learning of the Gas Exchange Properties of the Lung for Prediction of Arterial Oxygen Saturation -- Hierarchical Dirichlét Learning – Filling in the Thin Spots in a Database -- A Bayesian Neural Network Approach for Sleep Apnea Classification -- Probabilistic Networks as Probabilistic Forecasters -- Finding and Explaining Optimal Treatments -- Case Based Reasoning, Decision Support -- Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support -- Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment -- Constraint Reasoning in Deep Biomedical Models -- Interactive Decision Support for Medical Planning -- Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer -- WoundCare: A Palm Pilot-Based Expert System for the Treatment of Pressure Ulcers -- VIE-DIAB: A Support Program for Telemedical Glycaemic Control -- Data Mining, Knowledge Discovery -- Drifting Concepts as Hidden Factors in Clinical Studies -- Multi-relational Data Mining in Medical Databases -- Invited Talks -- Is It Time to Trade “Wet-Work” for Network? -- Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?. |
| Record Nr. | UNISA-996465685403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Medicine : 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings / / edited by Michel Dojat, Elpida Keravnou, Pedro Barahona
| Artificial Intelligence in Medicine : 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings / / edited by Michel Dojat, Elpida Keravnou, Pedro Barahona |
| Edizione | [1st ed. 2003.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 |
| Descrizione fisica | 1 online resource (XIV, 394 p.) |
| Disciplina | 610/.285/63 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
General practice (Medicine)
Medicine Artificial intelligence Health informatics Database management Information storage and retrieval General Practice / Family Medicine Biomedicine, general Artificial Intelligence Health Informatics Database Management Information Storage and Retrieval |
| ISBN | 3-540-39907-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Temporal Reasoning -- On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Support Information -- Quality Assessment of Hemodialysis Services through Temporal Data Mining -- Idan: A Distributed Temporal-Abstraction Mediator for Medical Databases -- Prognosis of Approaching Infectious Diseases -- Modeling Multimedia and Temporal Aspects of Semistructured Clinical Data -- NEONATE: Decision Support in the Neonatal Intensive Care Unit – A Preliminary Report -- Abstracting the Patient Therapeutic History through a Heuristic-Based Qualitative Handling of Temporal Indeterminacy -- Ontology, Terminology -- How to Represent Medical Ontologies in View of a Semantic Web? -- Using Description Logics for Managing Medical Terminologies -- Ontology for Task-Based Clinical Guidelines and the Theory of Granular Partitions -- Speech Interfaces for Point-of-Care Guideline Systems -- Text Categorization prior to Indexing for the CISMEF Health Catalogue -- Bodily Systems and the Modular Structure of the Human Body -- Image Processing, Simulation -- Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation -- Qualitative Simulation of Shock States in a Virtual Patient -- 3D Segmentation of MR Brain Images into White Matter, Gray Matter and Cerebro-Spinal Fluid by Means of Evidence Theory -- A Knowledge-Based System for the Diagnosis of Alzheimer’s Disease -- Guidelines, Clinical Protocols -- DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelines -- Experiences in the Formalisation and Verification of Medical Protocols -- Enhancing Conventional Web Content with Intelligent Knowledge Processing -- Linking Clinical Guidelines with Formal Representations -- Computerised Advice on Drug Dosage Decisions in Childhood Leukaemia: A Method and a Safety Strategy -- The NewGuide Project: Guidelines, Information Sharing and Learning from Exceptions -- Managing Theoretical Single-Disease Guideline Recommendations for Actual Multiple-Disease Patients -- Informal and Formal Medical Guidelines: Bridging the Gap -- Terminology, Natural Language -- Rhetorical Coding of Health Promotion Dialogues -- Learning Derived Words from Medical Corpora -- Learning-Free Text Categorization -- Knowledge-Based Query Expansion over a Medical Terminology Oriented Ontology on the Web -- Linking Rules to Terminologies and Applications in Medical Planning -- Machine Learning -- Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines -- Attribute Interactions in Medical Data Analysis -- Combining Supervised and Unsupervised Methods to Support Early Diagnosis of Hepatocellular Carcinoma -- Analysis of Gene Expression Data by the Logic Minimization Approach -- A Journey trough Clinical Applications of Multimethod Decision Trees -- Probabilistic Networks, Bayesian Models -- Detailing Test Characteristics for Probabilistic Networks -- Bayesian Learning of the Gas Exchange Properties of the Lung for Prediction of Arterial Oxygen Saturation -- Hierarchical Dirichlét Learning – Filling in the Thin Spots in a Database -- A Bayesian Neural Network Approach for Sleep Apnea Classification -- Probabilistic Networks as Probabilistic Forecasters -- Finding and Explaining Optimal Treatments -- Case Based Reasoning, Decision Support -- Acquisition of Adaptation Knowledge for Breast Cancer Treatment Decision Support -- Case Based Reasoning for Medical Decision-Support in a Safety Critical Environment -- Constraint Reasoning in Deep Biomedical Models -- Interactive Decision Support for Medical Planning -- Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer -- WoundCare: A Palm Pilot-Based Expert System for the Treatment of Pressure Ulcers -- VIE-DIAB: A Support Program for Telemedical Glycaemic Control -- Data Mining, Knowledge Discovery -- Drifting Concepts as Hidden Factors in Clinical Studies -- Multi-relational Data Mining in Medical Databases -- Invited Talks -- Is It Time to Trade “Wet-Work” for Network? -- Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?. |
| Record Nr. | UNINA-9910144020803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence in Medicine [[electronic resource] ] : 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1-4, 2001, Proceedings / / edited by Silvana Quaglini, Pedro Barahona, Steen Andreassen
| Artificial Intelligence in Medicine [[electronic resource] ] : 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1-4, 2001, Proceedings / / edited by Silvana Quaglini, Pedro Barahona, Steen Andreassen |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XIV, 469 p.) |
| Disciplina | 610/.285/63 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Medicine Optical data processing Information storage and retrieval Application software Health informatics Artificial Intelligence Biomedicine, general Image Processing and Computer Vision Information Storage and Retrieval Information Systems Applications (incl. Internet) Health Informatics |
| ISBN | 3-540-48229-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mediated Agent Interaction -- On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation, and Evaluation of Knowledge Based Systems -- Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS -- Detection of Infectious Outbreaks in Hospitals through Incremental Clustering -- Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma -- Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin’s Disease -- Visualisation of Multidimensional Data for Medical Decision Support -- A clustering-based constructive induction method and its application to rheumatoid arthritis -- Improving Identification of Difficult Small Classes by Balancing Class Distribution -- Credal Classification for Dementia Screening -- Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools -- Making Reliable Diagnoses with Machine Learning: A Case Study -- A Classification-Tree Hybrid Method for Studying Prognostic Models in Intensive Care -- Combining Unsupervised and Supervised Machine Learning in Analysis of the CHD Patient Database -- Coronary Heart Disease Patient Models Based on Inductive Machine Learning -- Prediction of Protein Secondary Structures of All Types Using New Hypersphere Machine Learning Method -- Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients -- Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System -- A User Interface for Executing Asbru Plans -- Improving HISYS1 with a Decision Support System -- Diagnosis of Iron-Deficiency Anemia in Hemodialyzed Patients through Support Vector Machines Technique -- A Visual Tool for a User-Friendly Artificial Neural Network Based Decision Support System in Medicine -- Modeling of Ventricular Repolarisation Time Series by Multi-Layer Perceptrons -- Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal -- Improving the Diagnostic Performance of MUNIN by Remodelling of the Diseases -- Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors -- The Effects of Disregarding Test Characteristics in Probabilistic Networks -- Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System -- Educational Tool for Diabetic Patients Based on Causal Probabilistic Networks -- NasoNet, Joining Bayesian Networks, and Time to Model Nasopharyngeal Cancer Spread -- Using time-oriented data abstraction methods to optimize oxygen supply for neonates -- Visual Definition of Temporal Clinical Abstractions: A User Interface Based on Novel Metaphors -- Using Temporal Probabilistic Knowledge for Medical Decision Making -- Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome -- Generating Symbolic and Natural Language Partial Solutions for Inclusion in Medical Plans -- Using Part-of-Speech and Word-Sense Disambiguation for Boosting String-Edit Distance Spelling Correction -- Semantic Interpretation of Medical Language - Quantitative Analysis and Qualitative Yield -- Medical Knowledge Acquisition from the Electronic Encyclopedia of China -- Quantitative and Qualitative Approaches to Reasoning Under Uncertainty in Medical Decision Making -- Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems -- Parts, Locations, and Holes — Formal Reasoning about Anatomical Structures -- Abductive Inference of Genetic Networks -- Interface of Inference Models with Concept and Medical Record Models -- Integrating Ripple Down Rules with Ontologies in an Oncology Domain -- Towards a Simple Ontology Definition Language (SOntoDL) for a Semantic Web of Evidence-Based Medical Information -- Knowledge Acquisition System to Support Low Vision Consultation -- Systematic Construction of Texture Features for Hashimoto’s Lymphocytic Thyroiditis Recognition from Sonographic Images -- Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation -- Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies -- Depth-Four Threshold Circuits for Computer-Assisted X-ray Diagnosis -- Management of Hospital Teams for Organ Transplants Using Multi-Agent Systems -- An AI-Based Approach to Support Communication in Health Care Organizations -- TAME Time Resourcing in Academic Medical Environments -- A Conceptual Framework to Model Chronic and Long-Term Diseases -- Modelling of Radiological Examinations with POKMAT, a Process Oriented Knowledge Management Tool -- A Multi-Agent System for Organ Transplant Co-ordination -- A Platform Integrating Knowledge and Data Management for EMG Studies -- Using ONCODOC as a Computer-Based Eligibility Screening System to Improve Accrual onto Breast Cancer Clinical Trials -- Using Critiquing for Improving Medical Protocols: Harder than It Seems -- Evaluating the Impact of Clinical Practice Guidelines on Stroke Outcomes -- Challenges in Evaluating Complex Decision Support Systems: Lessons from Design-a-Trial -- On the Evaluation of Probabilistic Networks -- Evaluation of a Case-Based Antibiotics Therapy Adviser. |
| Record Nr. | UNISA-996465779103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Medicine : 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1-4, 2001, Proceedings / / edited by Silvana Quaglini, Pedro Barahona, Steen Andreassen
| Artificial Intelligence in Medicine : 8th Conference on Artificial Intelligence in Medicine in Europe, AIME 2001 Cascais, Portugal, July 1-4, 2001, Proceedings / / edited by Silvana Quaglini, Pedro Barahona, Steen Andreassen |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XIV, 469 p.) |
| Disciplina | 610/.285/63 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Medicine Optical data processing Information storage and retrieval Application software Health informatics Artificial Intelligence Biomedicine, general Image Processing and Computer Vision Information Storage and Retrieval Information Systems Applications (incl. Internet) Health Informatics |
| ISBN | 3-540-48229-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mediated Agent Interaction -- On Articulation and Localization - Some Sociotechnical Issues of Design, Implementation, and Evaluation of Knowledge Based Systems -- Prototype Selection and Feature Subset Selection by Estimation of Distribution Algorithms. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS -- Detection of Infectious Outbreaks in Hospitals through Incremental Clustering -- Mining Data from a Knowledge Management Perspective: An Application to Outcome Prediction in Patients with Resectable Hepatocellular Carcinoma -- Discovering Associations in Clinical Data: Application to Search for Prognostic Factors in Hodgkin’s Disease -- Visualisation of Multidimensional Data for Medical Decision Support -- A clustering-based constructive induction method and its application to rheumatoid arthritis -- Improving Identification of Difficult Small Classes by Balancing Class Distribution -- Credal Classification for Dementia Screening -- Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools -- Making Reliable Diagnoses with Machine Learning: A Case Study -- A Classification-Tree Hybrid Method for Studying Prognostic Models in Intensive Care -- Combining Unsupervised and Supervised Machine Learning in Analysis of the CHD Patient Database -- Coronary Heart Disease Patient Models Based on Inductive Machine Learning -- Prediction of Protein Secondary Structures of All Types Using New Hypersphere Machine Learning Method -- Integrating Different Methodologies for Insulin Therapy Support in Type 1 Diabetic Patients -- Diagnosing Patient State in Intensive Care Patients Using the Intelligent Ventilator (INVENT) System -- A User Interface for Executing Asbru Plans -- Improving HISYS1 with a Decision Support System -- Diagnosis of Iron-Deficiency Anemia in Hemodialyzed Patients through Support Vector Machines Technique -- A Visual Tool for a User-Friendly Artificial Neural Network Based Decision Support System in Medicine -- Modeling of Ventricular Repolarisation Time Series by Multi-Layer Perceptrons -- Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal -- Improving the Diagnostic Performance of MUNIN by Remodelling of the Diseases -- Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors -- The Effects of Disregarding Test Characteristics in Probabilistic Networks -- Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System -- Educational Tool for Diabetic Patients Based on Causal Probabilistic Networks -- NasoNet, Joining Bayesian Networks, and Time to Model Nasopharyngeal Cancer Spread -- Using time-oriented data abstraction methods to optimize oxygen supply for neonates -- Visual Definition of Temporal Clinical Abstractions: A User Interface Based on Novel Metaphors -- Using Temporal Probabilistic Knowledge for Medical Decision Making -- Temporal Issues in the Intelligent Interpretation of the Sleep Apnea Syndrome -- Generating Symbolic and Natural Language Partial Solutions for Inclusion in Medical Plans -- Using Part-of-Speech and Word-Sense Disambiguation for Boosting String-Edit Distance Spelling Correction -- Semantic Interpretation of Medical Language - Quantitative Analysis and Qualitative Yield -- Medical Knowledge Acquisition from the Electronic Encyclopedia of China -- Quantitative and Qualitative Approaches to Reasoning Under Uncertainty in Medical Decision Making -- Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems -- Parts, Locations, and Holes — Formal Reasoning about Anatomical Structures -- Abductive Inference of Genetic Networks -- Interface of Inference Models with Concept and Medical Record Models -- Integrating Ripple Down Rules with Ontologies in an Oncology Domain -- Towards a Simple Ontology Definition Language (SOntoDL) for a Semantic Web of Evidence-Based Medical Information -- Knowledge Acquisition System to Support Low Vision Consultation -- Systematic Construction of Texture Features for Hashimoto’s Lymphocytic Thyroiditis Recognition from Sonographic Images -- Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation -- Numeric and Symbolic Knowledge Representation of Cortex Anatomy Using Web Technologies -- Depth-Four Threshold Circuits for Computer-Assisted X-ray Diagnosis -- Management of Hospital Teams for Organ Transplants Using Multi-Agent Systems -- An AI-Based Approach to Support Communication in Health Care Organizations -- TAME Time Resourcing in Academic Medical Environments -- A Conceptual Framework to Model Chronic and Long-Term Diseases -- Modelling of Radiological Examinations with POKMAT, a Process Oriented Knowledge Management Tool -- A Multi-Agent System for Organ Transplant Co-ordination -- A Platform Integrating Knowledge and Data Management for EMG Studies -- Using ONCODOC as a Computer-Based Eligibility Screening System to Improve Accrual onto Breast Cancer Clinical Trials -- Using Critiquing for Improving Medical Protocols: Harder than It Seems -- Evaluating the Impact of Clinical Practice Guidelines on Stroke Outcomes -- Challenges in Evaluating Complex Decision Support Systems: Lessons from Design-a-Trial -- On the Evaluation of Probabilistic Networks -- Evaluation of a Case-Based Antibiotics Therapy Adviser. |
| Record Nr. | UNINA-9910143594603321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence in Medicine [[electronic resource] ] : 6th Conference in Artificial Intelligence in Medicine, Europe, AIME '97, Grenoble, France, March 23-26, 1997, Proceedings / / edited by Elpida Keravnou, Catherine Garbay, Robert Baud, Jeremy Wyatt
| Artificial Intelligence in Medicine [[electronic resource] ] : 6th Conference in Artificial Intelligence in Medicine, Europe, AIME '97, Grenoble, France, March 23-26, 1997, Proceedings / / edited by Elpida Keravnou, Catherine Garbay, Robert Baud, Jeremy Wyatt |
| Edizione | [1st ed. 1997.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
| Descrizione fisica | 1 online resource (XIV, 534 p.) |
| Disciplina | 610/.285/63 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Medicine
Artificial intelligence Health informatics Biomedicine, general Artificial Intelligence Health Informatics |
| ISBN | 3-540-68448-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Robots as surgical assistants: Where we are, wither we are tending, and how to get there -- Intelligent image management in an integrated telemedicine services network -- AI technologies: Conditions for further impact -- Protocols for medical procedures and therapies: A provisional description of the PROforma language and tools -- Supporting tools for guideline development and dissemination -- A task-specific ontology for the application and critiquing of time-oriented clinical guidelines -- User-adapted multimedia explanations in a clinical guidelines consultation system -- Algorithm and care pathway: Clinical guidelines and healthcare processes -- Detecting very early stages of dementia from normal aging with Machine Learning methods -- Acquiring and validating background knowledge for machine learning using function decomposition -- Automated revision of expert rules for treating acute abdominal pain in children -- Evaluation of automatic and manual knowledge acquisition for cerebrospinal fluid (CSF) diagnosis -- Knowledge acquisition by the domain expert using the tool HEMATOOL -- Application of inductive logic programming for learning ECG waveforms -- Knowledge discovery from a breast cancer database -- An adaptive two-tier menu approach to support on-line entry of diagnoses -- Machine learning applied to diagnosis of sport injuries -- A theoretical framework for decision trees in uncertain domains: Application to medical data sets -- Developing a decision-theoretic network for a congenital heart disease -- A theory of medical diagnosis as hypothesis refinement -- A new approach to feature selection -- A heuristic approach to the multiple diagnoses problem -- Intelligent assistance for coronary heart disease diagnosis: A comparison study -- Diagnosis and monitoring of ulnar nerve lesions -- Hypothesist: A development environment for intelligent diagnostic systems -- The clinical spectrum of decision-support in oncology with a case report of a real world system -- A Case-Based Reasoning method for computer-assisted diagnosis in histopathology -- The validation of an expert system for diagnosis of acute myocardial infarction -- A causal-functional model applied to EMG diagnosis -- Learning Bayesian Networks by Genetic Algorithms: A case study in the prediction of survival in malignant skin melanoma -- A neuro-fuzzy-classifier for a knowledge-based glaucoma monitor -- A method for diagnosing in large medical expert systems based on causal probabilistic networks -- Dynamic decision making in stochastic partially observable medical domains: Ischemic heart disease example -- Self-learning fuzzy logic control in medicine -- Planning and scheduling patient tests in hospital laboratories -- Temporal Abstractions for diabetic patients management -- Temporal scenario recognition for intelligent patient monitoring -- Medical planning environment -- Strengthening argumentation in medical explanations by text plan revision -- An ontological analysis of surgical deeds -- Building medical dictionaries for patient encoding systems: A methodology -- A Semantics-based communication system for dysphasic subjects -- Multilingual decision-support for the diagnosis of acute abdominal pain: An European Concerted Action (COPERNICUS 555) -- Medical Concept systems, lexicons and Natural Language Generation -- Distributed plan construction and execution for medical image interpretation -- Improved identification of the human shoulder kinematics with muscle biological filters -- A society of goal-oriented agents for the analysis of living cells -- Methodology for the design of digital brain atlases -- Rule-based labeling of CT head image -- Characterisation of tumorous tissue in rat brain by in vitro magnetic resonance spectroscopy and Artificial Neural Networks -- An application of Machine Learning in the diagnosis of ischaemic heart disease -- Meta-level learning in a hybrid knowledge-based architecture -- A framework for building cooperating agents -- Adding knowledge to information retrieval systems in the World Wide Web -- Learning from data through the integration of qualitative models and fuzzy systems -- Case-based reasoning and statistics for discovering and forecasting of epidemics -- Knowledge refinement of an expert system using a symbolic-connectionist approach -- Integrated decision support: The DIADOQ computer-based patient record. |
| Record Nr. | UNISA-996465985803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Medicine [[electronic resource] ] : 6th Conference in Artificial Intelligence in Medicine, Europe, AIME '97, Grenoble, France, March 23-26, 1997, Proceedings / / edited by Elpida Keravnou, Catherine Garbay, Robert Baud, Jeremy Wyatt
| Artificial Intelligence in Medicine [[electronic resource] ] : 6th Conference in Artificial Intelligence in Medicine, Europe, AIME '97, Grenoble, France, March 23-26, 1997, Proceedings / / edited by Elpida Keravnou, Catherine Garbay, Robert Baud, Jeremy Wyatt |
| Edizione | [1st ed. 1997.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 |
| Descrizione fisica | 1 online resource (XIV, 534 p.) |
| Disciplina | 610/.285/63 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Medicine
Artificial intelligence Health informatics Biomedicine, general Artificial Intelligence Health Informatics |
| ISBN | 3-540-68448-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Robots as surgical assistants: Where we are, wither we are tending, and how to get there -- Intelligent image management in an integrated telemedicine services network -- AI technologies: Conditions for further impact -- Protocols for medical procedures and therapies: A provisional description of the PROforma language and tools -- Supporting tools for guideline development and dissemination -- A task-specific ontology for the application and critiquing of time-oriented clinical guidelines -- User-adapted multimedia explanations in a clinical guidelines consultation system -- Algorithm and care pathway: Clinical guidelines and healthcare processes -- Detecting very early stages of dementia from normal aging with Machine Learning methods -- Acquiring and validating background knowledge for machine learning using function decomposition -- Automated revision of expert rules for treating acute abdominal pain in children -- Evaluation of automatic and manual knowledge acquisition for cerebrospinal fluid (CSF) diagnosis -- Knowledge acquisition by the domain expert using the tool HEMATOOL -- Application of inductive logic programming for learning ECG waveforms -- Knowledge discovery from a breast cancer database -- An adaptive two-tier menu approach to support on-line entry of diagnoses -- Machine learning applied to diagnosis of sport injuries -- A theoretical framework for decision trees in uncertain domains: Application to medical data sets -- Developing a decision-theoretic network for a congenital heart disease -- A theory of medical diagnosis as hypothesis refinement -- A new approach to feature selection -- A heuristic approach to the multiple diagnoses problem -- Intelligent assistance for coronary heart disease diagnosis: A comparison study -- Diagnosis and monitoring of ulnar nerve lesions -- Hypothesist: A development environment for intelligent diagnostic systems -- The clinical spectrum of decision-support in oncology with a case report of a real world system -- A Case-Based Reasoning method for computer-assisted diagnosis in histopathology -- The validation of an expert system for diagnosis of acute myocardial infarction -- A causal-functional model applied to EMG diagnosis -- Learning Bayesian Networks by Genetic Algorithms: A case study in the prediction of survival in malignant skin melanoma -- A neuro-fuzzy-classifier for a knowledge-based glaucoma monitor -- A method for diagnosing in large medical expert systems based on causal probabilistic networks -- Dynamic decision making in stochastic partially observable medical domains: Ischemic heart disease example -- Self-learning fuzzy logic control in medicine -- Planning and scheduling patient tests in hospital laboratories -- Temporal Abstractions for diabetic patients management -- Temporal scenario recognition for intelligent patient monitoring -- Medical planning environment -- Strengthening argumentation in medical explanations by text plan revision -- An ontological analysis of surgical deeds -- Building medical dictionaries for patient encoding systems: A methodology -- A Semantics-based communication system for dysphasic subjects -- Multilingual decision-support for the diagnosis of acute abdominal pain: An European Concerted Action (COPERNICUS 555) -- Medical Concept systems, lexicons and Natural Language Generation -- Distributed plan construction and execution for medical image interpretation -- Improved identification of the human shoulder kinematics with muscle biological filters -- A society of goal-oriented agents for the analysis of living cells -- Methodology for the design of digital brain atlases -- Rule-based labeling of CT head image -- Characterisation of tumorous tissue in rat brain by in vitro magnetic resonance spectroscopy and Artificial Neural Networks -- An application of Machine Learning in the diagnosis of ischaemic heart disease -- Meta-level learning in a hybrid knowledge-based architecture -- A framework for building cooperating agents -- Adding knowledge to information retrieval systems in the World Wide Web -- Learning from data through the integration of qualitative models and fuzzy systems -- Case-based reasoning and statistics for discovering and forecasting of epidemics -- Knowledge refinement of an expert system using a symbolic-connectionist approach -- Integrated decision support: The DIADOQ computer-based patient record. |
| Record Nr. | UNINA-9910768175903321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1997 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial Intelligence in Radiation Therapy [[electronic resource] ] : First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dan Nguyen, Lei Xing, Steve Jiang
| Artificial Intelligence in Radiation Therapy [[electronic resource] ] : First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dan Nguyen, Lei Xing, Steve Jiang |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XI, 172 p. 87 illus., 74 illus. in color.) |
| Disciplina | 610.28563 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Health informatics Image Processing and Computer Vision Artificial Intelligence Health Informatics |
| ISBN | 3-030-32486-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy -- Feasibility of CT-only 3D dose prediction for VMAT prostate plans using deep learning -- Automatically Tracking and Detecting Significant Nodal Mass Shrinkage During Head-and-Neck Radiation Treatment Using Image Saliency -- 4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network -- Toward markerless image-guided radiotherapy using deep learning for prostate cancer -- A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network -- A Novel Deep Learning Framework for Standardizing the Label of OARs in CT -- Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery -- Voxel-level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions -- Online Target Volume Estimation and Prediction From an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach -- One-dimensional convolutional network for Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning -- Unpaired Synthetic Image Generation in Radiology Using GANs -- Deriving lung perfusion directly from CT image using deep convolutional neural network: A preliminary study -- Individualized 3D Dose Distribution Prediction Using Deep Learning -- Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy -- Dose Distribution Prediction for Optimal Treatment of Modern External Beam Radiation Therapy for Nasopharyngeal Carcinoma -- DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy -- UC-GAN for MR to CT Image Synthesis -- CBCT-based Synthetic MRI Generation for CBCT-guided Adaptive Radiotherapy -- Cardio-pulmonary Substructure Segmentation of CT images using Convolutional Neural Networks. |
| Record Nr. | UNISA-996466425303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Artificial Intelligence in Radiation Therapy : First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dan Nguyen, Lei Xing, Steve Jiang
| Artificial Intelligence in Radiation Therapy : First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Dan Nguyen, Lei Xing, Steve Jiang |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XI, 172 p. 87 illus., 74 illus. in color.) |
| Disciplina | 610.28563 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Artificial intelligence Health informatics Image Processing and Computer Vision Artificial Intelligence Health Informatics |
| ISBN | 3-030-32486-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy -- Feasibility of CT-only 3D dose prediction for VMAT prostate plans using deep learning -- Automatically Tracking and Detecting Significant Nodal Mass Shrinkage During Head-and-Neck Radiation Treatment Using Image Saliency -- 4D-CT Deformable Image Registration Using an Unsupervised Deep Convolutional Neural Network -- Toward markerless image-guided radiotherapy using deep learning for prostate cancer -- A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network -- A Novel Deep Learning Framework for Standardizing the Label of OARs in CT -- Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery -- Voxel-level Radiotherapy Dose Prediction Using Densely Connected Network with Dilated Convolutions -- Online Target Volume Estimation and Prediction From an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach -- One-dimensional convolutional network for Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning -- Unpaired Synthetic Image Generation in Radiology Using GANs -- Deriving lung perfusion directly from CT image using deep convolutional neural network: A preliminary study -- Individualized 3D Dose Distribution Prediction Using Deep Learning -- Deep Generative Model-Driven Multimodal Prostate Segmentation in Radiotherapy -- Dose Distribution Prediction for Optimal Treatment of Modern External Beam Radiation Therapy for Nasopharyngeal Carcinoma -- DeepMCDose: A Deep Learning Method for Efficient Monte Carlo Beamlet Dose Calculation by Predictive Denoising in MR-Guided Radiotherapy -- UC-GAN for MR to CT Image Synthesis -- CBCT-based Synthetic MRI Generation for CBCT-guided Adaptive Radiotherapy -- Cardio-pulmonary Substructure Segmentation of CT images using Convolutional Neural Networks. |
| Record Nr. | UNINA-9910349275203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soggetto topico
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Health Informatics
(956)
- Health informatics (814)
- Artificial Intelligence (419)
- Artificial intelligence (419)
- Optical data processing (329)