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Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging [[electronic resource] /] / edited by Kenji Suzuki, Yisong Chen
| Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging [[electronic resource] /] / edited by Kenji Suzuki, Yisong Chen |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXI, 387 p. 140 illus., 96 illus. in color.) |
| Disciplina | 616.07540285 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Computational intelligence
Biomedical engineering Artificial intelligence Radiology Computational Intelligence Biomedical Engineering and Bioengineering Artificial Intelligence Imaging / Radiology |
| ISBN | 3-319-68843-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910299891903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial neural networks : methodological advances and biomedical applications / / edited by Kenji Suzuki
| Artificial neural networks : methodological advances and biomedical applications / / edited by Kenji Suzuki |
| Autore | Kenji Suzuki |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | IntechOpen, 2011 |
| Descrizione fisica | 1 online resource (376 pages) |
| Disciplina | 006.3 |
| Soggetto topico | Artificial intelligence |
| Soggetto non controllato |
Physical Sciences
Engineering and Technology Neural Network Computer and Information Science Numerical Analysis and Scientific Computing |
| ISBN | 953-51-4498-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Artificial neural networks |
| Record Nr. | UNINA-9910138296603321 |
Kenji Suzuki
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| IntechOpen, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial neural networks : industrial and control engineering applications / / edited by Kenji Suzuki
| Artificial neural networks : industrial and control engineering applications / / edited by Kenji Suzuki |
| Pubbl/distr/stampa | [Place of publication not identified] : , : IntechOpen, , [2011] |
| Descrizione fisica | 1 online resource (492 pages) |
| Disciplina | 005.365 |
| Soggetto topico | Application software |
| ISBN | 953-51-4505-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910138297103321 |
| [Place of publication not identified] : , : IntechOpen, , [2011] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cybernics [[electronic resource] ] : Fusion of human, machine and information systems / / edited by Yoshiyuki Sankai, Kenji Suzuki, Yasuhisa Hasegawa
| Cybernics [[electronic resource] ] : Fusion of human, machine and information systems / / edited by Yoshiyuki Sankai, Kenji Suzuki, Yasuhisa Hasegawa |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Tokyo : , : Springer Japan : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (338 p.) |
| Disciplina |
003.5
629.8 |
| Soggetto topico |
Robotics
Automation Management information systems Computer science Nursing Neuropsychology Biomedical engineering Robotics and Automation Management of Computing and Information Systems Biomedical Engineering and Bioengineering |
| ISBN | 4-431-54159-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cybernics: Fusion of Human, Machine and Information Systems -- Wearable Robot Technology -- Robot Motion Control for Physical Assistance -- Motor Control and Learning -- Movement Disorder and Rehabilitation -- Regenerative Medicine for Spinal Cord Injury Using Olfactory Mucosa Autografts -- Augmented Human Technology -- Haptic Interface and Cybernics -- Introduction to Mediated Communication -- Robotics for Supporting Childhood Education -- Subjectivity-Kansei Computing -- Human–Machine Coagency for Collaborative Control -- Electroneurophysiology and Brain Functional Imaging for Brain-Machine-Interface -- Roboethical Arguments and Applied Ethics: Being a Good Citizen -- Safety and Ethical Issues in the Development of Human Assistive Robots -- Standards and Statutes: ‘Soft’ Law and ‘Hard’ Law. |
| Record Nr. | UNINA-9910299731103321 |
| Tokyo : , : Springer Japan : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Formal Techniques for Networked and Distributed Systems – FORTE 2008 [[electronic resource] ] : 28th IFIP WG 6.1 International Conference Tokyo, Japan, June 10-13, 2008 Proceedings / / edited by Kenji Suzuki, Teruo Higashino, Keiichi Yasumoto, Khaled El-Fakih
| Formal Techniques for Networked and Distributed Systems – FORTE 2008 [[electronic resource] ] : 28th IFIP WG 6.1 International Conference Tokyo, Japan, June 10-13, 2008 Proceedings / / edited by Kenji Suzuki, Teruo Higashino, Keiichi Yasumoto, Khaled El-Fakih |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XII, 344 p.) |
| Disciplina | 004.6/2 |
| Collana | Programming and Software Engineering |
| Soggetto topico |
Computer communication systems
Software engineering Operating systems (Computers) Computer logic Computer Communication Networks Software Engineering/Programming and Operating Systems Operating Systems Software Engineering Logics and Meanings of Programs |
| ISBN | 3-540-68855-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Model Generation for Horn Logic with Stratified Negation -- Abstraction -- Counterexample Guided Spotlight Abstraction Refinement -- An Experimental Evaluation of Probabilistic Simulation -- An SMT Approach to Bounded Reachability Analysis of Model Programs -- Verification -- Parameterized Tree Systems -- Adapting Petri Nets Reductions to Promela Specifications -- Verification of a Hierarchical Generic Mutual Exclusion Algorithm -- Specification Framework I -- Distributed Semantics and Implementation for Systems with Interaction and Priority -- Checking Correctness of Transactional Behaviors -- Specifying and Verifying Web Transactions -- Application -- Modelling and Analysing the Contract Net Protocol - Extension Using Coloured Petri Nets -- Program Repair Suggestions from Graphical State-Transition Specifications -- Verifying Erlang Telecommunication Systems with the Process Algebra ?CRL -- Specification Framework II -- NQSL - Formal Language and Tool Support for Network Quality-of-Service Requirements -- Timed Mobile Ambients for Network Protocols -- A Specification Framework for Earth-Friendly Logistics -- Theory -- A Hierarchy of Equivalences for Probabilistic Processes -- Multiset Bisimulations as a Common Framework for Ordinary and Probabilistic Bisimulations -- Reliability of Networked Systems -- Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning -- Using SPIN to Detect Vulnerabilities in the AACS Drive-Host Authentication Protocol -- Protocol Modeling with Model Program Composition. |
| Record Nr. | UNINA-9910484861003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Formal Techniques for Networked and Distributed Systems – FORTE 2008 [[electronic resource] ] : 28th IFIP WG 6.1 International Conference Tokyo, Japan, June 10-13, 2008 Proceedings / / edited by Kenji Suzuki, Teruo Higashino, Keiichi Yasumoto, Khaled El-Fakih
| Formal Techniques for Networked and Distributed Systems – FORTE 2008 [[electronic resource] ] : 28th IFIP WG 6.1 International Conference Tokyo, Japan, June 10-13, 2008 Proceedings / / edited by Kenji Suzuki, Teruo Higashino, Keiichi Yasumoto, Khaled El-Fakih |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XII, 344 p.) |
| Disciplina | 004.6/2 |
| Collana | Programming and Software Engineering |
| Soggetto topico |
Computer communication systems
Software engineering Operating systems (Computers) Computer logic Computer Communication Networks Software Engineering/Programming and Operating Systems Operating Systems Software Engineering Logics and Meanings of Programs |
| ISBN | 3-540-68855-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Model Generation for Horn Logic with Stratified Negation -- Abstraction -- Counterexample Guided Spotlight Abstraction Refinement -- An Experimental Evaluation of Probabilistic Simulation -- An SMT Approach to Bounded Reachability Analysis of Model Programs -- Verification -- Parameterized Tree Systems -- Adapting Petri Nets Reductions to Promela Specifications -- Verification of a Hierarchical Generic Mutual Exclusion Algorithm -- Specification Framework I -- Distributed Semantics and Implementation for Systems with Interaction and Priority -- Checking Correctness of Transactional Behaviors -- Specifying and Verifying Web Transactions -- Application -- Modelling and Analysing the Contract Net Protocol - Extension Using Coloured Petri Nets -- Program Repair Suggestions from Graphical State-Transition Specifications -- Verifying Erlang Telecommunication Systems with the Process Algebra ?CRL -- Specification Framework II -- NQSL - Formal Language and Tool Support for Network Quality-of-Service Requirements -- Timed Mobile Ambients for Network Protocols -- A Specification Framework for Earth-Friendly Logistics -- Theory -- A Hierarchy of Equivalences for Probabilistic Processes -- Multiset Bisimulations as a Common Framework for Ordinary and Probabilistic Bisimulations -- Reliability of Networked Systems -- Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning -- Using SPIN to Detect Vulnerabilities in the AACS Drive-Host Authentication Protocol -- Protocol Modeling with Model Program Composition. |
| Record Nr. | UNISA-996465576203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support [[electronic resource] ] : Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi
| Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support [[electronic resource] ] : Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (xvi, 93 pages) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Mathematical logic Health informatics Optical data processing Artificial Intelligence Mathematical Logic and Formal Languages Health Informatics Image Processing and Computer Vision |
| ISBN | 3-030-33850-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2019) -- Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification -- UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics -- Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis -- Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection -- Guideline-based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules -- Deep neural network or dermatologist? -- Towards Interpretability of Segmentation Networks by analyzing DeepDreams -- 9th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2019) -- Towards Automatic Diagnosis from Multi-modal Medical Data -- Deep Learning based Multi-Modal Registration for Retinal Imaging -- Automated Enriched Medical Concept Generation for Chest X-ray Images. |
| Record Nr. | UNINA-9910349269203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support [[electronic resource] ] : Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi
| Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support [[electronic resource] ] : Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings / / edited by Kenji Suzuki, Mauricio Reyes, Tanveer Syeda-Mahmood, Ender Konukoglu, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (xvi, 93 pages) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Artificial intelligence
Mathematical logic Health informatics Optical data processing Artificial Intelligence Mathematical Logic and Formal Languages Health Informatics Image Processing and Computer Vision |
| ISBN | 3-030-33850-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Second International Workshop on Interpretability of Machine Intelligence in Medical Image Computing (iMIMIC 2019) -- Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification -- UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics -- Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis -- Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection -- Guideline-based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules -- Deep neural network or dermatologist? -- Towards Interpretability of Segmentation Networks by analyzing DeepDreams -- 9th International Workshop on Multimodal Learning for Clinical Decision Support (ML-CDS 2019) -- Towards Automatic Diagnosis from Multi-modal Medical Data -- Deep Learning based Multi-Modal Registration for Retinal Imaging -- Automated Enriched Medical Concept Generation for Chest X-ray Images. |
| Record Nr. | UNISA-996466310703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning in Medical Imaging [[electronic resource] ] : 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings / / edited by Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki
| Machine Learning in Medical Imaging [[electronic resource] ] : 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings / / edited by Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XV, 391 p. 134 illus.) |
| Disciplina | 006.31 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Software engineering Health informatics Data mining Artificial intelligence Image Processing and Computer Vision Software Engineering/Programming and Operating Systems Health Informatics Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN | 3-319-67389-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNINA-9910484379503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine Learning in Medical Imaging [[electronic resource] ] : 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings / / edited by Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki
| Machine Learning in Medical Imaging [[electronic resource] ] : 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings / / edited by Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XV, 391 p. 134 illus.) |
| Disciplina | 006.31 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Software engineering Health informatics Data mining Artificial intelligence Image Processing and Computer Vision Software Engineering/Programming and Operating Systems Health Informatics Data Mining and Knowledge Discovery Artificial Intelligence |
| ISBN | 3-319-67389-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 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. |
| Record Nr. | UNISA-996465979603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
