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Electrocardiographic Imaging
| Electrocardiographic Imaging |
| Autore | Guillem Maria S |
| Pubbl/distr/stampa | Frontiers Media SA, 2020 |
| Descrizione fisica | 1 online resource (178 p.) |
| Soggetto topico |
Physiology
Science: general issues |
| Soggetto non controllato |
ECG imaging
electrocardiography inverse problem |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557220103321 |
Guillem Maria S
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| Frontiers Media SA, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Medical image computing and computer assisted intervention - MICCAI 2022 : 25th International Conference, Singapore, September 18-22, 2022, proceedings, Part VII / / Linwei Wang [and four others] editors
| Medical image computing and computer assisted intervention - MICCAI 2022 : 25th International Conference, Singapore, September 18-22, 2022, proceedings, Part VII / / Linwei Wang [and four others] editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (809 pages) |
| Disciplina | 616.0754 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Diagnostic imaging - Data processing |
| ISBN | 3-031-16449-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996490362003316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical image computing and computer assisted intervention - MICCAI 2022 : 25th international conference, Singapore, September 18-22, 2022, proceedings, part iii / / Linwei Wang, [and four others], (editors)
| Medical image computing and computer assisted intervention - MICCAI 2022 : 25th international conference, Singapore, September 18-22, 2022, proceedings, part iii / / Linwei Wang, [and four others], (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (832 pages) |
| Disciplina | 616.0754 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Diagnostic imaging - Data processing |
| ISBN | 3-031-16437-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996490362303316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical image computing and computer assisted intervention - MICCAI 2022 : 25th international conference, Singapore, September 18-22, 2022, proceedings, part viii / / Linwei Wang [and four others], (editors)
| Medical image computing and computer assisted intervention - MICCAI 2022 : 25th international conference, Singapore, September 18-22, 2022, proceedings, part viii / / Linwei Wang [and four others], (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (772 pages) |
| Disciplina | 616.0754 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Diagnostic imaging - Data processing |
| ISBN | 3-031-16452-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996490362403316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical image computing and computer assisted intervention - MICCAI 2022 . Part V : 25th International Conference, Singapore, September 18-22, 2022, Proceedings / / Linwei Wang [and four others]
| Medical image computing and computer assisted intervention - MICCAI 2022 . Part V : 25th International Conference, Singapore, September 18-22, 2022, Proceedings / / Linwei Wang [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (775 pages) |
| Disciplina | 616.0754 |
| Collana | Lecture Notes in Computer Science Ser. |
| Soggetto topico |
Diagnostic imaging - Data processing
Diagnostic imaging - Decision making |
| ISBN | 3-031-16443-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996490362803316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical image computing and computer assisted intervention - MICCAI 2022 . Part IV : 25th International Conference, Singapore, September 18-22, 2022, Proceedings / / Linwei Wang [and four others]
| Medical image computing and computer assisted intervention - MICCAI 2022 . Part IV : 25th International Conference, Singapore, September 18-22, 2022, Proceedings / / Linwei Wang [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (781 pages) |
| Disciplina | 616.0754 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Diagnostic imaging - Data processing
Diagnostic imaging - Decision making |
| ISBN | 3-031-16440-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996490362703316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical image computing and computer assisted intervention - MICCAI 2022 . Part ii. : 25th international conference, Singapore, September 18-22, 2022, proceedings / / Linwei Wang, [and four others], (editors)
| Medical image computing and computer assisted intervention - MICCAI 2022 . Part ii. : 25th international conference, Singapore, September 18-22, 2022, proceedings / / Linwei Wang, [and four others], (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (802 pages) |
| Disciplina | 616.0754 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Diagnostic imaging - Data processing |
| ISBN | 3-031-16434-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996490362503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical image computing and computer assisted intervention -- MICCAI 2022 : 25th international conference, Singapore, September 18-22, 2022, proceedings, Part VI / / edited by Linwei Wang [and four others]
| Medical image computing and computer assisted intervention -- MICCAI 2022 : 25th international conference, Singapore, September 18-22, 2022, proceedings, Part VI / / edited by Linwei Wang [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (841 pages) |
| Disciplina | 616.07540285 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Diagnostic imaging - Data processing
Diagnostic imaging - Digital techniques |
| ISBN | 3-031-16446-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996490361803316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical image computing and computer assisted intervention MICCAI 2022 : 25th International Conference, Singapore, September 18-22, 2022, Proceedings. Part I / / edited by Linwei Wang, [and four others]
| Medical image computing and computer assisted intervention MICCAI 2022 : 25th International Conference, Singapore, September 18-22, 2022, Proceedings. Part I / / edited by Linwei Wang, [and four others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (796 pages) |
| Disciplina | 381 |
| Collana | Lecture Notes in Computer Science Ser. |
| Soggetto topico | Diagnostic imaging - Data processing |
| ISBN | 3-031-16431-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Brain Development and Atlases -- Progression Models for Imaging Data with Longitudinal Variational Auto Encoders -- 1 Introduction -- 1.1 Related Work -- 1.2 Contributions -- 2 Methodology -- 2.1 Representation Learning with VAEs -- 2.2 Longitudinal Statistical Model -- 2.3 Longitudinal VAE -- 3 Experiments and Results -- 3.1 Results on Synthetic Experiments -- 3.2 Results on 3D MRI and PET Scans -- 4 Conclusion -- References -- Boundary-Enhanced Self-supervised Learning for Brain Structure Segmentation -- 1 Introduction -- 2 Method -- 2.1 Overview of the Framework -- 2.2 Supervoxel Branch -- 2.3 Registration Branch -- 2.4 Overall Loss Function -- 3 Experiment -- 3.1 Datasets -- 3.2 Experiments Setup and Implementation Details -- 4 Experimental Results -- 5 Conclusion -- References -- Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline -- 1 Introduction -- 2 Materials and Methodology -- 2.1 Subjects and Image Preprocessing -- 2.2 Proposed Method -- 3 Experiment -- 4 Conclusion -- References -- 3D Global Fourier Network for Alzheimer's Disease Diagnosis Using Structural MRI -- 1 Introduction -- 2 Methods -- 2.1 Global Fourier Block -- 2.2 Classifier Layer and Loss Function -- 2.3 Multi-instance Learning Strategy -- 3 Experiments and Results -- 3.1 Dataset Description and Experimental Setup -- 3.2 Implementation Details -- 3.3 Experimental Results on ADNI and AIBL -- 3.4 Ablation Study -- 3.5 Interpretation by Saliency Map and Shapley Value -- 4 Conclusion -- References -- CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis -- 1 Introduction -- 2 Methods -- 2.1 Mesh Network -- 2.2 Frozen Pre-trained Transformer -- 2.3 Cognitive Embeddings and Cognitive Decline Aware Loss -- 2.4 Training Procedure.
3 Experiments -- 3.1 Data Processing -- 3.2 Implementation Details -- 3.3 Longitudinal Shape Modeling -- 3.4 Results -- 4 Conclusion -- References -- Interpretable Differential Diagnosis for Alzheimer's Disease and Frontotemporal Dementia -- 1 Introduction -- 2 Materials and Method -- 2.1 Datasets -- 2.2 Preprocessing -- 2.3 Method -- 3 Experimental Results -- 3.1 Ablation Study for Binary Classification Tasks -- 3.2 Performance for Multi-disease Classification -- 3.3 Comparison with State-of-the-Art Methods -- 3.4 Interpretation of Deep Grading Map -- 4 Conclusion -- References -- Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs -- 1 Introduction -- 2 Methods -- 2.1 CNN Architecture -- 2.2 Fusion Strategies -- 2.3 Evaluation Scheme -- 2.4 Data Processing and Training Strategy -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Unsupervised Representation Learning of Cingulate Cortical Folding Patterns -- 1 Introduction -- 2 Methods -- 2.1 Pre-processing -- 2.2 Learning Cingulate Region Representations -- 2.3 Identifying Folding Patterns -- 3 Experiments and Results -- 4 Discussion and Conclusion -- References -- Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer's Disease Detection -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 AD Classification Using Logistic Regression -- 2.3 AD Classification Using CNNs -- 2.4 Performance and Robustness Evaluation -- 3 Results -- 4 Discussion and Conclusion -- References -- Extended Electrophysiological Source Imaging with Spatial Graph Filters -- 1 Introduction -- 2 Problem and Motivation -- 2.1 EEG/MEG Source Imaging Problem -- 2.2 Why TV Sometimes is Not Working? -- 3 The Proposed Framework -- 3.1 Preliminary -- 3.2 Objective Function -- 4 Numerical Experiments -- 4.1 Simulation Experiments -- 4.2 Real Data Experiments. 5 Conclusion -- References -- DWI and Tractography -- Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data -- 1 Introduction -- 2 Method -- 2.1 Overall Architecture -- 2.2 Learning in q-Space -- 2.3 Learning in x-Space -- 3 Experiments -- 3.1 Dataset -- 3.2 Implementation Details -- 3.3 Evaluation Results -- 3.4 Ablation Study -- 4 Conclusion -- References -- Atlas-Powered Deep Learning (ADL) - Application to Diffusion Weighted MRI -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Atlas Development -- 2.3 Biomarker Estimation for an Individual Subject -- 3 Results and Discussion -- 3.1 Comparison with Other Techniques -- 3.2 Ablation Experiments -- 4 Conclusions -- References -- One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation -- 1 Introduction -- 2 Methods -- 2.1 Background: Knowledge Transfer for Segmenting Novel WM Tracts -- 2.2 Extensive Data Augmentation for One-Shot Segmentation of Novel WM Tracts -- 2.3 Implementation Details -- 3 Experiments -- 3.1 Data Description and Experimental Settings -- 3.2 Evaluation of Segmentation Results -- 4 Conclusion -- References -- Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner -- 1 Introduction -- 2 Materials and Methods -- 2.1 Overview -- 2.2 Materials and Preprocessing -- 2.3 Fiber Representation by a FiberGeoMap -- 2.4 Fiber Tract Segmentation via FiberGeoMap Learner -- 3 Results and Discussion -- 3.1 Results for Fiber Tract Segmentation -- 3.2 Comparison with Other Methods -- 3.3 Application on Autism -- 4 Conclusion -- References -- An Adaptive Network with Extragradient for Diffusion MRI-Based Microstructure Estimation -- 1 Introduction -- 2 Method -- 2.1 Theory -- 2.2 Network Construction -- 3 Experiments -- 3.1 Data and Training -- 3.2 Results -- 4 Conclusion and Future Work. References -- Shape-Based Features of White Matter Fiber-Tracts Associated with Outcome in Major Depression Disorder -- 1 Introduction -- 2 Data and Pre-processings -- 3 Proposed Methodology -- 3.1 Shape Representation and Framework -- 3.2 Shape Features Extraction -- 3.3 Analysis -- 4 Results -- 5 Discussion and Conclusion -- References -- White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning -- 1 Introduction -- 2 Methods -- 2.1 dMRI Dataset, Neuropsychological Assessment, and Tractography -- 2.2 Point Cloud Construction -- 2.3 Network Architecture and Proposed Paired-Siamese Loss -- 2.4 Critical Region Localization -- 2.5 Implementation Details -- 3 Experiments and Results -- 3.1 Evaluation Metrics -- 3.2 Evaluation Results -- 4 Conclusion -- References -- Segmentation of Whole-Brain Tractography: A Deep Learning Algorithm Based on 3D Raw Curve Points -- 1 Introduction -- 2 Methodology -- 2.1 Training Tractography Data -- 2.2 Data Sampling of 3D Curves -- 2.3 Proposed PointNet Based CNN Architecture -- 2.4 Whole-Brain Unlabeled Tract Segmentation for Test Subjects -- 3 Results and Discussion -- 3.1 Implementation Details and Evaluation Criteria -- 3.2 Classification Results -- 3.3 Whole-Brain Unlabeled Tract Segmentation for Test Subjects -- 4 Conclusion -- References -- TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers -- 1 Introduction -- 2 Methods -- 2.1 Diffusion MRI Datasets and Tractography -- 2.2 TractoEmbedding: A 2D Image Representation of WBT -- 2.3 TractoFormer: A ViT-Based Framework for Group Classification -- 2.4 Implementation Details and Parameter Setting -- 2.5 Experimental Evaluation -- 3 Results and Discussion -- 4 Conclusion -- References. Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression -- 1 Introduction -- 2 Methods -- 2.1 Diffusion MRI Processing -- 2.2 Multi-site Normative Modeling -- 3 Results -- 4 Discussion -- References -- Functional Brain Networks -- Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification -- 1 Introduction -- 2 Method -- 2.1 Problem Formalization -- 2.2 Overall Framework -- 2.3 Contrastive Functional Connectivity Graph Learning (CGL) -- 2.4 Population-Based Dynamic Graph Classification (DGC) -- 3 Experiments -- 3.1 Dataset and Experimental Details -- 3.2 Classification Results -- 3.3 Discussion -- 4 Conclusion -- References -- Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome -- 1 Introduction -- 2 Method -- 3 Experimental Settings -- 4 Results -- 5 Conclusion and Future Work -- References -- Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network -- 1 Introduction -- 2 Materials and Methods -- 2.1 Overview -- 2.2 Data Preprocessing -- 2.3 Group Deep Bidirectional Recurrent Neural Network -- 3 Experimental Results -- 3.1 Implement -- 3.2 Decoding Performance on Brain Sub-type Task States -- 3.3 Comparison of Decoding Performance on Brain Sub-type Task States -- 3.4 Comparison of Decoding Performance on Seven Brain Task States -- 4 Conclusion -- References -- Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network -- 1 Introduction -- 2 Methods -- 2.1 The PKG-DBN -- 2.2 Spatial Overlap Rate Between FBNs -- 3 Experimental Results -- 4 Conclusion -- References -- Interpretable Signature of Consciousness in Resting-State Functional Network Brain Activity -- 1 Introduction -- 2 Method -- 2.1 ROIs Definition -- 2.2 Time-Series Filtering and Extraction. 2.3 Linear Latent Variable Model Estimation. |
| Record Nr. | UNISA-996490363203316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 : 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII / / edited by Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li
| Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 : 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII / / edited by Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (809 pages) |
| Disciplina |
616.0754
616.07540285 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing
Application software User interfaces (Computer systems) Human-computer interaction Machine learning Image processing - Digital techniques Computer vision Image Processing Computer and Information Systems Applications User Interfaces and Human Computer Interaction Machine Learning Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN |
9783031164491
3031164490 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image-Guided interventions and surgery -- outcome and disease prediction -- surgical data science; surgical planning and simulation -- machine learning – domain adaptation and generalization. |
| Record Nr. | UNINA-9910595044203321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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