| Título : |
PRedictive Intelligence in MEdicine : First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Rekik, Islem, ; Unal, Gozde, ; Adeli, Ehsan, ; Park, Sang Hyun, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2018 |
| Número de páginas: |
XII, 174 p. 72 ilustraciones |
| ISBN/ISSN/DL: |
978-3-030-00320-3 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Visión por computador Redes de comunicación informática Ingeniería Informática y Redes Reconocimiento de patrones automatizado Inteligencia artificial Red informática Sistemas de reconocimiento de patrones Ingeniería Informática |
| Índice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas arbitradas del Primer Taller Internacional sobre Inteligencia Predictiva en Medicina, PRIME 2018, celebrado junto con MICCAI 2018, en Granada, España, en septiembre de 2018. Los 20 artículos completos presentados fueron cuidadosamente revisados y seleccionados entre 23 presentaciones. El principal objetivo del taller es impulsar la aparición de modelos predictivos en un sentido amplio, con aplicación a datos médicos. En particular, el taller admitirá artículos que describan nuevos modelos y métodos predictivos de vanguardia que resuelven problemas desafiantes en el campo médico. |
| Nota de contenido: |
Computer Aided Identification of Motion Disturbances Related to Parkinson's Disease -- Prediction of Severity and Treatment Outcome for ASD from fMRI -- Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network -- Generation of Amyloid PET Images via Conditional Adversarial Training for Predicting Progression to Alzheimer's Disease -- Prediction of Hearing Loss Based on Auditory Perception: A Preliminary Study -- Predictive Patient Care: Survival Model to Prevent Medication Non-adherence -- Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-Modality Data -- Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease -- Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations -- Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis -- Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI -- Multi-View Brain Network Prediction From a Source View Using Sample Selection via CCA-based Multi-Kernel Connectomic Manifold Learning -- Predicting Emotional Intelligence Scores From Multi-Session Functional Brain Connectomes -- Predictive Modeling of Longitudinal Data for Alzheimer's Disease Diagnosis Using RNNs -- Towards Continuous Health Diagnosis from Faces with Deep Learning -- XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference -- 3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis -- Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI -- Diffusion MRI Spatial Super-Resolution Using Generative Adversarialv Networks -- Prediction to Atrial Fibrillation Using Deep Convolutional Neural Networks. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
PRedictive Intelligence in MEdicine : First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings [documento electrónico] / Rekik, Islem, ; Unal, Gozde, ; Adeli, Ehsan, ; Park, Sang Hyun, . - 1 ed. . - [s.l.] : Springer, 2018 . - XII, 174 p. 72 ilustraciones. ISBN : 978-3-030-00320-3 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Visión por computador Redes de comunicación informática Ingeniería Informática y Redes Reconocimiento de patrones automatizado Inteligencia artificial Red informática Sistemas de reconocimiento de patrones Ingeniería Informática |
| Índice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas arbitradas del Primer Taller Internacional sobre Inteligencia Predictiva en Medicina, PRIME 2018, celebrado junto con MICCAI 2018, en Granada, España, en septiembre de 2018. Los 20 artículos completos presentados fueron cuidadosamente revisados y seleccionados entre 23 presentaciones. El principal objetivo del taller es impulsar la aparición de modelos predictivos en un sentido amplio, con aplicación a datos médicos. En particular, el taller admitirá artículos que describan nuevos modelos y métodos predictivos de vanguardia que resuelven problemas desafiantes en el campo médico. |
| Nota de contenido: |
Computer Aided Identification of Motion Disturbances Related to Parkinson's Disease -- Prediction of Severity and Treatment Outcome for ASD from fMRI -- Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network -- Generation of Amyloid PET Images via Conditional Adversarial Training for Predicting Progression to Alzheimer's Disease -- Prediction of Hearing Loss Based on Auditory Perception: A Preliminary Study -- Predictive Patient Care: Survival Model to Prevent Medication Non-adherence -- Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-Modality Data -- Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease -- Predicting Nucleus Basalis of Meynert Volume from Compartmental Brain Segmentations -- Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis -- Transfer Learning for Task Adaptation of Brain Lesion Assessment and Prediction of Brain Abnormalities Progression/Regression Using Irregularity Age Map in Brain MRI -- Multi-View Brain Network Prediction From a Source View Using Sample Selection via CCA-based Multi-Kernel Connectomic Manifold Learning -- Predicting Emotional Intelligence Scores From Multi-Session Functional Brain Connectomes -- Predictive Modeling of Longitudinal Data for Alzheimer's Disease Diagnosis Using RNNs -- Towards Continuous Health Diagnosis from Faces with Deep Learning -- XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference -- 3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis -- Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI -- Diffusion MRI Spatial Super-Resolution Using Generative Adversarialv Networks -- Prediction to Atrial Fibrillation Using Deep Convolutional Neural Networks. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
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