Predictive Intelligence in Medicine: First International Workshop, Prime 2018, Held in Conjunction with Miccai 2018, Granada, Spain, September 16, 201

ISBN-13: 9783030003197 / Angielski / Miękka / 2018 / 174 str.

Islem Rekik; Gozde Unal; Ehsan Adeli

Spis treści

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.