PRedictive Intelligence in MEdicine : First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / edited by Islem Rekik, Gozde Unal, Ehsan Adeli, Sang Hyun Park.

Format:

Book

Contributor:

Rekik, Islem, Editor.

Unal, Gozde, Editor.

Adeli, Ehsan, Editor.

Park, Sang Hyun, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 11121

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11121

Language:

English

Subjects (All):

Artificial intelligence.

Computer vision.

Pattern recognition systems.

Computer engineering.

Computer networks.

Artificial Intelligence.

Computer Vision.

Automated Pattern Recognition.

Computer Engineering and Networks.

Computer Communication Networks.

Local Subjects:

Artificial Intelligence.

Computer Vision.

Automated Pattern Recognition.

Computer Engineering and Networks.

Computer Communication Networks.

Physical Description:

1 online resource (XII, 174 pages) : 72 illustrations

Edition:

1st ed. 2018.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the First International Workshop on PRedictive Intelligence in MEdicine, PRIME 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 20 full papers presented were carefully reviewed and selected from 23 submissions. The main aim of the workshop is to propel the advent of predictive models in a broad sense, with application to medical data. Particularly, the workshop will admit papers describing new cutting-edge predictive models and methods that solve challenging problems in the medical field.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-030-00320-3

9783030003203

Access Restriction:

Restricted for use by site license.