相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Deep Transfer Learning for Alzheimer's disease detection
Nicole Dalia Cilia et al.
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2021)
Deep and joint learning of longitudinal data for Alzheimer's disease prediction
Baiying Lei et al.
PATTERN RECOGNITION (2020)
Handwriting analysis to support neurodegenerative diseases diagnosis: A review
Claudio De Stefano et al.
PATTERN RECOGNITION LETTERS (2019)
A model-free technique based on computer vision and sEMG for classification in Parkinson's disease by using computer-assisted handwriting analysis
Claudio Loconsole et al.
PATTERN RECOGNITION LETTERS (2019)
From aging to early-stage Alzheimer's: Uncovering handwriting multimodal behaviors by semi-supervised learning and sequential representation learning
Mounim A. El-Yacoubi et al.
PATTERN RECOGNITION (2019)
Strength and similarity guided group-level brain functional network construction for MCI diagnosis
Yu Zhang et al.
PATTERN RECOGNITION (2019)
Early Alzheimer's disease diagnosis based on EEG spectral images using deep learning
Bi Xiaojun et al.
NEURAL NETWORKS (2019)
Dynamic Handwriting Analysis for Neurodegenerative Disease Assessment: A Literary Review
Gennaro Vessio
APPLIED SCIENCES-BASEL (2019)
Dynamically enhanced static handwriting representation for Parkinson's disease detection
Moises Diaz et al.
PATTERN RECOGNITION LETTERS (2019)
Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study
Nicole Dalia Cilia et al.
COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2019, PT II (2019)
Combining EEG signal processing with supervised methods for Alzheimer's patients classification
Giulia Fiscon et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2018)
l2,1 - l1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease
Peng Cao et al.
PATTERN RECOGNITION (2018)
A Model-Free Computer-Assisted Handwriting Analysis Exploiting Optimal Topology ANNs on Biometric Signals in Parkinson's Disease Research
Vitoantonio Bevilacqua et al.
INTELLIGENT COMPUTING THEORIES AND APPLICATION, PT II (2018)
An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis
Nicole Dalia Cilia et al.
9TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN-2018) / 8TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2018) (2018)
Clock drawing test in screening for Alzheimer's dementia and mild cognitive impairment in clinical practice
Martin Vyhnalek et al.
INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY (2017)
Kinematic and Pressure Features of Handwriting and Drawing: Preliminary Results Between Patients with Mild Cognitive Impairment, Alzheimer Disease and Healthy Controls
Josep Garre-Olmo et al.
CURRENT ALZHEIMER RESEARCH (2017)
LIBSVM: A Library for Support Vector Machines
Chih-Chung Chang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)
Alzheimer's disease and mild cognitive impairment deteriorate fine movement control
Jin H. Yan et al.
JOURNAL OF PSYCHIATRIC RESEARCH (2008)
Central and peripheral agraphia in Alzheimer's disease: From the case of Auguste D. to a cognitive neuropsychology approach
Jany Lambert et al.
CORTEX (2007)
Dysgraphia in Alzheimer's disease: A review for clinical and research purposes
Jean Neils-Strunjas et al.
JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH (2006)
Kinematic analysis of handwriting movements in patients with Alzheimer's disease, mild cognitive impairment, depression and healthy subjects
A Schroter et al.
DEMENTIA AND GERIATRIC COGNITIVE DISORDERS (2003)