Refining Parkinson’s neurological disorder identification through deep transfer learning
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Refining Parkinson’s neurological disorder identification through deep transfer learning
Authors
Keywords
Parkinson disease, Handwriting analysis, Neurodegenerative disorder
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-02-05
DOI
10.1007/s00521-019-04069-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification
- (2018) Clayton R. Pereira et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease
- (2018) Deepak Gupta et al. Cognitive Systems Research
- Improved diagnosis of Parkinson's disease using optimized crow search algorithm
- (2018) Deepak Gupta et al. COMPUTERS & ELECTRICAL ENGINEERING
- Relations between Sensorimotor Integration and Speech Disorders in Parkinson's Disease
- (2018) Lymarie Millian-Morell et al. Current Alzheimer Research
- Towards remote monitoring of Parkinson’s disease tremor using wearable motion capture systems
- (2018) Mehdi Delrobaei et al. JOURNAL OF THE NEUROLOGICAL SCIENCES
- Digitized spiral analysis may be a potential biomarker for brachial dystonia
- (2018) Jeffrey Ratliff et al. PARKINSONISM & RELATED DISORDERS
- Assessing visual attributes of handwriting for prediction of neurological disorders—A case study on Parkinson’s disease
- (2018) Momina Moetesum et al. PATTERN RECOGNITION LETTERS
- A Machine Learning Approach to Detecting of Freezing of Gait in Parkinson's Disease Patients
- (2018) Yi Xia et al. Journal of Medical Imaging and Health Informatics
- Assessing Tremor and Adverse Events in Patients With Tremor-Dominant Parkinson Disease Undergoing Focused Ultrasound Thalamotomy—Reply
- (2018) Aaron E. Bond et al. JAMA Neurology
- Quantitative Analysis of Bradykinesia and Rigidity in Parkinson’s Disease
- (2018) Lazzaro di Biase et al. Frontiers in Neurology
- Levodopa-Induced Changes in Electromyographic Patterns in Patients with Advanced Parkinson’s Disease
- (2018) Verneri Ruonala et al. Frontiers in Neurology
- Animal models of early-stage Parkinson’s disease and acute dopamine deficiency to study compensatory neurodegenerative mechanisms
- (2018) Laura Clara Grandi et al. JOURNAL OF NEUROSCIENCE METHODS
- A recurrence plot-based approach for Parkinson’s disease identification
- (2018) Luis C.S. Afonso et al. Future Generation Computer Systems-The International Journal of eScience
- Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks
- (2018) Muhammad Imran Razzak et al. IEEE Journal of Biomedical and Health Informatics
- Spatial Analysis of Handwritten Texts as a Marker of Cognitive Control
- (2017) Y. Crespo et al. JOURNAL OF MOTOR BEHAVIOR
- Urdu Nastaliq recognition using convolutional–recursive deep learning
- (2017) Saeeda Naz et al. NEUROCOMPUTING
- Handwriting training in Parkinson’s disease: A trade-off between size, speed and fluency
- (2017) Evelien Nackaerts et al. PLoS One
- Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging
- (2017) Hongyoon Choi et al. NeuroImage-Clinical
- Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks
- (2016) Saeeda Naz et al. NEUROCOMPUTING
- Speech disorders and Parkinson's disease
- (2016) Massimo Pettorino et al. PARKINSONISM & RELATED DISORDERS
- Digitized Spiral Drawing: A Possible Biomarker for Early Parkinson’s Disease
- (2016) Marta San Luciano et al. PLoS One
- Urdu Nasta’liq text recognition system based on multi-dimensional recurrent neural network and statistical features
- (2015) Saeeda Naz et al. NEURAL COMPUTING & APPLICATIONS
- Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease
- (2014) Peter Drotár et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- A new hybrid intelligent system for accurate detection of Parkinson's disease
- (2014) M. Hariharan et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- From micrographia to Parkinson's disease dysgraphia
- (2014) Alban Letanneux et al. MOVEMENT DISORDERS
- Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease
- (2012) A. Tsanas et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Acoustic assessment of voice and speech disorders in Parkinson's disease through quick vocal test
- (2011) Jan Rusz et al. MOVEMENT DISORDERS
- Spiralometry: Computerized assessment of tremor amplitude on the basis of spiral drawing
- (2010) Peter H. Kraus et al. MOVEMENT DISORDERS
- Digitized spiral analysis is a promising early motor marker for Parkinson Disease
- (2010) Kaili Stanley et al. PARKINSONISM & RELATED DISORDERS
- Validity of spiral analysis in early Parkinson's disease
- (2007) Rachel Saunders-Pullman et al. MOVEMENT DISORDERS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now