Detection of Parkinson's Disease Through Static and Dynamic Spiral Test Drawings: A Transfer Learning Approach

2019 ◽

Vol 16 (1) ◽

pp. 180-191 ◽

Cited By ~ 9

Author(s):

Hyunsoo Yoon ◽

Jing Li

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Transfer Learning ◽

Positive Transfer ◽

Learning Approach

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Insight into an unsupervised two-step sparse transfer learning algorithm for speech diagnosis of Parkinson’s disease

Neural Computing and Applications ◽

10.1007/s00521-021-05741-0 ◽

2021 ◽

Author(s):

Yongming Li ◽

Xinyue Zhang ◽

Pin Wang ◽

Xiaoheng Zhang ◽

Yuchuan Liu

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Transfer Learning ◽

Learning Algorithm ◽

Insight Into

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Fast and robust supervised machine learning approach for classification and prediction of Parkinson’s disease onset

Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization ◽

10.1080/21681163.2021.1941262 ◽

2021 ◽

pp. 1-17

Author(s):

Lavanya Madhuri Bollipo ◽

Kadambari K V

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Disease Onset ◽

Supervised Machine Learning ◽

Learning Approach ◽

Machine Learning Approach

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Parkinson’s Disease Detection Using FMRI Images Leveraging Transfer Learning on Convolutional Neural Network

2020 International Conference on Machine Learning and Cybernetics (ICMLC) ◽

10.1109/icmlc51923.2020.9469530 ◽

2020 ◽

Author(s):

ASADUZZAMAN SAJEEB ◽

A.F.M. NAZMUS SAKIB ◽

SANJIDA ALI SHUSHMITA ◽

S. M. ASHRAF KABIR ◽

MD TANZIM REZA ◽

...

Keyword(s):

Neural Network ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Convolutional Neural Network ◽

Transfer Learning ◽

Disease Detection

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Frequency-Specific Changes of Resting Brain Activity in Parkinson’s Disease: A Machine Learning Approach

Neuroscience ◽

10.1016/j.neuroscience.2020.01.049 ◽

2020 ◽

Vol 436 ◽

pp. 170-183 ◽

Cited By ~ 1

Author(s):

Zhi-yao Tian ◽

Long Qian ◽

Lei Fang ◽

Xue-hua Peng ◽

Xiao-hu Zhu ◽

...

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Brain Activity ◽

Learning Approach ◽

Machine Learning Approach

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SVM based machine learning approach to identify Parkinson's disease using gait analysis

2016 International Conference on Inventive Computation Technologies (ICICT) ◽

10.1109/inventive.2016.7824836 ◽

2016 ◽

Cited By ~ 14

Author(s):

Sachin Shetty ◽

Y. S. Rao

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Gait Analysis ◽

Learning Approach ◽

Machine Learning Approach

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Detection of Parkinson’s Disease from Hand-Drawn Images Using Deep Transfer Learning

Intelligent Learning for Computer Vision - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-981-33-4582-9_6 ◽

2021 ◽

pp. 67-84

Author(s):

Akalpita Das ◽

Himanish Shekhar Das ◽

Arijeet Choudhury ◽

Anupal Neog ◽

Sourav Mazumdar

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Transfer Learning

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Deep Learning Approach to Parkinson’s Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2019.8856972 ◽

2019 ◽

Cited By ~ 2

Author(s):

Marek Wodzinski ◽

Andrzej Skalski ◽

Daria Hemmerling ◽

Juan Rafael Orozco-Arroyave ◽

Elmar Noth

Keyword(s):

Neural Network ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Deep Learning ◽

Convolutional Neural Network ◽

Image Classification ◽

Disease Detection ◽

Learning Approach

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Diagnosis of Parkinson’s disease using deep CNN with transfer learning and data augmentation

Multimedia Tools and Applications ◽

10.1007/s11042-020-10114-1 ◽

2020 ◽

Author(s):

Sukhpal Kaur ◽

Himanshu Aggarwal ◽

Rinkle Rani

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Transfer Learning ◽

Data Augmentation ◽

Deep Cnn

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A machine learning approach to targeted balance rehabilitation in people with Parkinson’s disease using a sparse sensor set

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2018.8512530 ◽

2018 ◽

Author(s):

Nathaniel T. Pickle ◽

Staci M. Shearin ◽

Nicholas P. Fey

Keyword(s):

Machine Learning ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Learning Approach ◽

Machine Learning Approach ◽

Balance Rehabilitation

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Detection of Parkinson's Disease Through Static and Dynamic Spiral Test Drawings: A Transfer Learning Approach

A Novel Positive Transfer Learning Approach for Telemonitoring of Parkinson’s Disease

Insight into an unsupervised two-step sparse transfer learning algorithm for speech diagnosis of Parkinson’s disease

Fast and robust supervised machine learning approach for classification and prediction of Parkinson’s disease onset

Parkinson’s Disease Detection Using FMRI Images Leveraging Transfer Learning on Convolutional Neural Network

Frequency-Specific Changes of Resting Brain Activity in Parkinson’s Disease: A Machine Learning Approach

SVM based machine learning approach to identify Parkinson's disease using gait analysis

Detection of Parkinson’s Disease from Hand-Drawn Images Using Deep Transfer Learning

Deep Learning Approach to Parkinson’s Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification

Diagnosis of Parkinson’s disease using deep CNN with transfer learning and data augmentation

A machine learning approach to targeted balance rehabilitation in people with Parkinson’s disease using a sparse sensor set

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