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Yuki Hagiwara
Yuki Hagiwara
Highly Cited Researcher in Cross-Field, Fraunhofer IKS
Verified email at iks.fraunhofer.de
Title
Cited by
Cited by
Year
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
UR Acharya, SL Oh, Y Hagiwara, JH Tan, H Adeli
Computers in biology and medicine 100, 270-278, 2018
16982018
A deep convolutional neural network model to classify heartbeats
UR Acharya, SL Oh, Y Hagiwara, JH Tan, M Adam, A Gertych, R San Tan
Computers in biology and medicine 89, 389-396, 2017
14172017
Deep learning for healthcare applications based on physiological signals: A review
O Faust, Y Hagiwara, TJ Hong, OS Lih, UR Acharya
Computer methods and programs in biomedicine 161, 1-13, 2018
10742018
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam
Information Sciences 415, 190-198, 2017
9922017
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
UR Acharya, H Fujita, OS Lih, Y Hagiwara, JH Tan, M Adam
Information sciences 405, 81-90, 2017
8012017
A deep learning approach for Parkinson’s disease diagnosis from EEG signals
SL Oh, Y Hagiwara, U Raghavendra, R Yuvaraj, N Arunkumar, ...
Neural Computing and Applications 32, 10927-10933, 2020
6482020
Automated EEG-based screening of depression using deep convolutional neural network
UR Acharya, SL Oh, Y Hagiwara, JH Tan, H Adeli, DP Subha
Computer methods and programs in biomedicine 161, 103-113, 2018
6012018
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals
JH Tan, Y Hagiwara, W Pang, I Lim, SL Oh, M Adam, R San Tan, M Chen, ...
Computers in biology and medicine 94, 19-26, 2018
3732018
Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals
UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan, M Adam, RS Tan
Applied Intelligence 49, 16-27, 2019
3302019
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network
UR Acharya, H Fujita, SL Oh, U Raghavendra, JH Tan, M Adam, ...
Future Generation Computer Systems 79, 952-959, 2018
3132018
Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study
UR Acharya, H Fujita, M Adam, OS Lih, VK Sudarshan, TJ Hong, ...
Information Sciences 377, 17-29, 2017
2452017
Parkinson's disease: Cause factors, measurable indicators, and early diagnosis
S Bhat, UR Acharya, Y Hagiwara, N Dadmehr, H Adeli
Computers in biology and medicine 102, 234-241, 2018
2062018
Automated seizure prediction
UR Acharya, Y Hagiwara, H Adeli
Epilepsy & Behavior 88, 251-261, 2018
2052018
Characterization of focal EEG signals: A review
UR Acharya, Y Hagiwara, SN Deshpande, S Suren, JEW Koh, SL Oh, ...
Future Generation Computer Systems 91, 290-299, 2019
2022019
Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review
Y Hagiwara, H Fujita, SL Oh, JH Tan, R San Tan, EJ Ciaccio, UR Acharya
Information Sciences 467, 99-114, 2018
1992018
Computer-aided diagnosis of glaucoma using fundus images: A review
Y Hagiwara, JEW Koh, JH Tan, SV Bhandary, A Laude, EJ Ciaccio, ...
Computer methods and programs in biomedicine 165, 1-12, 2018
1762018
Age-related macular degeneration detection using deep convolutional neural network
JH Tan, SV Bhandary, S Sivaprasad, Y Hagiwara, A Bagchi, ...
Future Generation Computer Systems 87, 127-135, 2018
1742018
A novel Parkinson’s Disease Diagnosis Index using higher-order spectra features in EEG signals
R Yuvaraj, U Rajendra Acharya, Y Hagiwara
Neural Computing and Applications 30, 1225-1235, 2018
1682018
Application of higher-order spectra for the characterization of coronary artery disease using electrocardiogram signals
UR Acharya, VK Sudarshan, JEW Koh, RJ Martis, JH Tan, SL Oh, ...
Biomedical Signal Processing and Control 31, 31-43, 2017
1462017
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images
UR Acharya, U Raghavendra, H Fujita, Y Hagiwara, JEW Koh, TJ Hong, ...
Computers in biology and medicine 79, 250-258, 2016
1192016
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