Jen Hong Tan

发表

Computer-aided diagnosis of glaucoma using fundus images: A review

U. Rajendra Acharya, Sulatha V. Bhandary, Joel E. W. Koh, 2018, Comput. Methods Programs Biomed..

Decision support system for age-related macular degeneration using discrete wavelet transform

Kevin Noronha, U. Rajendra Acharya, Vinod Chandran, 2014, Medical & Biological Engineering & Computing.

Computer aided diagnosis of atrial arrhythmia using dimensionality reduction methods on transform domain representation

U. Rajendra Acharya, Roshan Joy Martis, Hojjat Adeli, 2014, Biomed. Signal Process. Control..

SVR ensemble-based continuous blood pressure prediction using multi-channel photoplethysmogram

E. Y. K. Ng, Jen Hong Tan, Mark Wong Kei Fong, 2019, Comput. Biol. Medicine.

Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network

U. Raghavendra, U. Rajendra Acharya, Hamido Fujita, 2018, Future Gener. Comput. Syst..

Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal

U. Rajendra Acharya, Hamido Fujita, Chua Kuang Chua, 2017, Knowl. Based Syst..

Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals

U. Rajendra Acharya, Hamido Fujita, Chua Kuang Chua, 2016, Neural Computing and Applications.

Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2016, Comput. Biol. Medicine.

Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals

U. Rajendra Acharya, Hamido Fujita, Yuki Hagiwara, 2018, Applied Intelligence.

Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2 s of ECG signals

U. Rajendra Acharya, Chua Kuang Chua, Jen Hong Tan, 2017, Comput. Biol. Medicine.

Automated diagnosis of dry eye using infrared thermography images

Chua Kuang Chua, U. Rajendra Acharya, Joel E.W. Koh, 2015 .

Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals

U. Rajendra Acharya, Roshan Joy Martis, Chua Kuang Chua, 2017, Biomed. Signal Process. Control..

Application of higher-order spectra for automated grading of diabetic maculopathy

U. Rajendra Acharya, Roshan Joy Martis, Vinod Chandran, 2015, Medical & Biological Engineering & Computing.

A deep convolutional neural network model to classify heartbeats

U. Rajendra Acharya, Arkadiusz Gertych, Yuki Hagiwara, 2017, Comput. Biol. Medicine.

Segmentation of optic disc, fovea and retinal vasculature using a single convolutional neural network

U. Rajendra Acharya, Sulatha V. Bhandary, Chua Kuang Chua, 2017, J. Comput. Sci..

Use of Nonlinear Features for Automated Characterization of Suspicious Ovarian Tumors Using Ultrasound Images in Fuzzy Forest Framework

U. Raghavendra, U. Rajendra Acharya, Kwan Hoong Ng, 2018, International Journal of Fuzzy Systems.

Application of Empirical Mode Decomposition (EMD) for Automated Detection of epilepsy using EEG signals

U. Rajendra Acharya, Roshan Joy Martis, Chua Kuang Chua, 2012, Int. J. Neural Syst..

Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

U. Rajendra Acharya, Hojjat Adeli, Yuki Hagiwara, 2017, Comput. Biol. Medicine.

Automated diabetic macular edema (DME) grading system using DWT, DCT Features and maculopathy index

U. Rajendra Acharya, Sulatha V. Bhandary, Chua Kuang Chua, 2017, Comput. Biol. Medicine.

Application of different imaging modalities for diagnosis of Diabetic Macular Edema: A review

U. Rajendra Acharya, Sulatha V. Bhandary, Hamido Fujita, 2015, Comput. Biol. Medicine.

Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies

U. Rajendra Acharya, Sulatha V. Bhandary, Subbhuraam Vinitha Sree, 2017, Comput. Biol. Medicine.

Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index

U. Rajendra Acharya, Sulatha V. Bhandary, Hamido Fujita, 2016, Comput. Biol. Medicine.

Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads

U. Rajendra Acharya, Roshan Joy Martis, Hamido Fujita, 2016, Knowl. Based Syst..

Automated diagnosis of celiac disease using DWT and nonlinear features with video capsule endoscopy images

U. Rajendra Acharya, Joel E. W. Koh, Yuki Hagiwara, 2019, Future Gener. Comput. Syst..

Local configuration pattern features for age-related macular degeneration characterization and classification

Kevin Noronha, U. Rajendra Acharya, Sulatha V. Bhandary, 2015, Comput. Biol. Medicine.

Deep learning for healthcare applications based on physiological signals: A review

U. Rajendra Acharya, Oliver Faust, Yuki Hagiwara, 2018, Comput. Methods Programs Biomed..

Automated diagnosis of Age-related Macular Degeneration using greyscale features from digital fundus images

Kevin Noronha, U. Rajendra Acharya, Vinod Chandran, 2014, Comput. Biol. Medicine.

Application of Intrinsic Time-Scale Decomposition (ITD) to EEG signals for Automated seizure Prediction

U. Rajendra Acharya, Roshan Joy Martis, Chua Kuang Chua, 2013, Int. J. Neural Syst..

Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine

U. Rajendra Acharya, Subbhuraam Vinitha Sree, E. Y. K. Ng, 2012, Journal of Medical Systems.

Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network

U. Rajendra Acharya, Hamido Fujita, Chua Kuang Chua, 2017, Knowl. Based Syst..

Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study

U. Rajendra Acharya, Hamido Fujita, Chua Kuang Chua, 2017, Inf. Sci..

Automated EEG-based screening of depression using deep convolutional neural network

U. Rajendra Acharya, Hojjat Adeli, Yuki Hagiwara, 2018, Comput. Methods Programs Biomed..

Active spline model: A shape based model - interactive segmentation pdf

U. Rajendra Acharya, Jen Hong Tan, J. Tan, 2014, Digit. Signal Process..

Automated characterization of arrhythmias using nonlinear features from tachycardia ECG beats

U. Rajendra Acharya, Hamido Fujita, Joel E. W. Koh, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Automated Diagnosis of epilepsy using CWT, HOS and Texture parameters

U. Rajendra Acharya, Roshan Joy Martis, Choo Min Lim, 2013, Int. J. Neural Syst..

Alcoholic index using non-linear features Extracted from different frequency bands

Joel E.W. Koh, Yuki Hagiwara, Jen Hong Tan, 2017 .

Computer aided diagnosis of diabetic foot using infrared thermography: A review

U. Rajendra Acharya, Jasper Tong, Kwan Hoong Ng, 2017, Comput. Biol. Medicine.

An interactive lung field segmentation scheme with automated capability

U. Rajendra Acharya, Choo Min Lim, Jen Hong Tan, 2013, Digit. Signal Process..

U. Raghavendra, U. Rajendra Acharya, Sulatha V. Bhandary, 2018, Future Gener. Comput. Syst..

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals

U. Rajendra Acharya, Ming Chen, Yuki Hagiwara, 2018, Comput. Biol. Medicine.

Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals

U. Rajendra Acharya, Joel E. W. Koh, Yuki Hagiwara, 2018, Comput. Methods Programs Biomed..

Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

U. Rajendra Acharya, Hamido Fujita, Yuki Hagiwara, 2017, Inf. Sci..

Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2018, Inf. Sci..

Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features

U. Rajendra Acharya, Chai Hong Yeong, Arkadiusz Gertych, 2018, Comput. Biol. Medicine.

Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images

Anjan Gudigar, U. Raghavendra, U. Rajendra Acharya, 2016, Appl. Soft Comput..

Automated extraction of retinal vasculature.

U Rajendra Acharya, Augustinus Laude, Jen Hong Tan, 2016, Medical physics.

Novel risk index for the identification of age-related macular degeneration using radon transform and DWT features

Kevin Noronha, U. Rajendra Acharya, Sulatha V. Bhandary, 2016, Comput. Biol. Medicine.

Pseudocolours for thermography-Multi-segments colour scale

U. Rajendra Acharya, Jen Hong Tan, J. Tan, 2015 .

Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network

U. Rajendra Acharya, Hamido Fujita, Yuki Hagiwara, 2017, Inf. Sci..

An Efficient Automated Algorithm to Detect Ocular Surface Temperature on Sequence of Thermograms Using Snake and Target Tracing Function

U. Rajendra Acharya, E. Y. K. Ng, Jen Hong Tan, 2010, Journal of Medical Systems.

Automated study of ocular thermal images: Comprehensive analysis of corneal health with different age group subjects and validation

U. Rajendra Acharya, E. Y. K. Ng, Jen Hong Tan, 2010, Digit. Signal Process..

Automated detection of age-related macular degeneration using empirical mode decomposition

Kevin Noronha, U. Rajendra Acharya, Sulatha V. Bhandary, 2015, Knowl. Based Syst..

Development of computer methods in the investigations of ocular surface temperature by infrared thermography

Jen Hong Tan, 2011 .

An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters

U. Rajendra Acharya, Subbhuraam Vinitha Sree, Kwan Hoong Ng, 2012, Journal of Medical Systems.

Characterization of Cardiovascular Diseases Using Wavelet Packet Decomposition and Nonlinear Measures of Electrocardiogram Signal

U. Rajendra Acharya, Hamido Fujita, Chua Kuang Chua, 2017, IEA/AIE.

Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network

U. Rajendra Acharya, Sulatha V. Bhandary, Hamido Fujita, 2017, Inf. Sci..

Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review

U. Rajendra Acharya, Hamido Fujita, Yuki Hagiwara, 2018, Inf. Sci..

Data mining framework for breast lesion classification in shear wave ultrasound: A hybrid feature paradigm

U. Rajendra Acharya, Kwan Hoong Ng, Chai Hong Yeong, 2017, Biomed. Signal Process. Control..

An integrated index for identification of fatty liver disease using radon transform and discrete cosine transform features in ultrasound images

U. Rajendra Acharya, Hamido Fujita, Chua Kuang Chua, 2016, Inf. Fusion.

Computer-Assisted Diagnosis of Tuberculosis: A First Order Statistical Approach to Chest Radiograph

U. Rajendra Acharya, Choo Min Lim, Jen Hong Tan, 2012, Journal of Medical Systems.

Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features

U. Rajendra Acharya, Sulatha V. Bhandary, Joel E. W. Koh, 2017, J. Comput. Sci..

Shear wave elastography for characterization of breast lesions: Shearlet transform and local binary pattern histogram techniques

U. Rajendra Acharya, Kwan Hoong Ng, Chai Hong Yeong, 2017, Comput. Biol. Medicine.

Repeatability of a New Method for Measuring Tear Evaporation Rates

Jen Hong Tan, Andrea Petznick, J. Tan, 2013, Optometry and vision science : official publication of the American Academy of Optometry.

AUTOMATED IDENTIFICATION OF CORONARY ARTERY DISEASE FROM SHORT-TERM 12 LEAD ELECTROCARDIOGRAM SIGNALS BY USING WAVELET PACKET DECOMPOSITION AND COMMON SPATIAL PATTERN TECHNIQUES

Joel E. W. Koh, Yuki Hagiwara, Jen Hong Tan, 2017 .

SHOCKABLE VERSUS NONSHOCKABLE LIFE-THREATENING VENTRICULAR ARRHYTHMIAS USING DWT AND NONLINEAR FEATURES OF ECG SIGNALS

Yuki Hagiwara, Jen Hong Tan, Ru San Tan, 2017 .

Diagnosis of response and non-response to dry eye treatment using infrared thermography images

Jen Hong Tan, Wei Jie Eugene Lim, Kuang Chua Chua, 2014 .

Longitudinal changes in tear fluid lipidome brought about by eyelid-warming treatment in a cohort of meibomian gland dysfunction[S]

Jen Hong Tan, Andrea Petznick, Guanghou Shui, 2014, Journal of Lipid Research.

Evaluation of topographical variation in ocular surface temperature by functional infrared thermography

Jen Hong Tan, E. Y. K. Ng, U. Rajendra Acharya, 2011 .

Automated detection of diabetic foot with and without neuropathy using double density-dual tree-complex wavelet transform on foot thermograms

Yuki Hagiwara, Jen Hong Tan, Shu Lih Oh, 2018, Infrared Physics & Technology.

Entropies for automated detection of coronary artery disease using ECG signals: A review

Joel E. W. Koh, Yuki Hagiwara, Jen Hong Tan, 2018 .

PERFORMANCE EVALUATION OF DRY EYE DETECTION SYSTEM USING HIGHER-ORDER SPECTRA FEATURES FOR DIFFERENT NOISE LEVELS IN IR THERMAL IMAGES

Joel E. W. Koh, Yuki Hagiwara, Jen Hong Tan, 2017 .

Automated characterization of diabetic foot using nonlinear features extracted from thermograms

Yuki Hagiwara, Jen Hong Tan, Shu Lih Oh, 2018 .

AUTOMATED CHARACTERIZATION AND DETECTION OF DIABETIC RETINOPATHY USING TEXTURE MEASURES

Chua Kuang Chua, Augustinus Laude, Jen Hong Tan, 2015 .