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Vidya K. Sudarshan

Observed names: Sudarshan, Vidya K, VIDYA K SUDARSHAN, VIDYA K. SUDARSHAN, Vidya K. Sudarshan, Vidya K Sudarshan, Vidya Sudarshan
Observed institutions: Johnson & Johnson (United States), Nanyang Technological University, University of Southern Denmark, Singapore General Hospital, Newcastle University Singapore, Ngee Ann Polytechnic, Singapore University of Social Sciences
ORCID: 0000-0003-4494-8226
Observed ORCID: 0000-0003-4494-8226
OpenAlex ID: A5090585259
Application of entropies for automated diagnosis of epilepsy using EEG signals: A review
2015 · U. Rajendra Acharya, H. Fujita, et al. · Knowledge-Based Systems · 502
A Novel Depression Diagnosis Index Using Nonlinear Features in EEG Signals
2015 · U. Rajendra Acharya, Vidya K. Sudarshan, et al. · European Neurology · 284
Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads
2016 · U. Rajendra Acharya, Hamido Fujita, et al. · Knowledge-Based Systems · 246
Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study
2016 · U Rajendra Acharya, Hamido Fujita, et al. · Information Sciences · 234
Computer-Aided Diagnosis of Depression Using EEG Signals
2015 · U. Rajendra Acharya, Vidya K. Sudarshan, et al. · European Neurology · 200
Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals
2016 · U. Rajendra Acharya, Vidya K. Sudarshan, et al. · Biomedical Signal Processing and Control · 135
An integrated index for detection of Sudden Cardiac Death using Discrete Wavelet Transform and nonlinear features
2015 · U. Rajendra Acharya, Hamido Fujita, et al. · Knowledge-Based Systems · 134
The role of critical thinking on undergraduates' reliance behaviours on generative AI in problem‐solving
2025 · Chenyu Hou, Gaoxia Zhu, et al. · British Journal of Educational Technology · 119
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Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index
2016 · Hamido Fujita, U. Rajendra Acharya, et al. · Applied Soft Computing · 118
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images
2016 · U. Rajendra Acharya, U. Raghavendra, et al. · Computers in Biology and Medicine · 112
Automated detection of premature delivery using empirical mode and wavelet packet decomposition techniques with uterine electromyogram signals
2017 · U. Rajendra Acharya, Vidya K. Sudarshan, et al. · Computers in Biology and Medicine · 105
Automated characterization of coronary artery disease, myocardial infarction, and congestive heart failure using contourlet and shearlet transforms of electrocardiogram signal
2017 · U Rajendra Acharya, Hamido Fujita, et al. · Knowledge-Based Systems · 102
Measuring undergraduate students' reliance on Generative AI during problem-solving: Scale development and validation
2025 · Chenyu Hou, Gaoxia Zhu, et al. · Computers & Education · 100
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Application of wavelet techniques for cancer diagnosis using ultrasound images: A Review
2015 · Vidya K Sudarshan, Muthu Rama Krishnan Mookiah, et al. · Computers in Biology and Medicine · 95
Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2 s of ECG signals
2017 · Vidya K. Sudarshan, U.Rajendra Acharya, et al. · Computers in Biology and Medicine · 94
Automated characterization of arrhythmias using nonlinear features from tachycardia ECG beats
2016 · U Rajendra Acharya, Hamido Fujita, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 81
Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study
2021 · Vidya K. Sudarshan, Mikkel Brabrand, et al. · Computers in Biology and Medicine · 77
Towards precision medicine: from quantitative imaging to radiomics
2018 · U. Rajendra Acharya, Yuki Hagiwara, et al. · Journal of Zhejiang University SCIENCE B · 77
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Ultrasound-based tissue characterization and classification of fatty liver disease: A screening and diagnostic paradigm
2014 · U. Rajendra Acharya, Oliver Faust, et al. · Knowledge-Based Systems · 74
RETRACTED ARTICLE: Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals
2016 · U. Rajendra Acharya, Hamido Fujita, et al. · Neural Computing and Applications · 72
Future IoT tools for COVID ‐19 contact tracing and prediction: A review of the state‐of‐the‐science
2021 · Vicnesh Jahmunah, Vidya K. Sudarshan, et al. · International Journal of Imaging Systems and Technology · 64
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Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals
2018 · Muhammad Adam, Shu Lih Oh, et al. · Computer Methods and Programs in Biomedicine · 64
Automated Prediction of Sudden Cardiac Death Risk Using Kolmogorov Complexity and Recurrence Quantification Analysis Features Extracted from HRV Signals
2015 · U. Rajendra Acharya, Hamido Fujita, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 56
An integrated index for identification of fatty liver disease using radon transform and discrete cosine transform features in ultrasound images
2015 · U Rajendra Acharya, Hamido Fujita, et al. · Information Fusion · 54
Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach
2021 · Joel En Wei Koh, Simona De Michele, et al. · Computer Methods and Programs in Biomedicine · 48
Works count: 69
Citation count: 3,745
H-index: 30
I10-index: 41
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