World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7110
World Ranking
10139
National Ranking
129

Overview

S. Vinitha Sree is affiliated with Nanyang Technological University in Singapore. Their research primarily focuses on Medicine, with specific attention to subfields such as Radiology, Nuclear Medicine and Imaging, Physiology, Epidemiology, Artificial Intelligence, and Rehabilitation.

The scientist has contributed to research in various topics including:

  • Infrared Thermography in Medicine
  • Optical Imaging and Spectroscopy Techniques
  • Thermoregulation and physiological responses
  • Acute Ischemic Stroke Management
  • Machine Learning in Healthcare
  • Stroke Rehabilitation and Recovery

S. Vinitha Sree has published in journals such as Computer Methods and Programs in Biomedicine and Bioengineering. The recent papers include:

  • "An introduction to the Cyrcadia Breast Monitor: A wearable breast health monitoring device", 2020, Computer Methods and Programs in Biomedicine
  • "Corrigendum to 'An Introduction to the Cyrcadia Breast Monitor: A Wearable Breast Health Monitoring Device'[Computer Methods and Programs in Biomedicine 197: 105758]", 2021, Computer Methods and Programs in Biomedicine
  • "Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data", 2025, Bioengineering

The research aligns closely with the integration of technology and healthcare, particularly in the development of wearable monitoring devices and the application of deep learning for medical risk prediction.

Frequent collaborators include U. Rajendra Acharya, Rob Royea, Kevin J. Buckman, Matt Benardis, and J K Holmes, with multiple joint publications reflecting ongoing research partnerships.

Best Publications

  • Automated EEG analysis of epilepsy: A review

    U. Rajendra Acharya;S. Vinitha Sree;G. Swapna;Roshan Joy Martis

  • Automated diagnosis of epileptic EEG using entropies

    U. Rajendra Acharya;Filippo Molinari;S. Vinitha Sree;Subhagata Chattopadhyay

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

    U. Rajendra Acharya;E. Y. Ng;Jen-Hong Tan;S. Vinitha Sree

  • Automated Diagnosis of Glaucoma Using Texture and Higher Order Spectra Features

    U Rajendra Acharya;Sumeet Dua;Xian Du;S Vinitha Sree

  • Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals

    U. Rajendra Acharya;S. Vinitha Sree;Peng Chuan Alvin Ang;Ratna Yanti

  • Application of recurrence quantification analysis for the automated identification of epileptic EEG signals.

    U Rajendra Acharya;S Vinitha Sree;Subhagata Chattopadhyay;Wenwei Yu

  • Wavelet-Based Energy Features for Glaucomatous Image Classification

    Unknown

  • Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform

    Donna Giri;U. Rajendra Acharya;Roshan Joy Martis;S. Vinitha Sree

  • Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework

    U. Rajendra Acharya;S. Vinitha Sree;Ang Peng Chuan Alvin;Jasjit S. Suri

  • Automatic detection of epileptic EEG signals using higher order cumulant features.

    U Rajendra Acharya;S Vinitha Sree;Jasjit S Suri

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

    U. Rajendra Acharya;E. Y. Ng;Jen-Hong Tan;S. Vinitha Sree

  • Automated diagnosis of normal and alcoholic EEG signals.

    U. Rajendra Acharya;S. Vinitha Sree;Subhagata Chattopadhyay;Jasjit S. Suri

  • Cost-Effective and Non-Invasive Automated Benign & Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan™ Algorithms

    U. R. Acharya;O. Faust;S. V. Sree;Filippo Molinari

  • ThyroScreen system: High resolution ultrasound thyroid image characterization into benign and malignant classes using novel combination of texture and discrete wavelet transform

    U. Rajendra Acharya;Oliver Faust;S Vinitha Sree;Filippo Molinari

  • Non-invasive automated 3D thyroid lesion classification in ultrasound: A class of ThyroScan™ systems

    U. Rajendra Acharya;S. Vinitha Sree;M. Muthu Rama Krishnan;Filippo Molinari

  • Atherosclerotic risk stratification strategy for carotid arteries using texture-based features.

    U. Rajendra Acharya;S. Vinitha Sree;M. Muthu Rama Krishnan;Filippo Molinari

  • Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound

    Rajendra U. Acharya;Oliver Faust;A. P. Alvin;S. Vinitha Sree

  • Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index

    Hamido Fujita;U. Rajendra Acharya;Vidya K. Sudarshan;Dhanjoo N. Ghista

  • Data mining framework for fatty liver disease classification in ultrasound: a hybrid feature extraction paradigm.

    U. Rajendra Acharya;S. Vinitha Sree;Ricardo Ribeiro;Ganapathy Krishnamurthi

  • Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment

    U. Rajendra Acharya;Muthu Rama Krishnan Mookiah;S. Vinitha Sree;David Afonso

  • Ultrasound-based tissue characterization and classification of fatty liver disease

    U. Rajendra Acharya;Oliver Faust;Filippo Molinari;S. Vinitha Sree

Frequent Co-Authors

U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Jasjit S. Suri
Jasjit S. Suri University of Idaho
Filippo Molinari
Filippo Molinari Polytechnic University of Turin
Oliver Faust
Oliver Faust Sheffield Hallam University
Eddie Y. K. Ng
Eddie Y. K. Ng Nanyang Technological University
Jen Hong Tan
Jen Hong Tan Singapore General Hospital
Rangaraj M. Rangayyan
Rangaraj M. Rangayyan University of Calgary
Joel En Wei Koh
Joel En Wei Koh Ngee Ann Polytechnic
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Ayman El-Baz
Ayman El-Baz University of Louisville

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