World's Best Scientists 2026 revealed!

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Computer Science

D-Index
32
Citations
7164
World Ranking
12922
National Ranking
5217

Overview

Karen Panetta is affiliated with Tufts University in the United States and has contributed extensively to research in diverse scientific fields. Their work primarily focuses on computer vision, pattern recognition, and biomedical engineering, incorporating artificial intelligence methods and public health considerations into their studies.

Their recent published papers include the following:

  • Tufts Dental Database: A Multimodal Panoramic X-Ray Dataset for Benchmarking Diagnostic Systems, 2021, IEEE Journal of Biomedical and Health Informatics
  • Comprehensive Underwater Object Tracking Benchmark Dataset and Underwater Image Enhancement With GAN, 2021, IEEE Journal of Oceanic Engineering
  • TMO-Net: A Parameter-Free Tone Mapping Operator Using Generative Adversarial Network, and Performance Benchmarking on Large Scale HDR Dataset, 2021, IEEE Access

Frequent collaborators of Karen Panetta include:

  • Enrique Herrera-Viedma
  • Róbert Kozma
  • Sam Kwong
  • Sos С. Agaian
  • Giancarlo Fortino

The scientist often publishes in venues such as:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Women in Engineering Magazine
  • IEEE Transactions on Computational Social Systems
  • IEEE Systems Man and Cybernetics Magazine
  • IEEE Transactions on Cybernetics

Main subfields of study are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Public Health, Environmental and Occupational Health
  • Physiology

Research topics frequently covered include:

  • Image Enhancement Techniques
  • Video Surveillance and Tracking Methods
  • Nutritional Studies and Diet
  • Advanced Neural Network Applications
  • Image and Signal Denoising Methods
  • Advanced Vision and Imaging
  • Infrared Target Detection Methodologies

Best Publications

  • Human-Visual-System-Inspired Underwater Image Quality Measures

    Karen Panetta;Chen Gao;Sos Agaian

  • Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy

    S.S. Agaian;B. Silver;K.A. Panetta

  • Transform-based image enhancement algorithms with performance measure

    S.S. Agaian;K. Panetta;A.M. Grigoryan

  • Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure

    K.A. Panetta;E.J. Wharton;S.S. Agaian

  • Nonlinear Unsharp Masking for Mammogram Enhancement

    K. Panetta;Yicong Zhou;S. Agaian;Hongwei Jia

  • No reference color image contrast and quality measures

    Karen Panetta;Chen Gao;Sos Agaian

  • Parameterized Logarithmic Framework for Image Enhancement

    K Panetta;S Agaian;Yicong Zhou;E J Wharton

  • Image encryption using P-Fibonacci transform and decomposition

    Yi Cong (周怡聰) Zhou;Karen Panetta;Sos Agaian;C. L. Philip (陳俊龍) Chen

  • A Comprehensive Database for Benchmarking Imaging Systems

    Karen Panetta;Arash Samani;Xin Yuan;Qianwen Wan

  • Tufts Dental Database: A Multimodal Panoramic X-ray Dataset for Benchmarking Diagnostic Systems.

    Karen Panetta;Rahul Rajendran;Aruna Ramesh;Shishir Paramathma Rao

  • Quantifying image similarity using measure of enhancement by entropy

    Eric A. Silva;Karen Panetta;Sos S. Agaian

  • Non-Linear Direct Multi-Scale Image Enhancement Based on the Luminance and Contrast Masking Characteristics of the Human Visual System

    Shahan C. Nercessian;Karen A. Panetta;Sos S. Agaian

  • Comprehensive Underwater Object Tracking Benchmark Dataset and Underwater Image Enhancement With GAN

    Karen Panetta;Landry Kezebou;Victor Oludare;Sos Agaian

  • (n, k, p)-Gray code for image systems

    Yicong Zhou;K. Panetta;S. Agaian;C. L. P. Chen

  • Multiresolution decomposition schemes using the parameterized logarithmic image processing model with application to image fusion

    Shahan C. Nercessian;Karen A. Panetta;Sos S. Agaian

  • QCNN-H: Single-Image Dehazing Using Quaternion Neural Networks

    Unknown

  • A logarithmic measure of image enhancement

    Eric Wharton;Sos Agaian;Karen Panetta

  • Human visual system based similarity metrics

    E. Wharton;K. Panetta;S. Agaian

  • Comparative study of logarithmic enhancement algorithms with performance measure

    Eric Wharton;Sos Agaian;Karen Panetta

  • Logarithmic edge detection with applications

    E.J. Wharton;K. Panetta;S.S. Agaian

  • Boolean Derivatives With Application to Edge Detection for Imaging Systems

    S.S. Agaian;K.A. Panetta;S.C. Nercessian;E.E. Danahy

Frequent Co-Authors

Sos S. Agaian
Sos S. Agaian City University of New York
Yicong Zhou
Yicong Zhou University of Macau
Holly A. Taylor
Holly A. Taylor Tufts University
William C. Messner
William C. Messner Tufts University
C. L. Philip Chen
C. L. Philip Chen South China University of Technology
Sarah L. Booth
Sarah L. Booth Tufts University

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