World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8500
World Ranking
6859
National Ranking
3010

Overview

Frank Y. Shih is affiliated with the New Jersey Institute of Technology in the United States and primarily conducts research in the field of Computer Science. Their work spans several subfields, including Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Media Technology, Artificial Intelligence, and Dermatology.

The scientist's research interests cover a variety of topics such as Advanced Neural Network Applications, Radiomics and Machine Learning in Medical Imaging, Remote Sensing and LiDAR Applications, Adversarial Robustness in Machine Learning, COVID-19 diagnosis using AI, Remote-Sensing Image Classification, and Automated Road and Building Extraction.

Shih has contributed to several recent papers, reflecting the diverse applications of neural networks and pattern recognition techniques. Notable published works include:

  • Automated Diagnosis of Acne and Rosacea using Convolution Neural Networks, 2021, published in the 2021 4th International Conference on Artificial Intelligence and Pattern Recognition
  • Deep Morphological Neural Networks, 2022, International Journal of Pattern Recognition and Artificial Intelligence
  • Medical X-Ray Image Enhancement Using Global Contrast-Limited Adaptive Histogram Equalization, 2024, International Journal of Pattern Recognition and Artificial Intelligence
  • Classification of Ecological Data by Deep Learning, 2020, International Journal of Pattern Recognition and Artificial Intelligence
  • An Automated and Robust Image Watermarking Scheme Based on Deep Neural Networks, 2020, arXiv (Cornell University)

The scientist frequently collaborates with a group of coauthors, including Yucong Shen, Xin Zhong, Yanan Yang, Shaobo Liu, and Usman Roshan. These collaborations have contributed to the breadth and impact of their research portfolio.

Frank Y. Shih's work is often published in recognized venues, notably:

  • International Journal of Pattern Recognition and Artificial Intelligence (18 publications)
  • arXiv (Cornell University) (3 publications)
  • 2021 4th International Conference on Artificial Intelligence and Pattern Recognition
  • Algorithmic Finance
  • SSRN Electronic Journal

Best Publications

  • Automatic seeded region growing for color image segmentation

    Frank Y. Shih;Shouxian Cheng

  • Image Processing and Pattern Recognition: Fundamentals and Techniques

    Frank Y. Shih

  • Image Processing and Mathematical Morphology: Fundamentals and Applications

    Frank Y. Shih

  • Digital Watermarking and Steganography: Fundamentals and Techniques

    Frank Y. Shih

  • Retinal vessels segmentation based on level set and region growing

    Yu Qian Zhao;Xiao Hong Wang;Xiao Fang Wang;Frank Y. Shih

  • Combinational image watermarking in the spatial and frequency domains

    Frank Y. Shih;Scott Y.T. Wu

  • Threshold decomposition of gray-scale morphology into binary morphology

    F.Y. Shih;O.R. Mitchell

  • PERFORMANCE COMPARISONS OF FACIAL EXPRESSION RECOGNITION IN JAFFE DATABASE

    Frank Y. Shih;Chao Fa Chuang;Patrick S.P. Wang

  • Automatic extraction of head and face boundaries and facial features

    Frank Y. Shih;Chao-Fa Chuang

  • Exact and approximate algorithms for unordered tree matching

    D. Shasha;J.T.-L. Wang;Kaizhong Zhang;F.Y. Shih

  • Robust watermarking and compression for medical images based on genetic algorithms

    Frank Y. Shih;Yi-Ta Wu

  • Machine recognition and representation of neonatal facial displays of acute pain

    Sheryl Brahnam;Chao-Fa Chuang;Frank Y. Shih;Melinda R. Slack

  • An efficient expanding block algorithm for image copy-move forgery detection

    Gavin Lynch;Frank Y. Shih;Hong-Yuan Mark Liao

  • A mathematical morphology approach to Euclidean distance transformation

    F.Y.-C. Shih;O.R. Mitchell

  • A skeletonization algorithm by maxima tracking on Euclidean distance transform

    Frank Y. Shih;Christopher C. Pu

  • A Robust Image Watermarking System Based on Deep Neural Networks.

    Xin Zhong;Frank Y. Shih

  • Adaptive mathematical morphology for edge linking

    Frank Y. Shih;Shouxian Cheng

  • Machine assessment of neonatal facial expressions of acute pain

    Sheryl Brahnam;Chao-Fa Chuang;Randall S. Sexton;Frank Y. Shih

  • Fast Euclidean distance transformation in two scans using a 3 × 3 neighborhood

    Frank Y. Shih;Yi-Ta Wu

  • Genetic algorithm based methodology for breaking the steganalytic systems

    Yi-Ta Wu;F.Y. Shih

  • Rapid and Brief Communication: Recognizing facial action units using independent component analysis and support vector machine

    Chao-Fa Chuang;Frank Y. Shih

  • An Automated and Robust Image Watermarking Scheme Based on Deep Neural Networks

    Xin Zhong;Pei-Chi Huang;Spyridon Mastorakis;Frank Y. Shih

Frequent Co-Authors

Haimin Wang
Haimin Wang New Jersey Institute of Technology
Sheryl Brahnam
Sheryl Brahnam Missouri State University
Yun Q. Shi
Yun Q. Shi New Jersey Institute of Technology
Soo-Chang Pei
Soo-Chang Pei National Taiwan University
Jason T. L. Wang
Jason T. L. Wang New Jersey Institute of Technology
Dennis Shasha
Dennis Shasha New York University
Han-Chieh Chao
Han-Chieh Chao Fo Guang University
Anna M. Barrett
Anna M. Barrett UMass Memorial Health Care
Jeffrey R. Binder
Jeffrey R. Binder Medical College of Wisconsin
Xiaofeng Liao
Xiaofeng Liao Chongqing University

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