World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
64901
World Ranking
2665
National Ranking
1321

Research.com Recognitions

  • 2018 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2003 - IEEE Fellow For contributions to the theory and practice of fuzzy pattern recognition.
  • 1985 - Fellow of Alfred P. Sloan Foundation
  • 1933 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Lawrence O. Hall is affiliated with the University of South Florida in the United States. Their research contributions span several fields including radiology, nuclear medicine and imaging, artificial intelligence, biophysics, pulmonary and respiratory medicine, and statistical and nonlinear physics.

The scientist's work focuses on topics such as radiomics and machine learning in medical imaging, AI in cancer detection, cell image analysis techniques, COVID-19 diagnosis using AI, lung cancer diagnosis and treatment, complex network analysis techniques, and antenna design and analysis.

Frequent co-authors in their research include Karen Hawkins, Thomas Siegert, Stephen Welby, Ellen Randall, and James Matthews. Their publications commonly appear in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Transactions on Cybernetics, IEEE Photonics Technology Letters, IEEE Transactions on Circuits and Systems I Regular Papers, and IEEE Aerospace and Electronic Systems Magazine.

Recent papers by Lawrence O. Hall include the following:

  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: REGULAR PAPERS, 2022, IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: REGULAR PAPERS, 2022, IEEE Transactions on Circuits and Systems I Regular Papers
  • Challenges for the Repeatability of Deep Learning Models, 2020, IEEE Access
  • IEEE/ASME Transactions on Mechatronics, 2021, IEEE/ASME Transactions on Mechatronics
  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-I: REGULAR PAPERS, 2022, IEEE Transactions on Circuits and Systems I Regular Papers

Lawrence O. Hall has received several recognitions over the years, including being named an IEEE Fellow in 2003 for contributions to the theory and practice of fuzzy pattern recognition. The scientist is also a fellow of the Indian National Academy of Engineering (2018), the American Association for the Advancement of Science (2012 and earlier in 1933), and the Alfred P. Sloan Foundation (1985).

Best Publications

  • SMOTE: synthetic minority over-sampling technique

    Nitesh V. Chawla;Kevin W. Bowyer;Lawrence O. Hall;W. Philip Kegelmeyer

  • SMOTE: Synthetic Minority Over-sampling Technique

    N. V. Chawla;K. W. Bowyer;L. O. Hall;W. P. Kegelmeyer

  • Radiomics: the process and the challenges

    Virendra Kumar;Yuhua Gu;Satrajit Basu;Anders Berglund

  • SMOTEBoost: Improving Prediction of the Minority Class in Boosting

    Nitesh V. Chawla;Aleksandar Lazarevic;Lawrence O. Hall;Kevin W. Bowyer

  • Review of MR image segmentation techniques using pattern recognition.

    J. C. Bezdek;L. O. Hall;L. P. Clarke

  • MRI segmentation: Methods and applications

    L.P. Clarke;R.P. Velthuizen;M.A. Camacho;J.J. Heine

  • A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain

    L.O. Hall;A.M. Bensaid;L.P. Clarke;R.P. Velthuizen

  • Automatic tumor segmentation using knowledge-based techniques

    M.C. Clark;L.O. Hall;D.B. Goldgof;R. Velthuizen

  • Clustering with a genetically optimized approach

    L.O. Hall;I.B. Ozyurt;J.C. Bezdek

  • Validity-guided (re)clustering with applications to image segmentation

    A.M. Bensaid;L.O. Hall;J.C. Bezdek;L.P. Clarke

  • Fuzzy c-Means Algorithms for Very Large Data

    T. C. Havens;J. C. Bezdek;C. Leckie;L. O. Hall

  • Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches

    M. Zhou;J. Scott;B. Chaudhury;L. Hall

  • Partially supervised clustering for image segmentation

    Amine M. Bensaid;Lawrence O. Hall;James C. Bezdek;Laurence P. Clarke

  • Automatic segmentation of non-enhancing brain tumors in magnetic resonance images

    Lynn M Fletcher-Heath;Lawrence O Hall;Dmitry B Goldgof;F.Reed Murtagh

  • Reproducibility and Prognosis of Quantitative Features Extracted from CT Images.

    Yoganand Balagurunathan;Yuhua Gu;Hua Wang;Virendra Kumar

  • Active Learning to Recognize Multiple Types of Plankton

    Tong Luo;Kurt Kramer;Dmitry B. Goldgof;Lawrence O. Hall

  • Automatically countering imbalance and its empirical relationship to cost

    Nitesh V. Chawla;David A. Cieslak;Lawrence O. Hall;Ajay Joshi

  • Ensemble diversity measures and their application to thinning

    Robert E. Banfield;Lawrence O. Hall;Kevin W. Bowyer;W.Philip Kegelmeyer

  • MRI segmentation using fuzzy clustering techniques

    M.C. Clark;L.O. Hall;D.B. Goldgof;L.P. Clarke

  • A Comparison of Decision Tree Ensemble Creation Techniques

    R.E. Banfield;L.O. Hall;K.W. Bowyer;W.P. Kegelmeyer

  • Automatic segmentation of non-enhanced brain tumors in magnetic resonance images

    Lynn Marie Fletcher-Heath;Lawrence O. Hall

Frequent Co-Authors

Dmitry B. Goldgof
Dmitry B. Goldgof University of South Florida
Kevin W. Bowyer
Kevin W. Bowyer University of Notre Dame
Laurence P. Clarke
Laurence P. Clarke University of South Florida
Nitesh V. Chawla
Nitesh V. Chawla University of Notre Dame
James C. Bezdek
James C. Bezdek University of Melbourne
Abraham Kandel
Abraham Kandel University of South Florida
Diane J. Cook
Diane J. Cook Washington State University
Rangachar Kasturi
Rangachar Kasturi University of South Florida
Frank E. Muller-Karger
Frank E. Muller-Karger University of South Florida
Robin R. Murphy
Robin R. Murphy Texas A&M University

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