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Rangaraj M. Rangayyan

Rangaraj M. Rangayyan

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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
64
Citations
17467
World Ranking
2587
National Ranking
97

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2016 - Fellow of the Royal Society of Canada Academy of Science
  • 2003 - SPIE Fellow
  • 2001 - IEEE Fellow For contributions to biomedical signal and image analysis.

Overview

Rangaraj M. Rangayyan is affiliated with the University of Calgary in Canada and conducts research primarily in the field of Medicine. Their work spans several subfields including Rheumatology, Orthopedics and Sports Medicine, Complementary and Alternative Medicine, Surgery, and Pulmonary and Respiratory Medicine.

The scientist's main research topics focus on Bone and Joint Diseases, Rheumatoid Arthritis Research and Therapies, Traditional Chinese Medicine Studies, Spondyloarthritis Studies and Treatments, Hip Disorders and Treatments, Sarcoma Diagnosis and Treatment, and Radiomics and Machine Learning in Medical Imaging.

Among their recent papers are:

  • Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging, 2020, Advances in Rheumatology
  • Manual and semiautomatic segmentation of bone sarcomas on MRI have high similarity, 2020, Brazilian Journal of Medical and Biological Research
  • Radiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthritis, 2022, Journal of Digital Imaging
  • Conference Glimses, 2022, 2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)
  • Preface, 2022, 2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)

Frequent co-authors in their body of work include:

  • Marcello Henrique Nogueira-Barbosa
  • Paulo Mazzoncini de Azevedo-Marques
  • Matheus Calil Faleiros
  • Vítor Faeda Dalto
  • José Raniery Ferreira

The scientist has published repeatedly in venues such as:

  • 2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)
  • Advances in Rheumatology
  • Journal of Digital Imaging
  • Brazilian Journal of Medical and Biological Research

Rangaraj M. Rangayyan has received several distinctions, including being named Fellow of the Royal Society of Canada in 2016 in the Academy of Science.

Additional recognitions include the SPIE Fellow award in 2003 and the IEEE Fellow award in 2001, the latter acknowledging contributions to biomedical signal and image analysis.

Best Publications

  • Biomedical Signal Analysis

    Rangaraj M. Rangayyan

  • Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances

    Jinshan Tang;R.M. Rangayyan;Jun Xu;I. El Naqa

  • Biomedical Signal Analysis: A Case-Study Approach

    Rangaraj M. Rangayyan

  • Biomedical image analysis

    Rangaraj M. Rangayyan

  • Region-based contrast enhancement of mammograms

    W.M. Morrow;R.B. Paranjape;R.M. Rangayyan;J.E.L. Desautels

  • A review of computer-aided diagnosis of breast cancer : Toward the detection of subtle signs

    Rangaraj M. Rangayyan;Fábio J. Ayres;J.E. Leo Desautels

  • Measures of acutance and shape for classification of breast tumors

    R.M. Rangayyan;N.M. El-Faramawy;J.E.L. Desautels;O.A. Alim

  • Application of shape analysis to mammographic calcifications

    Liang Shen;R.M. Rangayyan;J.E.L. Desautels

  • Gradient and texture analysis for the classification of mammographic masses

    N.R. Mudigonda;R. Rangayyan;J.E.L. Desautels

  • Detection of breast masses in mammograms by density slicing and texture flow-field analysis

    N.R. Mudigonda;R.M. Rangayyan;J.E. Leo Desautels

  • Feature enhancement of film mammograms using fixed and adaptive neighborhoods.

    Richard L. Gordon;Rangaraj M. Rangayyan

  • Phonocardiogram signal analysis: a review.

    R M Rangayyan;R J Lehner

  • Automatic identification of the pectoral muscle in mammograms

    R.J. Ferrari;R.M. Rangayyan;J.E.L. Desautels;R.A. Borges

  • Boundary modelling and shape analysis methods for classification of mammographic masses

    R. M. Rangayyan;N. R. Mudigonda;J. E. L. Desautels

  • Fractal Analysis of Contours of Breast Masses in Mammograms

    Rangaraj M. Rangayyan;Thanh M. Nguyen

  • Analysis of asymmetry in mammograms via directional filtering with Gabor wavelets

    R.J. Ferrari;R.M. Rangayyan;J.E.L. Desautels;A.F. Frere

  • Algorithms for limited-view computed tomography: an annotated bibliography and a challenge.

    Rangaraj Rangayyan;Atam Prakash Dhawan;Richard Gordon

  • Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology

    S. Krishnan;R.M. Rangayyan;G.D. Bell;C.B. Frank

  • DETECTION AND CLASSIFICATION OF MAMMOGRAPHIC CALCIFICATIONS

    Liang Shen;Rangaraj M. Rangayyan;J.E. Leo Desautels

  • Performance analysis of reversible image compression techniques for high-resolution digital teleradiology

    G.R. Kuduvalli;R.M. Rangayyan

Frequent Co-Authors

Jasjit S. Suri
Jasjit S. Suri University of Idaho
Sridhar Krishnan
Sridhar Krishnan Toronto Metropolitan University
U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Yuan-Ting Zhang
Yuan-Ting Zhang City University of Hong Kong
Asoke K. Nandi
Asoke K. Nandi Brunel University London
Eddie Y. K. Ng
Eddie Y. K. Ng Nanyang Technological University
S. Vinitha Sree
S. Vinitha Sree Nanyang Technological University
Subhasis Chaudhuri
Subhasis Chaudhuri Indian Institute of Technology Bombay
Robert M. Nishikawa
Robert M. Nishikawa University of Pittsburgh
Elise C. Fear
Elise C. Fear University of Calgary

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