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Engineering and Technology

D-Index
36
Citations
9750
World Ranking
8555
National Ranking
551

Overview

Stephen J. McKenna is affiliated with the University of Dundee in United Kingdom. Their research spans multiple disciplines primarily focused on medicine and biochemistry, genetics, and molecular biology.

The main fields of study in their work include:

  • Medicine
  • Biochemistry, Genetics and Molecular Biology

Within these broad fields, McKenna's subfields of focus are:

  • Oncology
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Genetics
  • Mechanical Engineering

Their research topics are diverse, covering areas such as:

  • Cutaneous Melanoma Detection and Management
  • CAR-T cell therapy research
  • Virus-based gene therapy research
  • CRISPR and Genetic Engineering
  • Infrastructure Maintenance and Monitoring
  • Power Line Inspection Robots
  • Digital Imaging for Blood Diseases

Several recent papers illustrate McKenna's research scope. These include:

  • Long-term safety of lentiviral or gammaretroviral gene-modified T cell therapies, 2025, Nature Medicine
  • Aerial Image Analysis Using Deep Learning for Electrical Overhead Line Network Asset Management, 2021, IEEE Access
  • Automated Classification for Visual-Only Postmortem Inspection of Porcine Pathology, 2020, IEEE Transactions on Automation Science and Engineering
  • Graph-Based Fusion of Imaging, Genetic and Clinical Data for Degenerative Disease Diagnosis, 2023, IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • Long-term stability of clinical-grade lentiviral vectors for cell therapy, 2024, Molecular Therapy - Methods & Clinical Development

Frequent coauthors collaborating with McKenna include:

  • Jacob Carse
  • Tamás Süveges
  • Gillian Chin
  • C.A. Morton
  • Charlotte M. Proby

Their body of work has appeared in multiple publication venues, with notable frequency in:

  • British Journal of Dermatology
  • Journal of Oral and Maxillofacial Surgery
  • Nature Medicine
  • IEEE Access
  • IEEE Transactions on Automation Science and Engineering

Best Publications

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Tracking Groups of People

    Stephen J. McKenna;Sumer Jabri;Zoran Duric;Azriel Rosenfeld

  • Root responses to soil physical conditions; growth dynamics from field to cell

    A. Glyn Bengough;M. Fraser Bransby;Joachim Hans;Stephen J. McKenna

  • Tracking colour objects using adaptive mixture models

    Stephen J. McKenna;Yogesh Raja;Shaogang Gong

  • Activity summarisation and fall detection in a supportive home environment

    H. Nait-Charif;S.J. McKenna

  • Combining embedded accelerometers with computer vision for recognizing food preparation activities

    Sebastian Stein;Stephen J. McKenna

  • Dynamic Vision: From Images to Face Recognition

    Shaogang Gong;Stephen J. McKenna;Alexandra Psarrou

  • MODELLING FACIAL COLOUR AND IDENTITY WITH GAUSSIAN MIXTURES

    Stephen J. Mckenna;Shaogang Gong;Yogesh Raja

  • Tracking and segmenting people in varying lighting conditions using colour

    Y. Raja;S.J. McKenna;Shaogang Gong

  • Colour Model Selection and Adaption in Dynamic Scenes

    Yogesh Raja;Stephen J. McKenna;Shaogang Gong

  • An investigation into face pose distributions

    S. Gong;S. McKenna;J.J. Collins

  • Segmentation and Tracking Using Color Mixture Models

    Yogesh Raja;Stephen J. McKenna;Shaogang Gong

  • Tracking interacting people

    S.J. McKenna;S. Jabri;Z. Duric;H. Wechsler

  • Tracking Facial Feature Points with Gabor Wavelets and Shape Models

    Stephen J. McKenna;Shaogang Gong;Rolf P. Würtz;Jonathan Tanner

  • Real-time face pose estimation

    S. J. McKenna;S. Gong

  • Object Tracking Using Adaptive Color Mixture Models

    Stephen J. McKenna;Yogesh Raja;Shaogang Gong

  • Tracking faces

    S. McKenna;S. Gong

  • Boundary-aware fully convolutional network for brain tumor segmentation

    Haocheng Shen;Ruixuan Wang;Jianguo Zhang;Stephen J. McKenna

  • An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens

    Siyamalan Manivannan;Wenqi Li;Shazia Akbar;Ruixuan Wang

  • Face recognition in dynamic scenes

    Stephen J. McKenna;Shaogang Gong;Yogesh Raja

  • AUDIO- AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION

    SJ McKenna;SG Gong;RP Wurtz;J Tanner

Frequent Co-Authors

Shaogang Gong
Shaogang Gong Queen Mary University of London
Jianguo Zhang
Jianguo Zhang Southern University of Science and Technology
Emanuele Trucco
Emanuele Trucco University of Dundee
Junwei Han
Junwei Han Northwestern Polytechnical University
Jesse Hoey
Jesse Hoey University of Waterloo
Nasir M. Rajpoot
Nasir M. Rajpoot University of Warwick
Tom Vercauteren
Tom Vercauteren King's College London
Arlindo L. Oliveira
Arlindo L. Oliveira University of Lisbon
John M. Lucocq
John M. Lucocq University of St Andrews
Ilias Kyriazakis
Ilias Kyriazakis Queen's University Belfast

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