World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9877
World Ranking
6783
National Ranking
411

Overview

David C. Hogg is affiliated with the University of Leeds in the United Kingdom. Their research spans multiple intersecting disciplines, primarily focusing on the fields of Computer Science and Medicine. Within these main fields, they have contributed extensively to Artificial Intelligence, Cardiology and Cardiovascular Medicine, and Computer Vision and Pattern Recognition, among other subfields.

Their research portfolio covers a range of topics, notably including:

  • Atrial Fibrillation Management and Outcomes
  • Adversarial Robustness in Machine Learning
  • Speech and Dialogue Systems
  • Semantic Web and Ontologies
  • Acute Ischemic Stroke Management
  • Acute Myocardial Infarction Research
  • Stroke Rehabilitation and Recovery

David C. Hogg's publication record includes research articles in various journals and venues. Some recent publications are:

  • Prediction of short-term atrial fibrillation risk using primary care electronic health records, 2023, published in Heart
  • The TAS Test project: a prospective longitudinal validation of new online motor-cognitive tests to detect preclinical Alzheimer's disease and estimate 5-year risks of cognitive decline and dementia, 2022, BMC Neurology
  • Moving towards intelligent telemedicine: Computer vision measurement of human movement, 2022, Computers in Biology and Medicine
  • Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence, 2021, BMJ Open
  • Mapping Antarctic crevasses and their evolution with deep learning applied to satellite radar imagery, 2023, The Cryosphere

The scientist collaborates frequently with several co-authors, including Ramesh Nadarajah, Jianhua Wu, Chris P Gale, Andrew J. Bulpitt, and Yoko M. Nakao. Their work is often published in venues such as arXiv (Cornell University), Heart, The Cryosphere, Open Heart, and BMC Neurology.

David C. Hogg's interdisciplinary work leverages artificial intelligence and computer vision techniques in medical applications, contributing to advancements in prediction models, telemedicine, and disease monitoring.

Best Publications

  • Model-based vision: a program to see a walking person

    David C. Hogg

  • Learning the distribution of object trajectories for event recognition

    Neil Johnson;David Hogg

  • British Machine Vision Conference (BMVC)

    Dima Damen;David Hogg

  • Learning flexible models from image sequences

    Adam Baumberg;David Hogg

  • Towards 3D hand tracking using a deformable model

    T. Heap;D. Hogg

  • An efficient method for contour tracking using active shape models

    A.M. Baumberg;D.C. Hogg

  • Learning Variable-Length Markov Models of Behavior

    Aphrodite Galata;Neil Johnson;David Hogg

  • Computer Vision and Pattern Recognition (CVPR)

    Dima Damen;David Hogg

  • Detecting Carried Objects in Short Video Sequences

    Dima Damen;David Hogg

  • Automated reconstruction of 3D models from real environments

    V. Sequeira;K. Ng;E. Wolfart;J.G.M. Gonçalves

  • The STRANDS Project: Long-Term Autonomy in Everyday Environments

    Nick Hawes;Christopher Burbridge;Ferdian Jovan;Lars Kunze

  • Wormholes in shape space: tracking through discontinuous changes in shape

    T. Heap;D. Hogg

  • Deeper Networks for Pavement Crack Detection

    Leo Pauly;Harriet Peel;Shan Luo;David Hogg

  • Detecting inexplicable behaviour

    Hannah M. Dee;David C. Hogg

  • Constructing qualitative event models automatically from video input

    Jonathan H. Fernyhough;Anthony G. Cohn;David C. Hogg

  • An integrated traffic and pedestrian model-based vision system

    Paolo Remagnino;Adam Baumberg;T. Grove;David C. Hogg

  • Statistical Models of Object Interaction

    R. J. Morris;D. C. Hogg

  • Improving Specificity in PDMs using a Hierarchical Approach.

    Tony Heap;David C. Hogg

  • Personalizing Human Video Pose Estimation

    James Charles;Tomas Pfister;Derek Magee;David Hogg

  • The acquisition and use of interaction behaviour models

    N. Johnson;A. Galata;D. Hogg

  • Automated 3D reconstruction of interiors with multiple scan views

    Vitor Sequeira;Kia C. Ng;Erik Wolfart;Joao G. M. Goncalves

  • Recognizing linked events: Searching the space of feasible explanations

    Dima Damen;David Hogg

Frequent Co-Authors

Anthony G. Cohn
Anthony G. Cohn University of Leeds
Dima Damen
Dima Damen University of Bristol
Iain D. Gilchrist
Iain D. Gilchrist University of Bristol
David C. Mason
David C. Mason University of Reading
Andrew Zisserman
Andrew Zisserman University of Oxford
Tomas Pfister
Tomas Pfister Google (United States)
Paolo Remagnino
Paolo Remagnino Durham University
Patric Jensfelt
Patric Jensfelt Royal Institute of Technology
Tom Duckett
Tom Duckett University of Lincoln
David J. Young
David J. Young University of New South Wales

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education opens up a variety of pathways for Computer Science students in the USA. Many learners value flexibility and accessibility, making good online colleges an attractive option. These institutions provide quality coursework and recognized degrees that can help boost employability.

Beyond core computer science programs, students often specialize in related fields. For those interested in gaming and immersive tech, earning a game design online degree could be the ideal step for launching a creative career.

As cybersecurity continues to be in high demand, prospective students are now seeking a cyber security online degree cost that aligns with their budget, without sacrificing educational quality. Affordability and outcomes are key concerns in this growing field.

Additionally, those interested in the intersection of technology and project management might pursue the cheapest construction management degree online. This degree is suitable for those wanting to learn both computing and leadership skills in a booming industry.

Best Scientists Citing David C. Hogg

Trending Scientists

Recently Published Articles