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Computer Science

D-Index
45
Citations
8798
World Ranking
7169
National Ranking
429

Research.com Recognitions

  • 2018 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2010 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to Image Understanding and Computer Vision and services to IAPR

Overview

Majid Mirmehdi is affiliated with the University of Bristol in the United Kingdom. Their research spans the fields of Computer Science and Medicine, contributing to a total of 100 publications across these areas.

The primary subfields of study in Mirmehdi's work include Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Biomedical Engineering, and Physiology. Their research topics focus mainly on Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, Parkinson's Disease Mechanisms and Treatments, Domain Adaptation and Few-Shot Learning, Video Surveillance and Tracking Methods, Cerebral Palsy and Movement Disorders, and Acute Ischemic Stroke Management.

Frequent publication venues for Mirmehdi's work include:

  • arXiv (Cornell University)
  • Sensors
  • Bristol Research (University of Bristol)
  • International Journal of Computer Vision
  • IEEE Reviews in Biomedical Engineering

Mirmehdi has collaborated regularly with several co-authors, including:

  • Tilo Burghardt
  • Alan Whone
  • Alessandro Masullo
  • Dima Damen
  • Toby Perrett

Among the recent papers authored or co-authored by Mirmehdi are:

  • "Automated Radiology Report Generation: A Review of Recent Advances" (2024) published in IEEE Reviews in Biomedical Engineering
  • "Protocol for PD SENSORS: Parkinson's Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson's disease" (2020) published in BMJ Open
  • "Multimodal Classification of Parkinson's Disease in Home Environments with Resiliency to Missing Modalities" (2021) published in Sensors
  • "Dynamic Curriculum Learning for Great Ape Detection in the Wild" (2023) published in International Journal of Computer Vision
  • "", (2020) published in Bristol Research (University of Bristol)

Mirmehdi's contributions to the academic community have been recognized by awards including the Distinguished Fellow of the British Machine Vision Association (BMVA) in 2018 and Fellow of the International Association for Pattern Recognition (IAPR) in 2010. The IAPR fellowship was awarded for contributions to Image Understanding and Computer Vision and services to the association.

Best Publications

  • Real-Time Detection and Recognition of Road Traffic Signs

    J. Greenhalgh;M. Mirmehdi

  • British Machine Vision Conference 2000

    Majid Mirmehdi

  • Automated identification of diabetic retinal exudates in digital colour images.

    A Osareh;M Mirmehdi;B Thomas;R Markham

  • Handbook of Texture Analysis

    Majid Mirmehdi;Xianghua Xie;Jasjit Suri

  • Segmentation of color textures

    M. Mirmehdi;M. Petrou

  • Bridging e-Health and the Internet of Things: The SPHERE Project

    Ni Zhu;Tom Diethe;Massimo Camplani;Lili Tao

  • MAC: Magnetostatic Active Contour Model

    Xianghua Xie;M. Mirmehdi

  • Comparison of colour spaces for optic disc localisation in retinal images

    A. Osareh;M. Mirmehdi;B. Thomas;R. Markham

  • Classification and Localisation of Diabetic-Related Eye Disease

    Alireza Osareh;Majid Mirmehdi;Barry T. Thomas;Richard Markham

  • Temporal-Relational CrossTransformers for Few-Shot Action Recognition

    Toby Perrett;Alessandro Masullo;Tilo Burghardt;Majid Mirmehdi

  • TEXEMS: Texture Exemplars for Defect Detection on Random Textured Surfaces

    Xie Xianghua;M. Mirmehdi

  • RAGS: region-aided geometric snake

    Xianghua Xie;M. Mirmehdi

  • Recognising text in real scenes

    Paul Clark;Majid Mirmehdi

  • Automatic Recognition of Exudative Maculopathy using Fuzzy C- Means Clustering and Neural Networks

    Alireza Osareh;Majid Mirmehdi;Barry Thomas;Richard Markham

  • Recognizing Text-Based Traffic Signs

    Jack Greenhalgh;Majid Mirmehdi

  • Detection and Tracking of Very Small Low Contrast Objects

    D. Davies;Phil L. Palmer;Majid Mirmehdi

  • Comparative Exudate Classification Using Support Vector Machines and Neural Networks

    Alireza Osareh;Majid Mirmehdi;Barry T. Thomas;Richard Markham

  • Proceedings of the 11th European Conference on Computer Vision (ECCV2010)

    Traver V. Javier;Majid Mirmehdi;Xie Xianghua;Montoliu Raul

  • What Happens Next? The Predictability of Natural Behaviour Viewed through CCTV Cameras:

    Tom Troscianko;Alison Holmes;Jennifer Stillman;Majid Mirmehdi

  • Ceramic tile inspection for colour and structural defects

    C. Boukouvalas;J. Kittler;R. Marik;M. Mirmehdi

  • Colour Morphology and Snakes for Optic Disc Localisation

    A Osareh;M Mirmehdi;B Thomas;R Markham

  • 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)

    Ben Crabbe;Adeline Paiement;Sion Hannuna;Majid Mirmehdi

Frequent Co-Authors

Dima Damen
Dima Damen University of Bristol
Josef Kittler
Josef Kittler University of Surrey
Maria Petrou
Maria Petrou Imperial College London
Ian J Craddock
Ian J Craddock University of Bristol
Chris Melhuish
Chris Melhuish University of the West of England
Robert J. Piechocki
Robert J. Piechocki University of Bristol
Alan Chalmers
Alan Chalmers University of Warwick
Peter A. Flach
Peter A. Flach University of Bristol
Tim Ellis
Tim Ellis Kingston University
Jeremy M. Tavaré
Jeremy M. Tavaré University of Bristol

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