James McCouat

James McCouat

Doctoral Student

Student, St Hugh's College

E: james.mccouat@st-hughs.ox.ac.uk

Themes:

• Artificial Intelligence and Machine Learning
• Computational Biology and Health Informatics

Biography

I work on using deep learning to extract clinically useful information from medical images. I am jointly supervised by Irina Voiculescu in Computer Science and Sion Glyn-Jones in NDORMS, a department I am also affiliated with. My current project trains on a dataset of hip x-rays but I am interested in obtaining datasets containing other image modalities and body parts.

My specific areas of research are:

• Anatomical landmark detection from medical images, which is the process of automatically spotting points which are inherently clinically useful, in an image. For example, we can diagnose a hip impingement if we can spot the furthest point laterally of the acetabulum socket and see that it extends too far over the femur head.
• Repurposing pre-existing landmark detection networks that were created for the human pose detection challenge, such as stacked hourglass and high-resolution deep network, to the problem of finding anatomical landmarks.
• How problems in medicine can be encoded into a method which uses anatomical landmarks. For example, how do we spot a bump in the femur head by detecting point landmarks? We would like to do this so we can use landmark detection algorithms which have shown good results.
• Creating new measures for doctors to assess a patient. For example, the current alpha-angle measure of the hip does not capture small bumps in the femur head accurately, can we produce a new measure which does? And can it be calculated by computer automatically

Selected Publications

View AllManage publications

• Screening Infant Hips: DDH Diagnosis Via Deep Learning

  Andrew Stamper‚ Abhinav Singh‚ James McCouat and Irina Voiculescu

  In International Symposium on Biomedical Imaging (ISBI). April, 2023.

  Details about Screening Infant Hips: DDH Diagnosis Via Deep Learning | BibTeX data for Screening Infant Hips: DDH Diagnosis Via Deep Learning | Link to Screening Infant Hips: DDH Diagnosis Via Deep Learning

• Automatic identification of clinical landmarks and calculation of Graf angles in 2D DDH screening ultrasound images: a pilot study

  Abhinav Singh‚ James McCouat‚ Irina Voiculescu‚ Daniel Perry and Sandeep Hemmadi

  British Orthopaedic Association (BOA) Congress. September, 2022.

  Details about Automatic identification of clinical landmarks and calculation of Graf angles in 2D DDH screening ultrasound images: a pilot study | BibTeX data for Automatic identification of clinical landmarks and calculation of Graf angles in 2D DDH screening ultrasound images: a pilot study

• Fast and Accurate Automatic Measurements of the Hip from X−rays using AI

  James McCouat‚ Irina Voiculescu and Sion Glyn−Jones

  AI in Orthopaedics‚ Orthopaedic Research UK (ORUK). September, 2022.

  Details about Fast and Accurate Automatic Measurements of the Hip from X−rays using AI | BibTeX data for Fast and Accurate Automatic Measurements of the Hip from X−rays using AI | Link to Fast and Accurate Automatic Measurements of the Hip from X−rays using AI

Supervisor