Stephen Lloyd-Brown
Scholar

Stephen Lloyd-Brown

Google Scholar ID: iVIydwEAAAAJ
University of Nottingham
Medical Image Segmentation
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Citations & Impact
All-time
Citations
2
 
H-index
1
 
i10-index
0
 
Publications
6
 
Co-authors
0
 
Contact
Emailppysl3@nottingham.ac.ukTwitterOpen ↗LinkedInOpen ↗
Publications
1 items
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation
2025
Cited
0
Resume
Academic Achievements
  • Publications can be found in the RIS Repository.
Research Experience
  • Developing novel approaches to medical image segmentation, with a particular focus on skin lesion and MR image segmentation.
Education
  • Integrated Masters: Medical Physics; PhD Student: Computer Science, focusing on medical image segmentation.
Background
  • Research Interests: Medical image segmentation, with a particular focus on skin lesion and MR image segmentation. Holds an integrated masters in medical physics and is currently working on a PhD in computer science, developing pipelines to reduce the annotation burden from training AI image segmentation systems.
Miscellany
  • LinkedIn Profile: https://www.linkedin.com/in/stephen-lloyd-brown