Placeholder for missing image of Darren Treanor

Darren Treanor

Adjunct Professor

Visiting professor at LiU from Leeds Institute of Medical Research at St James's

Presentation

Profile
Practicing NHS pathologist working in liver and gastrointestinal pathology
Dual qualified in medicine and computing

Research interests
Digital pathology
Image analysis
Human computer interaction
Pathology
Liver disease

Publications

2026

Emily L. Clarke, Derek Magee, Julia Newton-bishop, Gerald Saldanha, William Merchant, Marlous Hall, Robert Insall, Nigel G. Maher, Richard A. Scolyer, Grace Farnworth, Anisah Ali, Mark Bamford, Eva Sticova, Petr Kujal, Sally O'shea, Darren Treanor (2026) AI-derived prognostic biomarkers from melanoma whole slide image segmentation: an initial discovery and assessment The journal of pathology. Clinical research, Vol. 12, Article e70075 (Article in journal) Continue to DOI

2025

C. McGenity, A. Cratchley, J. Aldridge, C. Sayers, W. S. Campbell, R. C. Dash, A. M. Flanagan, N. Sebire, A. Wright, W. Akhtar, Darren Treanor (2025) Development of a national pathology training system using digital pathology and SNOMED-CT Journal of Pathology Informatics, Vol. 18, Article 100456 (Article in journal) Continue to DOI
M. Farzi, C. McGenity, A. Cratchley, L. Leplat, P. Bankhead, A. Wright, Darren Treanor (2025) Liver-Quant: Feature-based image analysis toolkit for automatic quantification of metabolic dysfunction-associated steatotic liver disease Computers in Biology and Medicine, Vol. 190, Article 110049 (Article in journal) Continue to DOI
Catriona Dunn, David Brettle, Chantell Hodgson, Robert Hughes, Darren Treanor (2025) An international study of stain variability in histopathology using qualitative and quantitative analysis Journal of Pathology Informatics, Vol. 17, Article 100423 (Article in journal) Continue to DOI
Emily L. Clarke, Derek Magee, Julia Newton-Bishop, William Merchant, Robert Insall, Nigel G. Maher, Richard A. Scolyer, Grace Farnworth, Anisah Ali, Sally O'Shea, Darren Treanor (2025) The Development and Evaluation of a Convolutional Neural Network for Cutaneous Melanoma Detection in Whole Slide Images Archives of Pathology & Laboratory Medicine, Vol. 149, p. 831-837 (Article in journal) Continue to DOI