Platshållare för saknad bild till Darren Treanor

Darren Treanor

Adjungerad professor

Presentation

Profil
Praktiserande NHS-patolog (Leeds) som arbetar med lever- och gastrointestinal patologi
Dubbelkvalificerad inom medicin och dator

Forskningsintressen
Digital patologi
Bildanalys
Människa-datorinteraktion
Patologi
Leversjukdom

Publikationer

Senaste publikationer i DiVA

2026

Charlotte Jennings, Andrew Broad, Lucy Godson, Emily Clarke, David Westhead, Darren Treanor (2026) AI in Cancer Prognosis: A Systematic Review of Multimodal Models Combining Pathology Images and High-Throughput Omics Cancer Informatics, Vol. 25, Artikel 11769351261434523 (Artikel i tidskrift) https://dx.doi.org/10.1177/11769351261434523
Hayley Pye, David S. Brettle, Danny Kaye, Catriona M. Dunn, Matthew P. Humphries, Darren Treanor (2026) A look at scanner introduced variation in contrast, resolution, and colour across nine different models of whole slide imaging (WSI) scanner Journal of Histotechnology (Artikel i tidskrift) https://dx.doi.org/10.1080/01478885.2026.2643973
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, Artikel e70075 (Artikel i tidskrift) https://dx.doi.org/10.1002/2056-4538.70075

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, Artikel 100456 (Artikel i tidskrift) https://dx.doi.org/10.1016/j.jpi.2025.100456
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, Artikel 110049 (Artikel i tidskrift) https://dx.doi.org/10.1016/j.compbiomed.2025.110049

Organisation