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Darren Treanor

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

2024

Clare Mcgenity, Emily L. Clarke, Charlotte Jennings, Gillian Matthews, Caroline Cartlidge, Henschel Freduah-Agyemang, Deborah D. Stocken, Darren Treanor (2024) Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy npj Digital Medicine, Vol. 7, Article 114 Continue to DOI
Lucy Godson, Navid Alemi, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya, Derek Magee (2024) Immune subtyping of melanoma whole slide images using multiple instance learning Medical Image Analysis, Vol. 93, Article 103097 Continue to DOI
Catriona Dunn, David Brettle, Martin Cockroft, Elizabeth Keating, Craig Revie, Darren Treanor (2024) Quantitative assessment of H&E staining for pathology: development and clinical evaluation of a novel system Diagnostic Pathology, Vol. 19, Article 42 Continue to DOI

2023

Anmol Arora, Joseph E. Alderman, Joanne Palmer, Shaswath Ganapathi, Elinor Laws, Melissa D. Mccradden, Lauren Oakden-Rayner, Stephen R. Pfohl, Marzyeh Ghassemi, Francis Mckay, Darren Treanor, Negar Rostamzadeh, Bilal Mateen, Jacqui Gath, Adewole O. Adebajo, Stephanie Kuku, Rubeta Matin, Katherine Heller, Elizabeth Sapey, Neil J. Sebire, Heather Cole-Lewis, Melanie Calvert, Alastair Denniston, Xiaoxuan Liu (2023) The value of standards for health datasets in artificial intelligence-based applications Nature Medicine, Vol. 29, p. 2929-2938 Continue to DOI
Clare McGenity, Rebecca Randell, Christopher Bellamy, Alastair Burt, Alyn Cratchley, Robert Goldin, Stefan G. Hubscher, Desley A. H. Neil, Alberto Quaglia, Dina Tiniakos, Judy Wyatt, Darren Treanor (2023) Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence Journal of Clinical Pathology Continue to DOI

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