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Liam J. Murray

Researcher at Queen's University Belfast

Publications -  319
Citations -  20308

Liam J. Murray is an academic researcher from Queen's University Belfast. The author has contributed to research in topics: Population & Cancer. The author has an hindex of 67, co-authored 319 publications receiving 16139 citations. Previous affiliations of Liam J. Murray include Nottingham University Hospitals NHS Trust & Queen's University.

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QuPath: Open source software for digital pathology image analysis

TL;DR: QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images, making it suitable for a wide range of additional image analysis applications across biomedical research.
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QuPath: Open source software for digital pathology image analysis

TL;DR: QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images, making it suitable for a wide range of additional image analysis applications across biomedical research.
Journal ArticleDOI

The prevalence of celiac disease in Europe: Results of a centralized, international mass screening project

TL;DR: Investigating whether the prevalence of CD significantly varies between different areas of the European continent finds large unexplained differences in adult age across different European countries.
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Risk of Malignant Progression in Barrett’s Esophagus Patients: Results from a Large Population-Based Study

TL;DR: The risk of malignant progression among patients with BE is found to be lower than previously reported, suggesting that currently recommended surveillance strategies may not be cost-effective.
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The Incidence of Esophageal Cancer and High-Grade Dysplasia in Barrett's Esophagus: A Systematic Review and Meta-Analysis

TL;DR: The pooled estimates of cancer and HGD incidence were low, suggesting that the cost-effectiveness of surveillance is questionable unless it can be targeted to those with the highest cancer risk.