Publications by authors named "Katherine Hewitt"

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Application of artificial intelligence and digital tools in cancer pathology.
Lawrence A Shaktah, Zunamys I Carrero, Katherine Jane Hewitt, Marco Gustav, Matthew Cecchini

Lancet Digit Health· October 2025

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Counterfactual Diffusion Models for Interpretable Morphology-based Explanations of Artificial Intelligence Models in Pathology.
Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine J Hewitt, Nic G Reitsam

bioRxiv· July 2025

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From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology.
Omar S M El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Katherine J Hewitt

Nat Protoc· January 2025

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Authors' reply: Re: Koga et al. Retrieval-augmented generation versus document-grounded generation: a key distinction in large language models.
Katherine J Hewitt, Isabella C Wiest, Jakob N Kather

J Pathol Clin Res· January 2025

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Large language models as a diagnostic support tool in neuropathology.
Katherine J Hewitt, Isabella C Wiest, Zunamys I Carrero, Laura Bejan, Thomas O Millner

J Pathol Clin Res· November 2024

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Automated curation of large-scale cancer histopathology image datasets using deep learning.
Lars Hilgers, Narmin Ghaffari Laleh, Nicholas P West, Alice Westwood, Katherine J Hewitt

Histopathology· June 2024

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Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance.
Jan M Niehues, Gustav Müller-Franzes, Yoni Schirris, Sophia Janine Wagner, Michael Jendrusch, Katherine J Hewitt

Comput Biol Med· June 2024

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IAA-producing plant growth promoting rhizobacteria from enhance cutting propagation efficiency and Arabidopsis biomass.
Jyothsna Ganesh, Katherine Hewitt, Ananta Raj Devkota, Ty Wilson, Amita Kaundal

Front Plant Sci· May 2024

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Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4).
Daniel Truhn, Chiara Ml Loeffler, Gustav Müller-Franzes, Sven Nebelung, Katherine J Hewitt

J Pathol· March 2024

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Regression-based Deep-Learning predicts molecular biomarkers from pathology slides.
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys I Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt

Nat Commun· February 2024

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Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides.
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys I Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt

Nat Commun· February 2024

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Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study.
Mohsin Bilal, Yee Wah Tsang, Mahmoud Ali, Simon Graham, Emily Hero, Katherine Hewitt

Lancet Digit Health· November 2023

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Direct image to subtype prediction for brain tumors using deep learning.
Katherine J Hewitt, Chiara M L Löffler, Hannah Sophie Muti, Anna Sophie Berghoff, Christian Eisenlöffel

Neurooncol Adv· November 2023

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Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study.
Simon Graham, Fayyaz Minhas, Mohsin Bilal, Mahmoud Ali, Yee Wah Tsang, Katherine Hewitt

Gut· September 2023

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Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning.
Oliver Lester Saldanha, Hannah Sophie Muti, Heike I Grabsch, Rupert Langer, Bastian Dislich, Katherine Jane Hewitt

Gastric Cancer· March 2023

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Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology.
Oliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, Marko van Treeck, Tobias P Seraphin, Katherine Jane Hewitt

NPJ Precis Oncol· March 2023

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Exploration of the rhizosphere microbiome of native plant - an excellent resource of plant growth-promoting bacteria.
Jyothsna Ganesh, Vishal Singh, Katherine Hewitt, Amita Kaundal

Front Plant Sci· December 2022

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Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis.
Ayesha S Azam, Islam M Miligy, Peter K-U Kimani, Heeba Maqbool, Katherine Hewitt

J Clin Pathol· July 2021

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Psychotropic Polypharmacy Among Children and Youth with Autism: A Systematic Review.
Chantel Ritter, Katherine Hewitt, Carly A McMorris

J Child Adolesc Psychopharmacol· May 2021

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Evaluation of a high-throughput in vitro endothelial cell migration assay for the assessment of nicotine and tobacco delivery products.
Emma Bishop, Damien Breheny, Katherine Hewitt, Mark Taylor, Tomasz Jaunky

Toxicol Lett· November 2020

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Cellular community detection for tissue phenotyping in colorectal cancer histology images.
Sajid Javed, Arif Mahmood, Muhammad Moazam Fraz, Navid Alemi Koohbanani, Ksenija Benes, Katherine Hewitt

Med Image Anal· July 2020

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Deep Learning With Sampling in Colon Cancer Histology.
Mary Shapcott, Katherine J Hewitt, Nasir Rajpoot

Front Bioeng Biotechnol· March 2019

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Cigarette smoke extract counteracts atheroprotective effects of high laminar flow on endothelial function.
Sindy Giebe, Natalia Cockcroft, Katherine Hewitt, Melanie Brux, Anja Hofmann

Redox Biol· August 2017

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A novel hybrid tobacco product that delivers a tobacco flavour note with vapour aerosol (Part 2): In vitro biological assessment and comparison with different tobacco-heating products.
Damien Breheny, Jason Adamson, David Azzopardi, Andrew Baxter, Emma Bishop, Katherine Hewitt

Food Chem Toxicol· August 2017

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A comparative assessment of e-cigarette aerosols and cigarette smoke on in vitro endothelial cell migration.
Mark Taylor, Tomasz Jaunky, Katherine Hewitt, Damien Breheny, Frazer Lowe

Toxicol Lett· August 2017

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