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Emily Guilhem

Accurate brain‐age models for routine clinical MRI examinations
2022 · David A. Wood, Sina Kafiabadi, et al. · NeuroImage · 134
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Deep learning to automate the labelling of head MRI datasets for computer vision applications
2021 · David A. Wood, Sina Kafiabadi, et al. · European Radiology · 60
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Deep learning models for triaging hospital head MRI examinations
2022 · David A. Wood, Sina Kafiabadi, et al. · Medical Image Analysis · 50
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Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
2020 · Wood, David A., Lynch, Jeremy, et al. · arXiv (Cornell University) · 44
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Optimising brain age estimation through transfer learning: A suite of pre‐trained foundation models for improved performance and generalisability in a clinical setting
2024 · David A. Wood, Matthew Townend, et al. · Human Brain Mapping · 35
Radiomics-based decision support tool assists radiologists in small lung nodule classification and improves lung cancer early diagnosis
2023 · Benjamin Hunter, Christos Argyros, et al. · British Journal of Cancer · 29
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Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI
2024 · Aaron Kujawa, Reuben Dorent, et al. · Frontiers in Computational Neuroscience · 28
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Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study
2020 · David A. Wood, Sina Kafiabadi, et al. · Lecture notes in computer science · 25
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A self-supervised text-vision framework for automated brain abnormality detection
2024 · Wood, David A., Guilhem, Emily, et al. · arXiv (Cornell University) · 10
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Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection
2023 · Matthew Benger, David A. Wood, et al. · Frontiers in Radiology · 9
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Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports
2025 · Siddharth Agarwal, David Wood, et al. · European Radiology · 7
Self-Supervised Text-Vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study)
2025 · David A. Wood, Emily Guilhem, et al. · Radiology Artificial Intelligence · 2
Automated Brain Abnormality Detection using a Self-Supervised Text-Vision Framework
2024 · David Wood, Emily Guilhem, et al. · 2
An Audit Into Advanced Care Planning for End of Life Care Patients at Kingston Hospital
2014 · Sophie Merrick, Emily Guilhem, et al. · BMJ Supportive & Palliative Care · 1
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Hospital-specific domain adaptation improves BERT-based models’ ability to classify neuroradiology reports
2025 · Siddharth Agarwal, David Wood, et al. · The Royal College of Radiologists Open
Automated Brain Abnormality Detection using a Self-Supervised Text-Vision Framework
2024 · David Wood, Emily Guilhem, et al.
A self-supervised framework for abnormality detection from brain MRI
2024 · David Wood, Emily Guilhem, et al.
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Automated triaging of head magnetic resonance imaging examinations using convolutional neural networks
2022 · David Wood, David A Wood, et al.
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[18F]Fluoromethylcholine PET/CT for CNS lymphoma assessment: a new tool
2021 · Kirsty Marshall, Bhupinder Sharma, et al. · F1000Research
U-turn in thyroid nodule management: the implications of using the U-score to guide fine needle aspiration cytology
2018 · Emily Guilhem, Tharsi Sarvananthan, et al. · Clinical Radiology
Clinical and pathological comparison of axillary staging in lobular breast cancer – are we missing clinically significant disease?
2018 · Tharsi Sarvananthan, Emily Guilhem, et al. · Clinical Radiology
The Variety and Quality of Mobile Device Applications in Neuroradiology
2017 · Emily Guilhem, Sara Sciacca, et al.
3D printing: Applications and How to Do It
2017 · Fayed Sheikh, Emily Guilhem, et al.
Intussusception reduction: which is the best way to do it?
2016 · Jeremy Oliver Lynch, Fayed Sheikh, et al. · Clinical Radiology
Segmenting words in two languages: ERP evidence from monolingual and bilingual infants
2011 · Debra L. Mills, Caroline Junge, et al. · Max Planck Digital Library
Works count: 27
Citation count: 436
H-index: 9
I10-index: 9
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