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Kristofer Linton‐Reid

A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: Development and validation of multivariable clinical prediction models
2022 · Sumeet Hindocha, Thomas G. Charlton, et al. · EBioMedicine · 62
A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules
2022 · Benjamin Hunter, Mitchell Chen, et al. · EBioMedicine · 47
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Tumor and local lymphoid tissue interaction determines prognosis in high-grade serous ovarian cancer
2023 · Haonan Lu, Hantao Lou, et al. · Cell Reports Medicine · 43
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A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease
2022 · Marianna Inglese, Neva Patel, et al. · Communications Medicine · 30
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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 · 27
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Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound
2024 · Jennifer F. Barcroft, Kristofer Linton-Reid, et al. · npj Precision Oncology · 23
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Radiomics for lung cancer diagnosis, management, and future prospects
2025 · M. Boubnovski Martell, K. Linton-Reid, et al. · Clinical Radiology · 20
Development of a multi-task learning V-Net for pulmonary lobar segmentation on CT and application to diseased lungs
2022 · M.M. Boubnovski, M. Chen, et al. · Clinical Radiology · 17
Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC
2022 · Sumeet Hindocha, Thomas G. Charlton, et al. · npj Precision Oncology · 15
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Evaluating use of two‐step International Ovarian Tumor Analysis strategy to classify adnexal masses identified in pregnancy: pilot study
2024 · J. Barcroft, M. Pandrich, et al. · Ultrasound in Obstetrics and Gynecology · 14
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Validated machine learning tools to distinguish immune checkpoint inhibitor, radiotherapy, COVID-19 and other infective pneumonitis
2024 · Sumeet Hindocha, Benjamin Hunter, et al. · Radiotherapy and Oncology · 13
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Deep representation learning of tissue metabolome and computed tomography annotates NSCLC classification and prognosis
2024 · Marc Boubnovski Martell, Kristofer Linton-Reid, et al. · npj Precision Oncology · 13
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Radiomics in clinical radiology: advances, challenges, and future directions
2025 · K. Linton-Reid, M. Chen, et al. · Clinical Radiology · 12
Translating radiomics into clinical practice: A step-by-step guide to study design and evaluation
2025 · M. Chen, K. Linton-Reid, et al. · Clinical Radiology · 12
Clinical utility of ultrasonography in pediatric and adolescent gynecology: retrospective review of 1313 ultrasound examinations
2025 · N. Cooper, H. Meehan, et al. · Ultrasound in Obstetrics and Gynecology · 12
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Magnetic resonance imaging and clinical features of Mayer–Rokitansky–Küster–Hauser syndrome: A 10‐year review from a dedicated specialist centre
2024 · Nina Cooper, Maya Al‐Memar, et al. · BJOG An International Journal of Obstetrics & Gynaecology · 10
Predicting outcomes of expectant and medical management in early pregnancy miscarriage using machine learning to develop and validate multivariable clinical prediction models
2025 · Sughashini Murugesu, Kristofer Linton-Reid, et al. · BMC Pregnancy and Childbirth · 9
Introduction: An Overview of AI in Oncology Drug Discovery and Development
2020 · Kristofer Linton-Reid · IntechOpen eBooks · 7
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Designing a computer-assisted diagnosis system for cardiomegaly detection and radiology report generation
2025 · Tianhao Zhu, Kexin Xu, et al. · PLOS Digital Health · 6
Artificial Intelligence in Gynaecology Oncology
2025 · S. Sawan, N. Eftekhari, et al. · BJOG An International Journal of Obstetrics & Gynaecology · 5
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The Use of Machine Learning Models and Radiomics for Segmentation and Classification of Adnexal Masses on Ultrasound: A Multi-Cohort Retrospective Study
2023 · Jennifer F Barcroft, Kristofer Linton-Reid, et al. · medRxiv · 4
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An explainable imaging-clinical biomarker for non-small cell lung cancer prognostication based on normalised hotspot to centroid distance and [18F]FDG PET/CT radiomics
2025 · Mitchell Chen, Susan J. Copley, et al. · European Journal of Nuclear Medicine and Molecular Imaging · 2
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End-to-End Integrative Segmentation and Radiomics Prognostic Models Improve Risk Stratification of High-Grade Serous Ovarian Cancer: A Retrospective Multi-Cohort Study
2023 · LANCET DIGITAL HEALTH, Kristofer Linton-Reid, et al. · medRxiv · 2
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Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs
2021 · Martell, Marc Boubnovski, Chen, Mitchell, et al. · arXiv (Cornell University) · 2
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Enhanced cancer subtyping via pan-transcriptomics data fusion, Monte-Carlo consensus clustering, and auto classifier creation
2019 · Kristofer Linton-Reid, Harry Clifford, et al. · 2
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Works count: 72
Citation count: 414
H-index: 12
I10-index: 16
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