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Publications

Performance analysis of an artificial intelligence algorithm for detection and localisation of tracheal tube position by chest radiography.

Novak A. et al, (2025), Br J Anaesth

Review of Hyperpolarized Pulmonary Functional 129Xe MR for Long‐COVID

Wild JM. et al, (2024), Journal of Magnetic Resonance Imaging, 59

Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss.

Li J. et al, (2024), MIUA (2), 14860, 216 - 226

Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss.

Li J. et al, (2024), abs/2406.15172

Review of Hyperpolarized Pulmonary Functional 129 Xe MR for Long-COVID.

Wild JM. et al, (2023), J Magn Reson Imaging

Implementation of artificial intelligence in thoracic imaging-a what, how, and why guide from the European Society of Thoracic Imaging (ESTI).

Gleeson F. et al, (2023), Eur Radiol, 33, 5077 - 5086

Protocol for open-label randomized clinical trial of intensive surveillance versus standard postoperative follow-up in patients undergoing surgical resection for oesophageal and gastric cancer.

Markar SR. et al, (2023), Br J Surg

Gas exchange and ventilation imaging of healthy and COPD subjects using hyperpolarized xenon-129 MRI and a 3D alveolar gas-exchange model.

Doganay O. et al, (2023), Eur Radiol, 33, 3322 - 3331

Longitudinal Lung Function Assessment of Patients Hospitalized With COVID-19 Using 1H and 129Xe Lung MRI.

Saunders LC. et al, (2023), Chest

Residual Lung Abnormalities after COVID-19 Hospitalization: Interim Analysis of the UKILD Post-COVID-19 Study.

Stewart I. et al, (2023), Am J Respir Crit Care Med, 207, 693 - 703

Oxygen-enhanced MRI and radiotherapy in patients with oropharyngeal squamous cell carcinoma.

Bluemke E. et al, (2023), Clin Transl Radiat Oncol, 39

Diagnostic Accuracy of a Convolutional Neural Network Assessment of Solitary Pulmonary Nodules Compared With PET With CT Imaging and Dynamic Contrast-Enhanced CT Imaging Using Unenhanced and Contrast-Enhanced CT Imaging.

Weir-McCall JR. et al, (2023), Chest, 163, 444 - 454

Improving the Accuracy of Emergency Department Clinicians in Detecting SARS-COV-2 on Chest X-Rays Using a Bespoke Virtual Training Platform

Bahra J. et al, (2023)

Reduction in Chest CT Severity and Improved Hospital Outcomes in SARS-CoV-2 Omicron Compared with Delta Variant Infection.

Tsakok MT. et al, (2023), Radiology, 306, 261 - 269

Determination of the Pharmacokinetics and Pharmacodynamics of Isoniazid, Rifampicin, Pyrazinamide and Ethambutol in a Cross-Over Cynomolgus Macaque Model of Mycobacterium tuberculosis Infection.

Sibley L. et al, (2022), Pharmaceutics, 14

Comparative accuracy and cost-effectiveness of dynamic contrast-enhanced CT and positron emission tomography in the characterisation of solitary pulmonary nodules.

Gilbert FJ. et al, (2022), Thorax, 77, 988 - 996

Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19.

Kotanidis CP. et al, (2022), Lancet Digit Health, 4, e705 - e716

Utility of pre-treatment FDG PET/CT-derived machine learning models for outcome prediction in classical Hodgkin lymphoma.

Frood R. et al, (2022), Eur Radiol, 32, 7237 - 7247

Artificial Intelligence Tool for Assessment of Indeterminate Pulmonary Nodules Detected with CT.

Kim RY. et al, (2022), Radiology, 304, 683 - 691

Developing an understanding of artificial intelligence lung nodule risk prediction using insights from the Brock model.

Chetan MR. et al, (2022), Eur Radiol, 32, 5330 - 5338

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