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Cathal McCague
Cathal McCague
PhD student, University of Cambridge
Bestätigte E-Mail-Adresse bei cam.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
Nature Machine Intelligence 3 (3), 199-217, 2021
8472021
Radiomics and radiogenomics in ovarian cancer: a literature review
S Nougaret, C McCague, H Tibermacine, HA Vargas, S Rizzo, E Sala
Abdominal Radiology 46, 2308-2322, 2021
482021
Introduction to radiomics for a clinical audience
C McCague, S Ramlee, M Reinius, I Selby, D Hulse, P Piyatissa, V Bura, ...
Clinical Radiology 78 (2), 83-98, 2023
322023
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
arXiv preprint arXiv:2008.06388, 2020
232020
AIX-COVNET
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
Common pitfalls and recommendations for using machine learning to detect and …, 2021
182021
Clinically interpretable radiomics-based prediction of histopathologic response to neoadjuvant chemotherapy in high-grade serous ovarian carcinoma
L Rundo, L Beer, L Escudero Sanchez, M Crispin-Ortuzar, M Reinius, ...
Frontiers in oncology 12, 868265, 2022
172022
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation
T Buddenkotte, LE Sanchez, M Crispin-Ortuzar, R Woitek, C McCague, ...
Computers in Biology and Medicine 163, 107096, 2023
102023
Radioproteomics in patients with ovarian cancer
C McCague, L Beer
The British Journal of Radiology 94 (1125), 20201331, 2021
72021
Intracranial aneurysms: looking beyond size in neuroimaging: the role of anatomical factors and haemodynamics
DP Roi, JD Mueller, K Lobotesis, C McCague, S Memarian, F Khan, ...
Quantitative Imaging in Medicine and Surgery 9 (4), 537, 2019
62019
Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer
M Crispin-Ortuzar, R Woitek, MAV Reinius, E Moore, L Beer, V Bura, ...
Nature communications 14 (1), 6756, 2023
52023
Position statement on clinical evaluation of imaging AI
C McCague, K MacKay, C Welsh, A Constantinou, R Jena, ...
The Lancet Digital Health 5 (7), e400-e402, 2023
52023
Radiomic and volumetric measurements as clinical trial Endpoints—a comprehensive review
IG Funingana, P Piyatissa, M Reinius, C McCague, B Basu, E Sala
Cancers 14 (20), 5076, 2022
52022
Deep learning-based segmentation of multisite disease in ovarian cancer
T Buddenkotte, L Rundo, R Woitek, L Escudero Sanchez, L Beer, ...
European radiology experimental 7 (1), 77, 2023
42023
Integrating artificial intelligence tools in the clinical research setting: the ovarian cancer use case
L Escudero Sanchez, T Buddenkotte, M Al Sa’d, C McCague, J Darcy, ...
Diagnostics 13 (17), 2813, 2023
22023
Artificial intelligence for early detection of renal cancer in computed tomography: A review
WC McGough, LE Sanchez, C McCague, GD Stewart, CB Schönlieb, ...
Cambridge Prisms: Precision Medicine 1, e4, 2023
22023
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case
A Sa’d, J Darcy, P Browne, M Crispin-Ortuzar, CB Schönlieb, O Öktem, ...
MDPI, 2023
2023
Correction to Lancet Digit Health 2023; 5: e400–02
C McCague, K MacKay, C Welsh
2023
Lesion-specific 3D-printed moulds for image-guided tissue multi-sampling of ovarian tumours: A prospective pilot study
M Delgado-Ortet, MAV Reinius, C McCague, V Bura, R Woitek, L Rundo, ...
Frontiers in Oncology 13, 1085874, 2023
2023
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case. Diagnostics 2023, 13, 2813
L Escudero Sanchez, T Buddenkotte, M Al Sa’d, C McCague, J Darcy, ...
2023
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation
T Buddenkotte, LE Sanchez, M Crispin-Ortuzar, R Woitek, C McCague, ...
arXiv preprint arXiv:2209.09563, 2022
2022
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