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Cathal McCague
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 4
Top Topics
Ct Scans
Computer Aided Diagnosis
Deep Learning
Computer Tomography
Top Venues
CoRR
Nat. Mach. Intell.
Comput. Biol. Medicine
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Publications
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Thomas Buddenkotte
,
Lorena Escudero Sanchez
,
Mireia Crispin-Ortuzar
,
Ramona Woitek
,
Cathal McCague
,
James D. Brenton
,
Ozan Öktem
,
Evis Sala
,
Leonardo Rundo
Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.
Comput. Biol. Medicine
163 (2023)
Thomas Buddenkotte
,
Lorena Escudero Sanchez
,
Mireia Crispin-Ortuzar
,
Ramona Woitek
,
Cathal McCague
,
James D. Brenton
,
Ozan Öktem
,
Evis Sala
,
Leonardo Rundo
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation.
CoRR
(2022)
Michael Roberts
,
Derek Driggs
,
Matthew Thorpe
,
Julian D. Gilbey
,
Michael Yeung
,
Stephan Ursprung
,
Angelica I. Avilés-Rivero
,
Christian Etmann
,
Cathal McCague
,
Lucian Beer
,
Jonathan R. Weir-McCall
,
Zhongzhao Teng
,
Effrossyni Gkrania-Klotsas
,
James H. F. Rudd
,
Evis Sala
,
Carola-Bibiane Schönlieb
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans.
Nat. Mach. Intell.
3 (3) (2021)
Michael Roberts
,
Derek Driggs
,
Matthew Thorpe
,
Julian D. Gilbey
,
Michael Yeung
,
Stephan Ursprung
,
Angelica I. Avilés-Rivero
,
Christian Etmann
,
Cathal McCague
,
Lucian Beer
,
Jonathan R. Weir-McCall
,
Zhongzhao Teng
,
James H. F. Rudd
,
Evis Sala
,
Carola-Bibiane Schönlieb
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review.
CoRR
(2020)