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James H. F. Rudd

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on behalf of the AIX-COVNET collaboration

The curious case of the test set AUROC

Dec 19, 2023
Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb

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Recent Methodological Advances in Federated Learning for Healthcare

Oct 04, 2023
Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, BloodCounts! Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas Gleadall, Michael Roberts

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Reinterpreting survival analysis in the universal approximator age

Jul 25, 2023
Sören Dittmer, Michael Roberts, Jacobus Preller, AIX COVNET, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb

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Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data

Jun 15, 2023
Daniel Kreuter, Samuel Tull, Julian Gilbey, Jacobus Preller, BloodCounts! Consortium, John A. D. Aston, James H. F. Rudd, Suthesh Sivapalaratnam, Carola-Bibiane Schönlieb, Nicholas Gleadall, Michael Roberts

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Classification of datasets with imputed missing values: does imputation quality matter?

Jun 16, 2022
Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramon Vinas Torne, Evis Sala, Pietro Lio, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb

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Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review

Sep 01, 2020
Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb

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