Picture for James H. F. Rudd

James H. F. Rudd

on behalf of the AIX-COVNET collaboration

The curious case of the test set AUROC

Add code
Dec 19, 2023
Viaarxiv icon

Recent Methodological Advances in Federated Learning for Healthcare

Add code
Oct 04, 2023
Figure 1 for Recent Methodological Advances in Federated Learning for Healthcare
Figure 2 for Recent Methodological Advances in Federated Learning for Healthcare
Figure 3 for Recent Methodological Advances in Federated Learning for Healthcare
Figure 4 for Recent Methodological Advances in Federated Learning for Healthcare
Viaarxiv icon

Reinterpreting survival analysis in the universal approximator age

Add code
Jul 25, 2023
Figure 1 for Reinterpreting survival analysis in the universal approximator age
Figure 2 for Reinterpreting survival analysis in the universal approximator age
Figure 3 for Reinterpreting survival analysis in the universal approximator age
Figure 4 for Reinterpreting survival analysis in the universal approximator age
Viaarxiv icon

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

Add code
Jun 15, 2023
Figure 1 for Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
Figure 2 for Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
Figure 3 for Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
Figure 4 for Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data
Viaarxiv icon

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

Add code
Jun 16, 2022
Figure 1 for Classification of datasets with imputed missing values: does imputation quality matter?
Figure 2 for Classification of datasets with imputed missing values: does imputation quality matter?
Figure 3 for Classification of datasets with imputed missing values: does imputation quality matter?
Figure 4 for Classification of datasets with imputed missing values: does imputation quality matter?
Viaarxiv icon

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

Add code
Sep 01, 2020
Figure 1 for Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
Figure 2 for Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
Figure 3 for Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
Figure 4 for Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review
Viaarxiv icon