Editorial Board
The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future
Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design
A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images
Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping
Sleep stage classification for child patients using DeConvolutional Neural Network
Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography
Supervised classification of bradykinesia in Parkinson’s disease from smartphone videos