126 citations · 272 across the 7 of their papers we have counts for
3 papers · 1 filter
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification
Tian Xia, Pedro Sanchez, Chen Qin +1
Due to the limited availability of medical data, deep learning approaches for medical image analysis tend to generalise poorly to unseen data. Augmenting data during training with…
Pseudo-healthy synthesis with pathology disentanglement and adversarial learning
Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
Pseudo-healthy synthesis is the task of creating a subject-specific `healthy' image from a pathological one. Such images can be helpful in tasks such as anomaly detection and under…
Learning to synthesise the ageing brain without longitudinal data
Tian Xia, Agisilaos Chartsias, Chengjia Wang +1
How will my face look when I get older? Or, for a more challenging question: How will my brain look when I get older? To answer this question one must devise (and learn from data)…