The task of radiology reporting comprises describing and interpreting th...
Deep learning models often need sufficient supervision (i.e. labelled da...
Pathological brain lesions exhibit diverse appearance in brain images, i...
Discovering causal relations from observational data becomes possible wi...
Learning disentangled representations requires either supervision or the...
Reducing the requirement for densely annotated masks in medical image
se...
Training medical image segmentation models usually requires a large amou...
When a clinician refers a patient for an imaging exam, they include the
...
Disentangled representation learning has been proposed as an approach to...
Leakage of data from publicly available Machine Learning (ML) models is ...
We consider the problem of integrating non-imaging information into
segm...
Training medical image analysis models requires large amounts of expertl...
Deep learning shows great potential for the domain of digital pathology....
Statements on social media can be analysed to identify individuals who a...
We present an efficient neural network approach for locating anatomical
...