Generative molecular design for drug discovery and development has seen a recent
resurgence promising to improve the efficiency of the design-make-test-analyse cycle; by …

Generative models such as generative adversarial networks and autoencoders have gained
a great deal of attention in the medical field due to their excellent data generation capability …

We describe CounterSynth, a conditional generative model of diffeomorphic deformations
that induce label-driven, biologically plausible changes in volumetric brain images. The …

In this paper, we propose a framework for synthesising 3D brain T1-weighted (T1-w) MRI
images from Partial Volume (PV) maps for the purpose of generating synthetic MRI volumes …

Causal mapping of the functional organisation of the human brain requires evidence of\textit
{necessity} available at adequate scale only from pathological lesions of natural origin. This …

We report for the first time the use of experimental electron density (ED) as training data for
the generation of drug-like three-dimensional molecules based on the structure of a target …

Clinical neuroimaging using magnetic resonance imaging (MRI) is crucial for diagnosis and
prognosis of most neurological pathologies including but not limited to brain cancers, stroke …