SignON - a Co-creative Machine Translation for Sign and Spoken Languages (end-of-project results, contributions and lessons learned)
Fusion and integration pipelines for optical and chemical imaging data for clinical interpretation in ex vivo diagnosis
Preliminary evaluation of an automated autoencoder-UNet pipeline for chemical image segmentation and compression with reference to serial ground truth pathology
Using Shapley additive explanations saliency for interpretation of multiclass classification of PDX spectral data with deep neural networks
