This work introduces a simple deep-learning based method to delineate
co...
This paper explores training medical vision-language models (VLMs) – whe...
This paper proposes a novel transformer-based model architecture for med...
This technical report presents SpineNetV2, an automated tool which: (i)
...
This paper explores the use of self-supervised deep learning in medical
...
Sharing data from clinical studies can facilitate innovative data-driven...
We propose a novel convolutional method for the detection and identifica...
A significant proportion of patients scanned in a clinical setting have
...