The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Following unprecedented success on the natural language tasks, Transformers have been
successfully applied to several computer vision problems, achieving state-of-the-art results …

Automatic radiology reporting has great clinical potential to relieve radiologists from heavy
workloads and improve diagnosis interpretation. Recently, researchers have enhanced data …

The automatic generation of radiology reports has the potential to assist radiologists in the
time-consuming task of report writing. Existing methods generate the full report from image …

In clinical scenarios, multi-specialist consultation could significantly benefit the diagnosis,
especially for intricate cases. This inspires us to explore a" multi-expert joint diagnosis" …

Radiology report generation aims to automatically generate a clinically accurate and
coherent paragraph from the X-ray image, which could relieve radiologists from the heavy …

Contrastive learning based vision-language joint pre-training has emerged as a successful
representation learning strategy. In this paper, we present a prototype representation …

Radiology report generation (RRG) aims to describe automatically a radiology image with
human-like language and could potentially support the work of radiologists, reducing the …

Medical images are widely used in clinical decision-making, where writing radiology reports
is a potential application that can be enhanced by automatic solutions to alleviate …

In this paper, we propose a vision-language pre-training model, Clinical-BERT, for the
medical domain, and devise three domain-specific tasks: Clinical Diagnosis (CD), Masked …