With an increase in deep learning-based methods, the call for explainability of such methods
grows, especially in high-stakes decision making areas such as medical image analysis …

The remarkable success of deep learning has prompted interest in its application to medical
imaging diagnosis. Even though state-of-the-art deep learning models have achieved …

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" …

Recently, chest X-ray report generation, which aims to automatically generate descriptions
of given chest X-ray images, has received growing research interests. The key challenge of …

Automatically understanding the content of medical images and delivering accurate
descriptions is an emerging field of artificial intelligence that combines skills in both …

Automated radiographic report generation is challenging in at least two aspects. First,
medical images are very similar to each other and the visual differences of clinic importance …

Automated radiographic report generation is a challenging task since it requires to generate
paragraphs describing fine-grained visual differences of cases, especially for those between …

Abstract Large Language Models (LLMs) have consistently showcased remarkable
generalization capa-bilities when applied to various language tasks. Nonetheless …

Image captioning, also called report generation in medical field, aims to describe visual
content of images in human language, which requires to model semantic relationship …

Every year physicians face an increasing demand of image-based diagnosis from patients, a
problem that can be addressed with recent artificial intelligence methods. In this context, we …