Generative AI has made significant progress in recent years, with text-guided content
generation being the most practical as it facilitates interaction between human instructions …

While computer vision has achieved tremendous success with multimodal encoding and
direct textual interaction with images via chat-based large language models, similar …

Medical imaging plays a crucial role in diagnosis, with radiology reports serving as vital
documentation. Automating report generation has emerged as a critical need to alleviate the …

Panoramic X-rays are frequently used in dentistry for treatment planning, but their
interpretation can be both time-consuming and prone to error. Artificial intelligence (AI) has …

Generative latent diffusion models hold a wide range of applications in the medical imaging
domain. A noteworthy application is privacy-preserved open-data sharing by proposing …

Generating disease-aware cardiac cine magnetic resonance imaging (cine MRI) images has
immense potential in medical research, with recent advancements in text-driven image …

Chest X-rays or chest radiography (CXR), commonly used for medical diagnostics, typically
enables limited imaging compared to computed tomography (CT) scans, which offer more …

Deep diffusion models hold great promise for open data sharing while preserving patient
privacy by utilizing synthetic high quality data as surrogates for real patient data. Despite the …

The annotation burden and extensive labor for gathering a large medical dataset with
images and corresponding labels are rarely cost-effective and highly intimidating. This …