Cone beam computed tomography (CBCT) has become an essential tool in modern
dentistry, allowing dentists to analyze the relationship between teeth and the surrounding …

The application of artificial intelligence (AI) in diagnostic imaging has gained significant
interest in recent years, particularly in lung cancer detection. This systematic review aims to …

Recent advances in computer vision have shown promising results in image generation.
Diffusion probabilistic models in particular have generated realistic images from textual …

The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a
wave of opportunities in computational healthcare. The interactive nature of these models …

Uncertainty quantification (UQ) is essential for creating trustworthy machine learning
models. Recent years have seen a steep rise in UQ methods that can flag suspicious …

We present DiffInfinite, a hierarchical diffusion model that generates arbitrarily large
histological images while preserving long-range correlation structural information. Our …

Globally, the incidence rate for breast cancer ranks first. Treatment for early-stage breast
cancer is highly cost effective. Five-year survival rate for stage 0–2 breast cancer exceeds …

Artificial intelligence (AI) methods applied to healthcare problems have shown enormous
potential to alleviate the burden of health services worldwide and to improve the accuracy …

The most competitive noisy label learning methods rely on an unsupervised classification of
clean and noisy samples, where samples classified as noisy are re-labelled and" …

Computed tomography (CT) is used in a wide range of medical imaging diagnoses.
However, the reconstruction of CT images from raw projection data is inherently complex …