Biomedical image classification is crucial for both computer vision tasks and clinical care.
The conventional method requires a significant amount of time and effort for extracting and …

In the medical field, datasets are mostly integrated across sites due to difficult data
acquisition and insufficient data at a single site. The domain shift problem caused by the …

We sought to accelerate 2D/3D image registration computation time using image synthesis
with a deep neural network (DNN) to generate digitally reconstructed radiographic (DRR) …

Artificial intelligence (AI) algorithms, particularly deep learning, are automatic and
sophisticated methods that recognize complex patterns in imaging data providing high …

The NCTS Topical Program Scientific computing is an interdisciplinary field that involves
mathematical theories, computational algorithms, and domain knowledge. While pursuing …

Objectives In the field of medical and dental image analysis, the development of advanced
deep learning architectures for precise classification tasks has become essential. The …