With the massive proliferation of data-driven algorithms, such as deep learning-based
approaches, the availability of high-quality data is of great interest. Volumetric data is very …

Alzheimer's disease (AD) is a pressing global issue, demanding effective diagnostic
approaches. This systematic review surveys the recent literature (2018 onwards) to …

Data has become the most valuable resource in today's world. With the massive proliferation
of data-driven algorithms, such as deep learning-based approaches, the availability of data …

This paper investigates a 2D to 3D image translation method with a straightforward
technique enabling correlated 2D X-ray to 3D CT-like reconstruction. We observe that …

Deep generative modeling has emerged as a powerful tool for synthesizing realistic medical
images, driving advances in medical image analysis, disease diagnosis, and treatment …

Generative models such as generative adversarial networks and autoencoders have gained
a great deal of attention in the medical field due to their excellent data generation capability …

Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial
intelligence, particularly for unsupervised learning. This systematic review analyzes GAN …

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

Three-dimensional images are frequently used in medical imaging research for
classification, segmentation, and detection. However, the limited availability of 3D images …

Despite success in volume-to-volume translations in medical images, most existing models
struggle to effectively capture the inherent volumetric distribution using 3D representations …