Abstract Vision Transformers (ViT) s have shown great performance in self-supervised
learning of global and local representations that can be transferred to downstream …

Digital pre-processing is a vital stage in the processing of the information contained in
multilayer computed tomography images. The purpose of digital pre-processing is the …

Abstract Field-of-view (FOV) tissue truncation beyond the lungs is common in routine lung
screening computed tomography (CT). This poses limitations for opportunistic CT-based …

Abstract 2D low-dose single-slice abdominal computed tomography (CT) slice enables
direct measurements of body composition, which are critical to quantitatively characterizing …

In the rapidly evolving field of medical imaging, machine learning algorithms have become
indispensable for enhancing diagnostic accuracy. However, the effectiveness of these …

Background Develo** a deep‐learning network for denoising low‐dose CT (LDCT)
images necessitates paired computed tomography (CT) images acquired at different dose …

Purpose Two-dimensional single-slice abdominal computed tomography (CT) provides a
detailed tissue map with high resolution allowing quantitative characterization of …

The Human BioMolecular Atlas Program (HuBMAP) provides an opportunity to contextualize
findings across cellular to organ systems levels. Constructing an atlas target is the primary …

With the substantial diversity in population demographics, such as differences in age and
body composition, the volumetric morphology of pancreas varies greatly, resulting in …

Volumetric quantification of medical images plays a crucial role in the development,
discovery, and assessment of anatomical mechanisms. Modern machine learning …