Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …

Abstract Limited-Angle Computed Tomography (LACT) is a non-destructive 3D imaging
technique used in a variety of applications ranging from security to medicine. The limited …

Computed tomography (CT) is an effective med-ical imaging modality, widely used in the
field of clinical medicine for the diagnosis of various pathologies. Advances in Multidetector …

In this paper, we present Neural Adaptive Tomography (NeAT), the first adaptive,
hierarchical neural rendering pipeline for tomography. Through a combination of neural …

Intraoperative imaging techniques for reconstructing deformable tissues in vivo are pivotal
for advanced surgical systems. Existing methods either compromise on rendering quality or …

Sparse-view Computed Tomography (SVCT) has great potential for decreasing patient
radiation exposure dose during scanning. In this work, we propose a Self-supervised …

Each photo in an image burst can be considered a sample of a complex 3D scene: the
product of parallax diffuse and specular materials scene motion and illuminant variation …

Emerging neural reconstruction techniques based on tomography (eg, NeRF, NeAT, and
NeRP) have started showing unique capabilities in medical imaging. In this work, we …

Widefield microscopy is widely used for non-invasive imaging of biological structures at
subcellular resolution. When applied to a complex specimen, its image quality is degraded …

Intensity diffraction tomography (IDT) refers to a class of optical microscopy techniques for
imaging the three-dimensional refractive index (RI) distribution of a sample from a set of two …