Deep coded aperture design: An end-to-end approach for computational imaging tasks
Covering from photography to depth and spectral estimation, diverse computational imaging
(CI) applications benefit from the versatile modulation of coded apertures (CAs). The …
(CI) applications benefit from the versatile modulation of coded apertures (CAs). The …
Coded aperture optimization in compressive X-ray tomography: a gradient descent approach
Coded aperture X-ray computed tomography (CT) has the potential to revolutionize X-ray
tomography systems in medical imaging and air and rail transit security-both areas of global …
tomography systems in medical imaging and air and rail transit security-both areas of global …
Research into super-resolution in medical imaging from 2000 to 2023: bibliometric analysis and visualization
J He, H Ma, M Guo, J Wang, Z Wang… - Quantitative Imaging in …, 2024 - pmc.ncbi.nlm.nih.gov
Background Super-resolution (SR) refers to the use of hardware or software methods to
enhance the resolution of low-resolution (LR) images and produce high-resolution (HR) …
enhance the resolution of low-resolution (LR) images and produce high-resolution (HR) …
Cycloidal computed tomography
A general concept is presented for increasing the in-slice spatial resolution in computed
tomography in a flexible manner and with relatively large source focal spots and detector …
tomography in a flexible manner and with relatively large source focal spots and detector …
Bayesian 3D reconstruction of subsampled multispectral single-photon lidar signals
Light detection and ranging (Lidar) single-photon devices capture range and intensity
information from a three-dimensional (3-D) scene. This modality enables long range 3-D …
information from a three-dimensional (3-D) scene. This modality enables long range 3-D …
Phase recovery guarantees from designed coded diffraction patterns in optical imaging
Phase retrieval is an inverse problem that consists in estimating a scene from diffraction
intensities. This problem appears in optical imaging, which has three main diffraction zones …
intensities. This problem appears in optical imaging, which has three main diffraction zones …
Cycloidal CT with CNN-based sinogram completion and in-scan generation of training data
In x-ray computed tomography (CT), the achievable image resolution is typically limited by
several pre-fixed characteristics of the x-ray source and detector. Structuring the x-ray beam …
several pre-fixed characteristics of the x-ray source and detector. Structuring the x-ray beam …
Deep Unrolled Single Snapshot Phase Retrieval via Non-Convex Formulation and Phase Mask Design
Phase retrieval (PR) consists of recovering the phase information from captured intensity
measurements, known as coded diffraction patterns (CDPs). Non-convex algorithms for …
measurements, known as coded diffraction patterns (CDPs). Non-convex algorithms for …
Shifting colored coded aperture design for spectral imaging
Compressive spectral imaging (CSI) systems sense 3D spatio-spectral data cubes with just
a few two-dimensional (2D) projections by using a coded aperture, a dispersive element …
a few two-dimensional (2D) projections by using a coded aperture, a dispersive element …
Transfer learning with convolutional neural network for gastrointestinal diseases detection using endoscopic images
Automated and accurate classification of pathologies on endoscopic images is a current
challenge for Gastroenterology. This paper presents an approach to assist medical …
challenge for Gastroenterology. This paper presents an approach to assist medical …