Results 21 to 30 of about 724,157 (279)
SIMBA: scalable inversion in optical tomography using deep denoising priors [PDF]
, 2019 Two features desired in a three-dimensional (3D) optical tomographic image reconstruction algorithm are the ability to reduce imaging artifacts and to do fast processing of large data volumes. Traditional iterative inversion algorithms are impractical in
Kamilov, Ulugbek +5 more
core +2 more sources
Engineering Proceedings, 2023 We consider the application of a recently developed hyperspectral broadband phase retrieval (HSPhR) technique for spectrally varying object and modulation phase masks at 100 spectral components.
Igor Shevkunov +2 more
doaj +1 more source
Deep Learning-Based 3D Measurements with Near-Infrared Fringe Projection
Sensors, 2022 Fringe projection profilometry (FPP) is widely applied to 3D measurements, owing to its advantages of high accuracy, non-contact, and full-field scanning.
Jinglei Wang +7 more
doaj +1 more source
Low Complexity Algorithm for Range-Point Migration-Based Human Body Imaging for Multistatic UWB Radars [PDF]
, 2019 High-resolution, short-range sensors that can be applied in optically challenging environments (e.g., in the presence of clouds, fog, and/or dark smog) are in high demand for various applications.
Shouhei Kidera, Yoshiki Akiyama
core +2 more sources
Insights into Imaging, 2020 Objectives To study the diffusion tensor-based fiber tracking feasibility to access the male urethral sphincter complex of patients with prostate cancer undergoing Retzius-sparing robot-assisted laparoscopic radical prostatectomy (RS-RARP).
Ana S. C. Verde +7 more
doaj +1 more source
Multilayer Cascade Screening Strategy for Semi-Supervised Change Detection in Hyperspectral Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Change detection (CD) is an important application of remote sensing, which provides information about land cover changes on the Earth's surface.
Lian Liu +3 more
doaj +1 more source
Predictive Behavior of a Computational Foot/Ankle Model through Artificial Neural Networks [PDF]
, 2017 Computational models are useful tools to study the biomechanics of human joints. Their predictive performance is heavily dependent on bony anatomy and soft tissue properties.
Chande, Ruchi D. +3 more
core +4 more sources
Journal of Cardiovascular Emergencies, 2017 Coronary artery disease represents a major cause of morbidity and mortality around the world. Unstable angina pectoris is a serious manifestation of ischemic heart disease and represents an acute condition caused by the narrowing of the coronary lumen as
Rodean Ioana +3 more
doaj +1 more source
Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study
APL Bioengineering, 2023 How prevalent is spontaneous thrombosis in a population containing all sizes of intracranial aneurysms? How can we calibrate computational models of thrombosis based on published data?
Qiongyao Liu +12 more
doaj +1 more source
Ghost imaging with the human eye [PDF]
, 2018 Computational ghost imaging relies on the decomposition of an image into patterns that are summed together with weights that measure the overlap of each pattern with the scene being imaged. These tasks rely on a computer.
Boccolini, Alessandro +2 more
core +3 more sources