Personalized synthetic MR imaging with deep learning enhancements
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29527
Abstract: Personalized synthetic MRI (syn‐MRI) uses MR images of an individual subject acquired at a few design parameters (echo time, repetition time, flip angle) to obtain underlying parametric (ρ,T1,T2)$$ \left(\rho, {\mathrm{T}}_1,{\mathrm{T}}_2\right) $$ maps, from where MR… read more here.
Keywords: medicine; imaging deep; deep learning; personalized synthetic ... See more keywords
Imaging the Deep Crustal Structure of Central Oklahoma Using Stacking and Inversion of Local Earthquake Waveforms
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Geophysical Research"
DOI: 10.1029/2020jb021368
Abstract: The southern Granite-Rhyolite province contains a comprehensive record of lithospheric evolution in North America. During the last decade, increased seismicity along with improved seismic monitorin... read more here.
Keywords: imaging deep; central oklahoma; deep crustal; structure central ... See more keywords
Computational ghost imaging with deep compressed sensing
Sign Up to like & getrecommendations! Published in 2021 at "Chinese Physics B"
DOI: 10.1088/1674-1056/ac0042
Abstract: Computational ghost imaging (CGI) provides an elegant framework for indirect imaging, but its application has been restricted by low imaging performance. Herein, we propose a novel approach that significantly improves the imaging performance of CGI.… read more here.
Keywords: deep compressed; computational ghost; ghost imaging; compressed sensing ... See more keywords
Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2018.2828303
Abstract: The mathematical problem for electrical impedance tomography (EIT) is a highly nonlinear ill-posed inverse problem requiring carefully designed reconstruction procedures to ensure reliable image generation. D-bar methods are based on a rigorous mathematical analysis and… read more here.
Keywords: imaging deep; neural networks; electrical impedance; impedance tomography ... See more keywords
Randomized probe imaging through deep k-learning.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.445498
Abstract: Randomized probe imaging (RPI) is a single-frame diffractive imaging method that uses highly randomized light to reconstruct the spatial features of a scattering object. The reconstruction process, known as phase retrieval, aims to recover a… read more here.
Keywords: probe imaging; randomized probe; learning; imaging deep ... See more keywords