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20182024
most citedDeep Learning Angiography (DLA): Three-dimensional C-arm Cone Beam CT Angiography Using Deep Learning

1 citations · 1 across the 3 of their papers we have counts for

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eess.IV2023

RetinexFlow for CT metal artifact reduction

Jiandong Su, Ce Wang, Yinsheng Li +2

Metal artifacts is a major challenge in computed tomography (CT) imaging, significantly degrading image quality and making accurate diagnosis difficult. However, previous methods e…

eess.IV2018★ 1 cited

Deep Learning Angiography (DLA): Three-dimensional C-arm Cone Beam CT Angiography Using Deep Learning

Juan C. Montoya, Yinsheng Li, Charles Strother +1

Background and Purpose: Our purpose was to develop a deep learning angiography (DLA) method to generate 3D cerebral angiograms from a single contrast-enhanced acquisition. Material…