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most cited2.5D Deep Learning for CT Image Reconstruction using a Multi-GPU implementation

6 citations · 11 across the 6 of their papers we have counts for

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eess.IV2018★ 6 cited

2.5D Deep Learning for CT Image Reconstruction using a Multi-GPU implementation

Amirkoushyar Ziabari, Dong Hye Ye, Somesh Srivastava +3

While Model Based Iterative Reconstruction (MBIR) of CT scans has been shown to have better image quality than Filtered Back Projection (FBP), its use has been limited by its high…

eess.IV2018★ 4 cited

Model Based Iterative Reconstruction With Spatially Adaptive Sinogram Weights for Wide-Cone Cardiac CT

Amirkoushyar Ziabari, Dong Hye Ye, Lin Fu +4

With the recent introduction of CT scanners with large cone angles, wide coverage detectors now provide a desirable scanning platform for cardiac CT that allows whole heart imaging…