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Found 4 papers, 1 papers with code
MIRT: a simultaneous reconstruction and affine motion compensation technique for four dimensional computed tomography (4DCT)
In four-dimensional computed tomography (4DCT), 3D images of moving or deforming samples are reconstructed from a set of 2D projection images.
Voxel-wise classification for porosity investigation of additive manufactured parts with 3D unsupervised and (deeply) supervised neural networks
The findings were cross-validated in a 5-fold fashion and include: a performance benchmark of the DL models, an evaluation of the post-processing algorithm, an evaluation of the effect of training supervised models with the output of unsupervised models.
DELTA-MRI: Direct deformation Estimation from LongiTudinally Acquired k-space data
Longitudinal MRI is an important diagnostic imaging tool for evaluating the effects of treatment and monitoring disease progression.
Deep Learning Based Computed Tomography Whys and Wherefores
This is an article about the Computed Tomography (CT) and how Deep Learning influences CT reconstruction pipeline, especially in low dose scenarios.
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