most citedImproving Deformable Image Registration Accuracy through a Hybrid Similarity Metric and CycleGAN Based Auto-Segmentation

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

physics.med-ph2024★ 2 cited

Improving Deformable Image Registration Accuracy through a Hybrid Similarity Metric and CycleGAN Based Auto-Segmentation

Keyur D. Shah, James A. Shackleford, Nagarajan Kandasamy +1

Purpose: Deformable image registration (DIR) is critical in adaptive radiation therapy (ART) to account for anatomical changes. Conventional intensity-based DIR methods often fail…

math.NA2020★ 1 cited

A Generalized Framework for Analytic Regularization of Uniform Cubic B-spline Displacement Fields

Keyur D. Shah, James A. Shackleford, Nagarajan Kandasamy +1

Image registration is an inherently ill-posed problem that lacks the constraints needed for a unique mapping between voxels of the two images being registered. As such, one must re…