no code implementations • 30 May 2022 • Laurent Chauvin, William Wells III, Matthew Toews
Augmenting local feature properties with sign in addition to standard (location, scale, orientation) geometry leads to descriptors that are invariant to coordinate reflections and intensity contrast inversion.
no code implementations • 8 Feb 2022 • Hao He, Fan Zhang, Steve Pieper, Nikos Makris, Yogesh Rathi, William Wells III, Lauren J. O'Donnell
The human brain's white matter (WM) structure is of immense interest to the scientific community.
no code implementations • 6 Jul 2021 • Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah Frisken, Jayender Jagadeesan, William Wells III, Xiu Li, Yefeng Zheng, Raymond Tong
Such convention has two limitations: (i) Besides the laborious grid search for the optimal fixed weight, the regularization strength of a specific image pair should be associated with the content of the images, thus the "one value fits all" training scheme is not ideal; (ii) Only spatially regularizing the transformation may neglect some informative clues related to the ill-posedness.
1 code implementation • 11 Mar 2021 • Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers, William Wells III, Matthew Toews
Our measure generalizes the Jaccard index to account for soft set equivalence (SSE) between keypoint elements, via an adaptive kernel framework modeling uncertainty in keypoint appearance and geometry.
no code implementations • 6 Jul 2020 • Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William Wells III, Jayender Jagadeesan
Deformable image registration between Computed Tomography (CT) images and Magnetic Resonance (MR) imaging is essential for many image-guided therapies.
no code implementations • 20 Mar 2020 • Jie Luo, Guangshen Ma, Sarah Frisken, Parikshit Juvekar, Nazim Haouchine, Zhe Xu, Yiming Xiao, Alexandra Golby, Patrick Codd, Masashi Sugiyama, William Wells III
In this study, we use the variogram to screen the manually annotated landmarks in two datasets used to benchmark registration in image-guided neurosurgeries.
no code implementations • 12 Jan 2017 • Demian Wassermann, Matt Toews, Marc Niethammer, William Wells III
The Bayesian posterior distribution over the deformations aligning a moving and a fixed image is approximated via a variational formulation.