Search Results for author: Steven K. Boyd

Found 6 papers, 0 papers with code

Bone Adaptation as a Geometric Flow

no code implementations9 Nov 2021 Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert, Steven K. Boyd

Interestingly, the parameters of the model can be defined in such a way that the flow is volume-preserving.

Constructing High-Order Signed Distance Maps from Computed Tomography Data with Application to Bone Morphometry

no code implementations2 Nov 2021 Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert, Steven K. Boyd

The narrowband is solved using a closest point algorithm extended for implicit embeddings that are not a signed distance field.

Quantization

High-Order Signed Distance Transform of Sampled Signals

no code implementations26 Oct 2021 Bryce A. Besler, Tannis D. Kemp, Nils D. Forkert, Steven K. Boyd

Such a transform is an improvement to the classic notion of an exact signed distance transform because it does not exhibit artifacts of quantization.

Quantization Unity +1

Local Morphometry of Closed, Implicit Surfaces

no code implementations29 Jul 2021 Bryce A Besler, Tannis D. Kemp, Andrew S. Michalski, Nils D. Forkert, Steven K. Boyd

The proposed method enables an improved local and global evaluation of curvature for purposes of morphometry on closed, implicit surfaces.

Hippocampus Quantization

Robust Self-Supervised Learning of Deterministic Errors in Single-Plane (Monoplanar) and Dual-Plane (Biplanar) X-ray Fluoroscopy

no code implementations3 Jan 2020 Jacky C. K. Chow, Steven K. Boyd, Derek D. Lichti, Janet L. Ronsky

It was found that using a smoothed kNN regression can automatically model the systematic errors in fluoroscopy with similar accuracy as a human expert using a small training dataset.

regression Self-Supervised Learning

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