James Fishbaugh
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View article: Geodesic-based Predictive Shape Modeling of the Right Ventricle in Patients with Hypoplastic Left Heart Syndrome
Geodesic-based Predictive Shape Modeling of the Right Ventricle in Patients with Hypoplastic Left Heart Syndrome Open
Hypoplastic left heart syndrome (HLHS) is characterized by severe underdevelopment of left ventricle requiring staged surgical reconstruction (stages) to allow the right ventricle (RV) alone to support the circulation. In this setting chan…
View article: Self-supervised Denoising via Diffeomorphic Template Estimation:\n Application to Optical Coherence Tomography
Self-supervised Denoising via Diffeomorphic Template Estimation:\n Application to Optical Coherence Tomography Open
Optical Coherence Tomography (OCT) is pervasive in both the research and\nclinical practice of Ophthalmology. However, OCT images are strongly corrupted\nby noise, limiting their interpretation. Current OCT denoisers leverage\nassumptions …
View article: Model selection for spatiotemporal modeling of early childhood sub-cortical development
Model selection for spatiotemporal modeling of early childhood sub-cortical development Open
Spatiotemporal shape models capture the dynamics of shape change over time and are an essential tool for monitoring and measuring anatomical growth or degeneration. In this paper we evaluate non-parametric shape regression on the challengi…
View article: Rapid Radial T <sub>1</sub> and T <sub>2</sub> Mapping of the Hip Articular Cartilage With Magnetic Resonance Fingerprinting
Rapid Radial T <sub>1</sub> and T <sub>2</sub> Mapping of the Hip Articular Cartilage With Magnetic Resonance Fingerprinting Open
Background Quantitative MRI can detect early changes in cartilage biochemical components, but its routine clinical implementation is challenging. Purpose To introduce a novel technique to measure T 1 and T 2 along radial sections of the hi…
View article: 4D continuous medial representation by geodesic shape regression
4D continuous medial representation by geodesic shape regression Open
Longitudinal shape analysis has shown great potential to model anatomical processes from baseline to follow-up observations. Shape regression estimates a continuous trajectory of time-discrete anatomical shapes to quantify temporal changes…
View article: Estimating shape correspondence for populations of objects with complex topology
Estimating shape correspondence for populations of objects with complex topology Open
Statistical shape analysis captures the geometric properties of a given set of shapes, obtained from medical images, by means of statistical methods. Orthognathic surgery is a type of craniofacial surgery that is aimed at correcting severe…
View article: Subject-specific longitudinal shape analysis by coupling spatiotemporal shape modeling with medial analysis
Subject-specific longitudinal shape analysis by coupling spatiotemporal shape modeling with medial analysis Open
Modeling subject-specific shape change is one of the most important challenges in longitudinal shape analysis of disease progression. Whereas anatomical change over time can be a function of normal aging; anatomy can also be impacted by di…
View article: Bayesian covariate selection in mixed-effects models for longitudinal shape analysis
Bayesian covariate selection in mixed-effects models for longitudinal shape analysis Open
The goal of longitudinal shape analysis is to understand how anatomical shape changes over time, in response to biological processes, including growth, aging, or disease. In many imaging studies, it is also critical to understand how these…