51 citations · 51 across the 4 of their papers we have counts for
5 papers
Statistical Shape Modeling of Biventricular Anatomy with Shared Boundaries
Krithika Iyer, Alan Morris, Brian Zenger +4
Statistical shape modeling (SSM) is a valuable and powerful tool to generate a detailed representation of complex anatomy that enables quantitative analysis and the comparison of s…
Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach
Jadie Adams, Nawazish Khan, Alan Morris +1
Clinical investigations of anatomy's structural changes over time could greatly benefit from population-level quantification of shape, or spatiotemporal statistic shape modeling (S…
Benchmarking off-the-shelf statistical shape modeling tools in clinical applications
Anupama Goparaju, Alexandre Bone, Nan Hu +8
Statistical shape modeling (SSM) is widely used in biology and medicine as a new generation of morphometric approaches for the quantitative analysis of anatomical shapes. Technolog…
On the Evaluation and Validation of Off-the-shelf Statistical Shape Modeling Tools: A Clinical Application
Anupama Goparaju, Ibolya Csecs, Alan Morris +4
Statistical shape modeling (SSM) has proven useful in many areas of biology and medicine as a new generation of morphometric approaches for the quantitative analysis of anatomical…
Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation
Riddhish Bhalodia, Anupama Goparaju, Tim Sodergren +6
Left atrium shape has been shown to be an independent predictor of recurrence after atrial fibrillation (AF) ablation. Shape-based representation is imperative to such an estimatio…