51 citations · 54 across the 20 of their papers we have counts for
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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…
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images
Riddhish Bhalodia, Shireen Y. Elhabian, Ladislav Kavan +1
Statistical shape modeling is an important tool to characterize variation in anatomical morphology. Typical shapes of interest are measured using 3D imaging and a subsequent pipeli…
Clustering With Pairwise Relationships: A Generative Approach
Yen-Yun Yu, Shireen Y. Elhabian, Ross T. Whitaker
Semi-supervised learning (SSL) has become important in current data analysis applications, where the amount of unlabeled data is growing exponentially and user input remains limite…