Search Results for author: Anupama Goparaju

Found 3 papers, 0 papers with code

Benchmarking off-the-shelf statistical shape modeling tools in clinical applications

no code implementations7 Sep 2020 Anupama Goparaju, Alexandre Bone, Nan Hu, Heath B. Henninger, Andrew E. Anderson, Stanley Durrleman, Matthijs Jacxsens, Alan Morris, Ibolya Csecs, Nassir Marrouche, Shireen Y. Elhabian

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.

Benchmarking

On the Evaluation and Validation of Off-the-shelf Statistical Shape Modeling Tools: A Clinical Application

no code implementations3 Oct 2018 Anupama Goparaju, Ibolya Csecs, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Ross Whitaker, Shireen Elhabian

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 shapes.

Anatomy

Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation

no code implementations30 Sep 2018 Riddhish Bhalodia, Anupama Goparaju, Tim Sodergren, Alan Morris, Evgueni Kholmovski, Nassir Marrouche, Joshua Cates, Ross Whitaker, Shireen Elhabian

In this paper, we propose a machine learning approach that uses deep networks to estimate AF recurrence by predicting shape descriptors directly from MRI images, with NO image pre-processing involved.

Anatomy Atrial Fibrillation Recurrence Estimation +4

Cannot find the paper you are looking for? You can Submit a new open access paper.