2 citations · 2 across the 3 of their papers we have counts for
4 papers
From Reconstruction to Interpretation: Zero-Setup Multi-Phase Segmentation of X-ray Tomography Data
Pradyumna Elavarthi, Arun J. Bhattacharjee, Harrison Lisabeth +4
X-ray tomography enables nondestructive characterization of material microstructures, while advances in micro-CT imaging have accelerated volumetric data acquisition and reconstruc…
Using fractal dimension to predict the risk of intra cranial aneurysm rupture with machine learning
Pradyumna Elavarthi, Anca Ralescu, Mark D. Johnson +1
Intracranial aneurysms (IAs) that rupture result in significant morbidity and mortality. While traditional risk models such as the PHASES score are useful in clinical decision maki…
On the ability of CNNs to extract color invariant intensity based features for image classification
Pradyumna Elavarthi, James Lee, Anca Ralescu
Convolutional neural networks (CNNs) have demonstrated remarkable success in vision-related tasks. However, their susceptibility to failing when inputs deviate from the training di…
Semantic Segmentation of Porosity in 4D Spatio-Temporal X-ray μCT of Titanium Coated Ni wires using Deep Learning
Pradyumna Elavarthi, Arun Bhattacharjee, Ashley Paz y Puente +1
A fully convolutional neural network was used to measure the evolution of the volume fraction of two different Kirkendall pores during the homogenization of Ti coated Ni wires. Tra…