82 citations · 131 across the 5 of their papers we have counts for
5 papers
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection
Anshuman Dewangan, Yash Pande, Hans-Werner Braun +5
The size and frequency of wildland fires in the western United States have dramatically increased in recent years. On high-fire-risk days, a small fire ignition can rapidly grow an…
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning
Bosung Seo, Daniel Mariano, John Beckfield +6
The goal of this project is to use magnetic resonance imaging (MRI) data to provide an end-to-end analytics pipeline for left and right ventricle (LV and RV) segmentation. Another…
Ten Simple Rules for Reproducible Research in Jupyter Notebooks
Adam Rule, Amanda Birmingham, Cristal Zuniga +8
Reproducibility of computational studies is a hallmark of scientific methodology. It enables researchers to build with confidence on the methods and findings of others, reuse and e…
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning
Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy +4
In the United States, heart disease is the leading cause of death for both men and women, accounting for 610,000 deaths each year [1]. Physicians use Magnetic Resonance Imaging (MR…
Modular Resource Centric Learning for Workflow Performance Prediction
Alok Singh, Mai Nguyen, Shweta Purawat +2
Workflows provide an expressive programming model for fine-grained control of large-scale applications in distributed computing environments. Accurate estimates of complex workflow…