9 citations · 16 across the 3 of their papers we have counts for
3 papers
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods
Ramtin Babaeipour, Elham Azizi, Hassan Khotanlou
Spreading of COVID-19 virus has increased the efforts to provide testing kits. Not only the preparation of these kits had been hard, rare, and expensive but also using them is anot…
A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks
Cassandra Burdziak, Elham Azizi, Sandhya Prabhakaran +1
We present a Bayesian hierarchical multi-view mixture model termed Symphony that simultaneously learns clusters of cells representing cell types and their underlying gene regulator…
Learning modular structures from network data and node variables
Elham Azizi, James E. Galagan, Edoardo M. Airoldi
A standard technique for understanding underlying dependency structures among a set of variables posits a shared conditional probability distribution for the variables measured on…