News
4/21/2020
We received a seed grant from the University of Utah's
3i Initiative
to develop an infectious respiratory disease outbreak early detection system using routine chest x-rays and machine learning
3/26/2020
Our NIH NIBIB R21 proposal
A scalable non-intrusive image annotation method using eye tracking for training deep learning models in radiology
was funded
1/27/2029
I presented our work on Neural Network Models for Neighborhood Effects Research
at
Applied Machine Learning Days
9/23/2019
Ricardo Lanfredi will be presenting our paper
Adversarial regression training for visualizing the progression of COPD with chest x-rays
at MICCAI 2019
9/4/2019
Mehran Javanmardi successfully defended his PhD dissertation