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