Dr. Faizyab Chaudhary was featured in an ReachMD podcast discussing our recent work on estimating small airways disease from a single inspiratory scan.

Faizyab Chaudhary and Hira Awan were first authors on a new paper in AJRCCM entitled "Deep Learning Estimation of Small Airways Disease from Inspiratory Chest CT: Clinical Validation, Repeatability, and Associations with Adverse Clinical Outcomes in COPD."

Diedre Carmo published a paper in Nature "Scientific Data" entitled "Manual segmentation of opacities and consolidations on CT of long COVID patients from multiple annotators"

Joshua Carrizales just published a paper in Medical Physics entitled "4DCT image artifact detection using deep learning." This paper describes his research on detecting artifacts in 4DCT images using a deep learning approach.

A project led by Dr. Diedre Carmo has just released a set of CT images of COVID-19 subjects, along with expert annotations of anomalous regions, for use in developing automatic segmentation algorithms.

Faizyab Chaudhary just published a paper in IEEE Transactions on Medical Imaging entitled "LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation". He developed a generative adversarial framework for estimating CT image intensities of expiratory CT images from the inspiratory CT images.

Zac Althof just published a paper in Scientific Reports entitled "Attention U-net for automated pulmonary fissure integrity analysis in lung computed tomography images". He has developed an automated system for assessing fissure integrity in lung CT images and has applied it to data from the SPIROMICS cohort.