News

Dr. Faizyab Chaudhary headshot

Dr. Faizyab Chaudhary featured in ReachMD podcast

Monday, June 9, 2025
Dr. Faizyab Chaudhary was featured in an ReachMD podcast discussing our recent work on estimating small airways disease from a single inspiratory scan.
Lung CT images showing real and synthetic scans and estimates of PRM overlays

New paper in AJRCCM on deep learning estimation of small airways disease from inspiratory chest CTs

Tuesday, March 11, 2025
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."
lung CT image showing manual annotations of COVID lesions

New paper in Nature "Scientific Data" on annotated lung CT data sets for studying long COVID

Friday, March 7, 2025
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"
Figure showing a CT image with artifacts and artifacts detected by a deep learning approach

New paper in Medical Physics on "4DCT image artifact detection using deep learning"

Tuesday, December 10, 2024
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.
Cross-sectional CT images with annotated regions of abnormalities

New COVID CT dataset with expert annotations available

Thursday, July 11, 2024
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.
LungViT_Overview

Paper on cross volume computed tomography image synthesis published in IEEE Transactions on Medical Imaging

Wednesday, March 27, 2024
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.
Fissure integrity assessment pipeline

Paper on assessing lobar fissure integrity just published in Scientific Reports

Wednesday, August 30, 2023
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.
Role of lung lobar sliding on parenchymal distortion during breathing

Paper on the role of lung lobar sliding during breathing published in the Journal of Applied Physiology

Friday, August 11, 2023
Adam Galloy (from Dr. Raghvan's lab) just published a new paper on the role of sliding at the lobar fissure and its influence on lung mechanics and tissue distortion during breathing.
Image showing how to estimate Jacobian map from single and paired CT images

New paper on "Direct estimation of regional lung volume change from paired and single CT images using residual regression neural network"

Friday, March 17, 2023
A new paper showing how to estimate local lung volume change (in the form of Jacobian determinant maps) from single and paired CT images has been published in Medical Physics.
CTDG texture characterisation by AMFM in participants with and without severe exacerbations

Lancet Digital Health article published on predicting severe exacerbations in COPD using lung CT texture analysis

Saturday, February 25, 2023
Faizyab Chaudhary is the lead author on a new article in Lancet Digital Health on using lung CT texture analysis to predict exacerbations in COPD.