most citedAutomated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022

Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns

Babak Haghighi, Warren B. Gefter, Lauren Pantalone +2

Purpose: To utilize high-resolution quantitative CT (QCT) imaging features for prediction of diagnosis and prognosis in fibrosing interstitial lung diseases (ILD). Approach: 40 ILD…

eess.IV2020★ 5 cited

Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth

Eduardo Mortani Barbosa, Warren B. Gefter, Rochelle Yang +13

Purpose: To leverage volumetric quantification of airspace disease (AD) derived from a superior modality (CT) serving as ground truth, projected onto digitally reconstructed radiog…