Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography

no code implementations • 7 Mar 2022 • Fakrul Islam Tushar, Ehsan Abadi, Saman Sotoudeh-Paima, Rafael B. Fricks, Maciej A. Mazurowski, W. Paul Segars, Ehsan Samei, Joseph Y. Lo

However, performance dropped to an AUC of 0. 65 and 0. 69 when evaluated on clinical and our simulated CVIT-COVID dataset.

Computed Tomography (CT) COVID-19 Diagnosis

Simulating Cardiac Fluid Dynamics in the Human Heart

no code implementations • 5 Jul 2023 • Marshall Davey, Charles Puelz, Simone Rossi, Margaret Anne Smith, David R. Wells, Greg Sturgeon, W. Paul Segars, John P. Vavalle, Charles S. Peskin, Boyce E. Griffith

Here we introduce and benchmark a comprehensive mathematical model of cardiac fluid dynamics in the human heart.

Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imaging

1 code implementation • 17 Aug 2023 • Fakrul Islam Tushar, Lavsen Dahal, Saman Sotoudeh-Paima, Ehsan Abadi, W. Paul Segars, Ehsan Samei, Joseph Y. Lo

In this study, COVID-19 serves as a case example to unveil the intrinsic and extrinsic factors influencing AI performance.

Computed Tomography (CT) COVID-19 Diagnosis

Large Intestine 3D Shape Refinement Using Point Diffusion Models for Digital Phantom Generation

no code implementations • 15 Sep 2023 • Kaouther Mouheb, Mobina Ghojogh Nejad, Lavsen Dahal, Ehsan Samei, W. Paul Segars, Joseph Y. Lo

In this study, we leverage recent advancements in geometric deep learning and denoising diffusion probabilistic models to refine the segmentation results of the large intestine.

Denoising Segmentation +1

VLST: Virtual Lung Screening Trial for Lung Cancer Detection Using Virtual Imaging Trial

no code implementations • 17 Apr 2024 • Fakrul Islam Tushar, Liesbeth Vancoillie, Cindy McCabe, Amareswararao Kavuri, Lavsen Dahal, Brian Harrawood, Milo Fryling, Mojtaba Zarei, Saman Sotoudeh-Paima, Fong Chi Ho, Dhrubajyoti Ghosh, Sheng Luo, W. Paul Segars, Ehsan Abadi, Kyle J. Lafata, Ehsan Samei, Joseph Y. Lo

Objectives: To establish a virtual imaging trial (VIT) platform that accurately simulates real-world lung screening trials (LSTs) to assess the diagnostic accuracy of CT and CXR modalities.