Modeling Lung Architecture in the XCAT Series of Phantoms: Physiologically Based Airways, Arteries and Veins. - Ehsan Abadi; William Paul Segars; Gregory M. Sturgeon; Justus E. Roos; Carl E. Ravin; Ehsan Samei (IEEE Trans. Medical Imaging, 2018)

DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography. - Ehsan Abadi; Brian P. Harrawood; Shobhit Sharma; Anuj J. Kapadia; William Paul Segars; Ehsan Samei (IEEE Trans. Medical Imaging, 2019)

Classification of COVID-19 in chest radiographs: assessing the impact of imaging parameters using clinical and simulated images. - Rafael B. Fricks; Ehsan Abadi; Francesco Ria; Ehsan Samei (Computer-Aided Diagnosis, 2021)

iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry. - Wanyi Fu; Shobhit Sharma; Ehsan Abadi; Alexandros-Stavros Iliopoulos; Qi Wang; Joseph Y. Lo; Xiaobai Sun; William Paul Segars; Ehsan Samei (IEEE J. Biomed. Health Informatics, 2021)

Optimization of imaging parameters of an investigational photon-counting CT prototype for lung lesion radiomics. - Cindy McCabe; Mojtaba Zarei; William Paul Segars; Ehsan Samei; Ehsan Abadi (Computer-Aided Diagnosis, 2022)

Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography. - Fakrul Islam Tushar; Ehsan Abadi; Saman Sotoudeh-Paima; Rafael B. Fricks; Maciej A. Mazurowski; William Paul Segars; Ehsan Samei; Joseph Y. Lo (Computer-Aided Diagnosis, 2022)

Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT. - Fakrul Islam Tushar; Husam Nujaim; Wanyi Fu; Ehsan Abadi; Maciej A. Mazurowski; Ehsan Samei; William Paul Segars; Joseph Y. Lo (CoRR, 2022)

Corrections to "iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and its Application to CT Organ Dosimetry". - Wanyi Fu; Shobhit Sharma; Ehsan Abadi; Alexandros-Stavros Iliopoulos; Qi Wang; Joseph Y. Lo; Xiaobai Sun; William Paul Segars; Ehsan Samei (IEEE J. Biomed. Health Informatics, 2022)

CT-HARMONICA: physics-based CT harmonization for reliable lung density quantification. - Saman Sotoudeh-Paima; Ehsan Samei; Ehsan Abadi (Computer-Aided Diagnosis, 2023)

Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19. - Fakrul Islam Tushar; Lavsen Dahal; Saman Sotoudeh-Paima; Ehsan Abadi; William Paul Segars; Ehsan Samei; Joseph Y. Lo (CoRR, 2023)

XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans. - Lavsen Dahal; Mobina Ghojogh Nejad; Dhrubajyoti Ghosh; Yubraj Bhandari; David Kim; Fong Chi Ho; Fakrul Islam Tushar; Sheng Luo 005; Kyle J. Lafata; Ehsan Abadi; Ehsan Samei; Joseph Y. Lo; et al. (CoRR, 2024)

A Physics-Informed Deep Neural Network for Harmonization of CT Images. - Mojtaba Zarei; Saman Sotoudeh-Paima; Cindy McCabe; Ehsan Abadi; Ehsan Samei (IEEE Trans. Biomed. Eng., 2024)

XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans. - Lavsen Dahal; Mobina Ghojogh Nejad; Liesbeth Vancoillie; Dhrubajyoti Ghosh; Yubraj Bhandari; David Kim; Fong Chi Ho; Fakrul Islam Tushar; Sheng Luo 005; Kyle J. Lafata; Ehsan Abadi; Ehsan Samei; et al. (Medical Image Anal., 2025)

Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection. - Fakrul Islam Tushar; Liesbeth Vancoillie; Cindy McCabe; Amareswararao Kavuri; Lavsen Dahal; Brian P. Harrawood; Milo Fryling; Mojtaba Zarei; Saman Sotoudeh-Paima; Fong Chi Ho; Dhrubajyoti Ghosh; Michael R. Harowicz; et al. (Medical Image Anal., 2025)

SYN-LUNGS: Towards Simulating Lung Nodules with Anatomy-Informed Digital Twins for AI Training. - Fakrul Islam Tushar; Lavsen Dahal; Cindy McCabe; Fong Chi Ho; Paul Segars; Ehsan Abadi; Kyle J. Lafata; Ehsan Samei; Joseph Y. Lo (CoRR, 2025)