TRD2

Truth-based Physics Informed Estimation of Material Composition in Spectral CT.

Valand JH, Zarei M, Rajagopal J, Felice N, Cao JY, Magudia K, Kruse DE, Kalisz KR, Abadi E, Samei E.
Truth-based Physics Informed Estimation of Material Composition in Spectral CT.
Physics in Medicine & Biology. 2026;71(3):5025 Epub 2026/02/10. [Foundation]
https://doi.org/10.1088/1361-6560/ae4284

Truth-based Physics Informed Estimation of Material Composition in Spectral CT. Read More »

Virtual Imaging-Guided Harmonization of Chest X-rays Using a Generative Adversarial Neural Network

Zarei M, Abadi E, Vancoillie L, Samei E.
Virtual Imaging-Guided Harmonization of Chest X-rays Using a Generative Adversarial Neural Network.
IEEE Transactions on Biomedical Engineering. 2026. Epub 2026/01/27.[Foundation]
https://doi.org/10.1109/TBME.2026.3656516

Virtual Imaging-Guided Harmonization of Chest X-rays Using a Generative Adversarial Neural Network Read More »

Technical Note: Sensitivity analysis of key Computed Tomography simulation parameters and their impact on quality of virtual images.

Montero I, Samei E, Abadi E.
Technical Note: Sensitivity analysis of key Computed Tomography simulation parameters and their impact on quality of virtual images.
Medical Physics. 2025;52(11):e70114. Epub 2025/10/21. [Foundation]
https://doi.org/10.1109/jbhi.2021.3063080

Technical Note: Sensitivity analysis of key Computed Tomography simulation parameters and their impact on quality of virtual images. Read More »

Liver Fat Quantification with a Silicon-based Photon-Counting CT: An In-Silico Imaging Study.

Panta RK, Yin Z, Gronberg F, Bhattarai M, Abadi E, Segars WP, Samei E.
Liver Fat Quantification with a Silicon-based Photon-Counting CT: An In-Silico Imaging Study.
Radiology Advances. 2025;2(5):umaf031. Epub 2025/09/02. [Foundation]
https://doi.org/10.1093/radadv/umaf031/8245841

Liver Fat Quantification with a Silicon-based Photon-Counting CT: An In-Silico Imaging Study. Read More »

Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study.

Rajagopal JR, Rapaka S, Farhadi F, et al.
Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study.
Scientific Reports. 2025;15,28814. Epub 2025/08/26. [Foundation]
https://doi.org/10.1038/s41598-025-09739-9

Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study. Read More »

Effects of Intra-patient Lung Volume Variability on CT-Based Emphysema Quantification: A Virtual Imaging Study.

Kavuri A, Paul Segars W, Xu X, Lynch DA, Page McAdams H, Samei E, Abadi E.
Effects of Intra-patient Lung Volume Variability on CT-Based Emphysema Quantification: A Virtual Imaging Study.
Academic Radiology. 2025;32(8):4913-4921. Epub 2025/08/10. [Foundation]
https://doi.org/10.1016/j.acra.2025.04.042

Effects of Intra-patient Lung Volume Variability on CT-Based Emphysema Quantification: A Virtual Imaging Study. Read More »

Denoising pediatric cardiac photon-counting CT data with sparse coding and data-adaptive, self-supervised deep learning.

Clark DP, Cao JY, Badea CT.
Denoising pediatric cardiac photon-counting CT data with sparse coding and data-adaptive, self-supervised deep learning.
Medical Physics. 2025;52(7):e17918. Epub 2025/07/15. [Foundation]
https://doi.org/10.1002/mp.17918

Denoising pediatric cardiac photon-counting CT data with sparse coding and data-adaptive, self-supervised deep learning. Read More »

Iodine quantification performance with deep silicon-based Photon-Counting CT: A virtual imaging trial study.

Panta RK, Yin Z, Gronberg F, Bhattarai M, Abadi E, Segars P, Samei E.
Iodine quantification performance with deep silicon-based Photon-Counting CT: A virtual imaging trial study.
Physica Medica. 2025;135:105003. Epub 2025/06/16. [Foundation]
https://doi.org/10.1016/j.ejmp.2025.105003

Iodine quantification performance with deep silicon-based Photon-Counting CT: A virtual imaging trial study. Read More »