Journal

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 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 »

Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models.

Mouheb K, Ghojogh Nejad M, Dahal L, Samei E, Lafata KJ, Segars WP, Lo JY.
Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models.
Shape in Medical Imaging. ShapeMI.2025;Lecture Notes in Computer Science, vol 16171. Springer, Cham. Epub 2025/10/05. [Foundation]
https://doi.org/10.1007/978-3-032-06774-6_8

Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models. 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 »

Relevance and application of digital project management in academic research: A case study in a Medical Physics lab and practice.

Vancoillie L, Fryling M, Samei E.
Relevance and application of digital project management in academic research: A case study in a Medical Physics lab and practice.
Journal of Applied Clinical Medical Physics. 2025;26(9):e70242 Epub 2025/09/01. [Foundation]
https://doi.org/10.1002/acm2.70242

Relevance and application of digital project management in academic research: A case study in a Medical Physics lab and practice. 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 »