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. 2025 Epub 2025/10/21. [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 »
Fu W, Sharma S, Solomon J, Ria F, Setiawan H, Ding A, Segars WP, Samei E.
Patient-specific organ dose and in-vivo image quality assessment in clinical CT.
Physica Medica. 2025;136:105017. Epub 2025/10/21. [Foundation]
https://doi.org/10.1016/j.ejmp.2025.105017
Patient-specific organ dose and in-vivo image quality assessment in clinical CT Read More »
Wang AJ, Tushar FI, Harowicz MR, Tong BC, Lafata KJ, Tailor TD, Lo JY.
Duke Lung Cancer Screening (DLCS) Dataset: A Reference Dataset of Annotated Low-dose Screening Thoracic CT.
Radiology Artificial Intelligence.2025;e240248 Epub 2025/04/16. [Foundation]
https://doi.org/10.1148/ryai.240248
Tushar FI, Vancoillie L, McCabe C, Kavuri A, Dahal L, Harrawood B, Fryling M, Zarei M, Sotoudeh-Paima S, et al.
Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection.
Medical Image Analysis.2025;103:103576 Epub 2025/04/05. [Foundation]
https://doi.org/10.1016/j.media.2025.103576
McCabe C, Abadi E, Zarei M, Segars WP, Samei E.
The potential of photon-counting CT for the improved precision of lung nodule radiomics.
Phys Med Biol. 2025;70(3):10.1088/1361-6560/adaad2. Epub 2025/01/27. [Foundation]
https://doi.org/10.1088/1361-6560/adaad2
The potential of photon-counting CT for the improved precision of lung nodule radiomics Read More »
Dahal L, Tushar FI, Abadi E, Fricks RB, Mazurowski M, Segars WP, Samei E, Lo J.
Virtual versus reality: external validation of COVID-19 classifiers using XCAT phantoms for chest radiography.
SPIE Medical Imaging. 2022;12031.
McCabe C, Zarei M, Segars WP, Samei E, Abadi E.
Optimization of imaging parameters of an investigational photon-counting CT prototype for lung lesion radiomics.
SPIE Medical Imaging. 2022;12033.
https://doi.org/10.1117/12.2612973
Tushar FI, Abadi E, Sotoudeh-Paima S, Fricks R, Mazurowski M, Segars WP, Samei E, Lo J.
Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography.
SPIE Medical Imaging. 2022;12033.
Tushar FI, D’Anniballe V, Rubin G, Samei E, Lo J.
Co-occurring diseases heavily influence the performance of weakly supervised learning models for classification of chest CT.
SPIE Medical Imaging. 2022;12033
https://doi.org/10.1117/12.2612700
Tushar FI, Nujaim H, Fu W, Abadi E, Mazurowski M, Segars W, Samei E, Lo JY.
Quality or quantity: toward a unified approach for multi-organ segmentation in body CT.
SPIE Medical Imaging. 2022;12031.
Quality or quantity: toward a unified approach for multi-organ segmentation in body CT Read More »
