Select Publications by Members of the Artificial Intelligence Team at the Integrated Research Facility at Fort Detrick

Through collaborative work, the AI Team has played a critical role in a number of papers as well as presentations at conferences.

Solomon J, Aiosa N, Bradley D, Castro MA, Reza S, Bartos C, Sayre P, Lee JH, Sword J, Holbrook MR, Bennett RS, Hammoud DA, Johnson RF, Feuerstein I. Atlas-Based Liver Segmentation for Nonhuman Primate Research. Int J Comput Assist Radiol Surg. 2020 Oct;15(10):1631-1638. doi: 10.1007/s11548-020-02225-9.

Reza SMS, Bradley D, Aiosa N, Castro M, Lee JH, Lee B-Y, Bennett RS, Hensley LE, Cong Y, Johnson R, Hammoud D, Feuerstein I, Solomon J. Deep Learning for Automated Liver Segmentation to Aid in the Study of Infectious Diseases in Nonhuman Primates. Acad Radiol. 2021 Nov;28(1):S37-S44. doi: 10.1016/j.acra.2020.08.023.

Castro MA, Reza S, Chu WT, Bradley D, Lee JH, Crozier I, Sayre PJ, Lee BY, Mani V, Friedrich TC, O'Connor DH, Finch CL, Worwa G, Feuerstein IM, Kuhn JH, Solomon J. Toward the determination of sensitive and reliable whole-lung computed tomography features for robust standard radiomics and delta-radiomics analysis in a nonhuman primate model of coronavirus disease 2019. J Med Imaging (Bellingham). 2022 Nov;9(6):066003. doi: 10.1117/1.JMI.9.6.066003.

Reza SMS, Chu WT, Homayounieh F, Blain M, Firouzabadi FD, Anari PY, Lee JH, Worwa G, Finch CL, Kuhn JH, Malayeri A, Crozier I, Wood BJ, Feuerstein IM, Solomon J. Deep-Learning-Based Whole-Lung and Lung-Lesion Quantification Despite Inconsistent Ground Truth: Application to Computerized Tomography in SARS-CoV-2 Nonhuman Primate Models. Acad Radiol. 2023 Sep;30(9):2037-2045. doi: 10.1016/j.acra.2023.02.027.

Sword J, Lee JH, Castro MA, Solomon J, Aiosa N, Reza SMS, Chu WT, Johnson JC, Bartos C, Cooper K, Jahrling PB, Johnson RF, Calcagno C, Crozier I, Kuhn JH, Hensley LE, Feuerstein IM, Mani V. Computed Tomography Imaging for Monitoring of Marburg Virus Disease: a Nonhuman Primate Proof-Of-Concept Study. Microbiol Spectr. 2023 Jun 15;11(3):e0349422. doi: 10.1128/spectrum.03494-22.

Chu WT, Castro MA, Reza S, Cooper TK, Bartlinski S, Bradley D, Anthony SM, Worwa G, Finch CL, Kuhn JH, Crozier I, Solomon J. Novel machine-learning analysis of SARS-CoV-2 infection in a subclinical nonhuman primate model using radiomics and blood biomarkers. Sci Rep. 2023 Nov 10;13(1):19607. doi: 10.1038/s41598-023-46694-9.

Chu WT, Reza SMS, Anibal JT, Landa A, Crozier I, Bağci U, Wood BJ, Solomon J. Artificial Intelligence and Infectious Disease Imaging. J Infect Dis. 2023 Oct 1;228(Sup4):S322-S336. doi: 10.1093/infdis/jiad158.

Conference Papers

Castro MA, Solomon J, Lee JH, Sayre PJ, Bartos C, Thomasson D, Bollinger L, Sword J, Hensley L, Johnson RF, Feuerstein IM. Quantification of axillary lymphadenopathy from CT images of filovirus infections in nonhuman primates: sensitivity and evaluation of radiomics-based methods. Paper presented at: Society of Photo-Optical Instrumentation Engineers Medical Imaging 2020. Proceedings of the SPIE 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1131725: 2020 February 28; Houston, Texas, United States.

Castro MA, Reza S, Chu W, Bradley D, Lee JH, Crozier I, Sayre PJ, Lee B-Y, Mani V, Friedrich TC, O'Connor D, Finch CL, Worwa G, Feuerstein I, Kuhn J, Solomon J. Determination of reliable whole lung CT features for robust standard radiomics and delta radiomics analysis in a crab-eating macaque model of COVID-19: stability and sensitivity analysis. Paper presented at: Society of Photo-Optical Instrumentation Engineers Medical Imaging 2022. Proceedings of the SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1203621: 2022 April 4; San Diego, California, United States.

Wang H, Solomon J, Reza S, Yang H-J, Crozier I, Sayre PJ, Chu WT, Lee BY, Mani V, Friedrich TC, O'Connor DH, Mulder WJM, Worwa G, Kuhn JH, Calcagno C, Castro MA. Determination of reproducible radiomic features for diagnosis of fatty liver disease in a crab-eating macaque model. Paper presented at: Society of Photo-Optical Instrumentation Engineers Medical Imaging 2023. Proceedings of the SPIE 12468, Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1246819: 2023 April 10; San Diego, California, United States.

Shinguyen L, Chu W, Rustad M, Malayeri A, Homayounieh M, Singh S, Calcagna C, Sayre P, Crozier I, Worwa G, Kuhn JH, Wood B, Castro M, and Solomon J. Lung lesion segmentation of CT scans after SARS-CoV-2 infection: combining nonhuman primate with human data for inter-species transfer learning. Paper presented at: Society of Photo-Optical Instrumentation Engineers Medical Imaging 2024. Proceedings of the SPIE 12930, Medical Imaging 2024: Clinical and Biomedical Imaging, 1293010: 2024 April 2; San Diego, California, United States.

Rustad M, Chu W, Reza S, Sayre PJ, Crozier I, Worwa G, Kuhn JH, Calcagno C, Castro M, and Solomon J. Active learning applied to selection of diverse training data using radiomic features for optimal lung lesion segmentation in nonhuman primates. Proc. SPIE 12930, Medical Imaging 2024: Clinical and Biomedical Imaging, 129301X: 2024 2 April; San Diego, California, United States.

Posters/Oral Presentations

Varghese B, Solomon J. Identification of radiomic correlates of blood and serum markers of Ebola virus disease. Poster session presented at: American Roentgen Ray Society Annual Meeting; 2020 May 3–8; Chicago, IL.

Bradley D, Solomon J. Deep learning outperforms atlas-based liver segmentation in nonhuman primates with infectious diseases. Poster session presented at: Annual Biomedical Research Conference for Minority Students Conference: The Virtual Experience; 2020 Nov 9–13; virtual.

Solomon J, Bartlinski S, Castro MA, Bradley D, Reza S, Lee JH, Finch C, Lee BY, Feuerstein I, Johnson R, Crozier C. Predictive models for nonhuman primate COVID-19 imaging research using machine learning. Poster session presented at: World Molecular Imaging Congress of the World Molecular Imaging Society (WMIC Virtual 2021); 2021 Oct 6–9; virtual.

Wang H, Solomon J, Castro MA, Mani V, Crozier I, Kuhn JH, Crane A, Calcagno CM. The Integrated Research Facility at Fort Detrick Is Poised for the Future of Infectious Disease Imaging, Abstracts. Poster session presented at: A Cellular and Molecular Imaging Workshop; 2022 Jul 23–26; Pasadena, CA.

Kuhn J, Calcagno C, Mani V, Solomon J, Hammoud DA, Feuerstein I, Cooper TK, Sword J, Worwa G, Reza S, Holbrook MR, Hensley L, Johnson RF, Crozier I, Schmaljohn CS. Utility of medical imaging in monitoring filovirus disease (Poster 389). Poster session presented at: International Union of Microbiological Societies (IUMS) Congress 2022; 2022 Jul 20–22; hybrid (Rotterdam, The Netherlands and online).

Kuhn J, Calcagno C, Mani V, Solomon J, Hammoud DA, Feuerstein I, Cooper TK, Sword J, Worwa G, Reza S, Holbrook MR, Hensley L, Johnson RF, Crozier I, Schmaljohn CS. Utility of medical imaging in monitoring filovirus disease (Poster P9). Poster session presented at: International Filovirus Symposium; 2022 Sep 18–21; San Diego, CA.

Castro MA, Reza S, Chu WT, Bradley D, Lee JH, Crozier I, Sayre PJ, Lee BY, Mani V, Friedrich T, O'Connor D, Finch C, Worwa G, Feuerstein IM, Kuhn J, Solomon J. Determination of reliable whole-lung CT features for robust standard radiomics and delta-radiomics analysis in a crab-eating macaque model of COVID-19: stability and sensitivity analysis. Poster session presented at: International Society for Optics and Photonics; 2022 Aug 21–25; San Diego, CA.

Singh S, Homayounieh F, Chu WT, Solomon J, Malayeri A. Automated segmentation of nonhuman primate organs: applications and challenges. Poster session presented at: Society of Thoracic Radiology; 2022 Mar 19–23; Las Vegas, NV.

Chu WT, Reza S, Castro M, Solomon J. Automated pipeline for deep learning segmentation of multiple organs and extraction of radiomics features. Poster session presented at: Medical Image Understanding and Analysis (MIUA 2022); 2022 Jul 27–29; Cambridge, United Kingdom.

Chu WT, Reza S, Homayounieh F, Calcagno C, Mani V, Kuhn J, Worwa G, Crozier I, Hammoud DA, Malayeri A, Solomon J. Machine learning model trained on select radiomic features outperforms radiologist assessment of CT scans of a mild nonhuman primate model of SARS-CoV-2-infection. Poster session presented at: SIIM CMIMI 2022—Conference on Machine Intelligence in Medical Imaging; 2022 Oct 2–3; virtual.

Morris CP, Liu YL, Perry DL, Solomon J, Chu WT, Hischak A, Hart R, Bernbaum JG, Crozier I. Machine searning-aided comparison of liver histopathology in nonhuman primate models of filovirus disease. Poster session presented at: USAMRDC & MHRF Spring Research Festival; 2023 Apr 25; Frederick, MD.

Krantz M, Chu WT, Homayounieh F, Singh S, Holland WA, Shinguyen L, Calcagno C, Malayeri A, Cong Y, Crozier I, Solomon J. A novel deep learning-based segmentation framework used to optimize hyper-parameters for nonhuman primate liver segmentation. Poster session presented at: USAMRDC & MHRF Spring Research Festival; 2023 Apr 25; Frederick, MD.

Shinguyen L, Chu WT, Homayounieh F, Singh S, Sayre P, Calcagno C, Malayeri A, Solomon J. Feature optimization and translation of segmentation models: developing pretrained NHP models for lung Lesion segmentation on human CT scans. Poster session presented at: USAMRDC & MHRF Spring Research Festival; 2023 Apr 25; Frederick, MD.

Holland WA, Chu WT, Singh S, Homayounieh F, Crozier I, Malayeri A, Calcagno C, & Solomon J. Dynamic radiomic report to assist radiologists. Poster session presented at: USAMRDC & MHRF Spring Research Festival; 2023 Apr 25; Frederick, MD.

Chu WT, Reza S, Castro M, Solomon J. Automated pipeline for deep learning segmentation of multiple organs and extraction of radiomics features. Poster session presented at: USAMRDC & MHRF Spring Research Festival; 2023 Apr 25; Frederick, MD.

Wang H, Solomon J, Reza SMS, Yang HJ, Crozier I, Sayre PJ, , Chu WT, Lee BY, Mani V, Friedrich T, O'Connor D, Mulder WJ, Worwa G, Kuhn JH, Mani C, Castro MA. Determination of reproducible radiomic features for diagnosis of fatty Liver disease in a crab-eating macaque model. Poster session presented at: Society of Photo-Optical Instrumentation Engineers Medical Imaging; 2023 Feb 19–23; San Diego, CA.

Solomon J, Chu WT, Castro MA, Crozier I. Radiomics applied to the prediction of SARS-CoV-2 infection in nonhuman primates. Poster session presented at: NICBR Winter Symposium: “Omics” and Its Application to NICBR Research; 2023 Jan 31; Frederick, MD.

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