Precision Medical Imaging Laboratory
About the Lab
We partner with our clinicians, distilling specialized medical knowledge into software and mobile technology that doctors worldwide will be able to download and use.
We use quantitative imaging and machine learning to interpret large amounts of multidisciplinary data in ways that surpass the possibilities of the unaided human eye. Pediatric specialists use our medical devices to accelerate diagnosis and predict clinical outcomes in diseases of infancy and childhood. With an early diagnosis, physicians can deliver care faster and prevent health complications.
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Lab Focus Areas
Precision Medical Imaging
Artificial Intelligence and Predictive Analytics
Quantitative Imaging -
Contact
Marius George Linguraru, D.Phil., M.A., M.S. Principal Investigator, Precision Medical Imaging Laboratory at the Sheikh Zayed Institute for Pediatric Surgical Innovation [email protected] 202-476-3059
Our Research
The Precision Medical Imaging Laboratory works to enhance the clinical information in medical images to improve the health of children.
Featured Publications
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A generic approach to lung field segmentation from chest radiographs using deep space and shape learning
Mansoor A, Cerrolaza JJ, Perez G, Biggs E, Okada K, Nino G, Linguraru MG PubMed PMID: 31425015; PubMed Central PMCID: PMC7293875. IEEE Trans Biomed Eng 67(4):1206-1220. doi: 10.1109/TBME.2019.2933508. Epub April (2020) -
Validation of a new predictive model to improve risk stratification in bronchopulmonary dysplasia
Nino G, Mansoor A, Perez GF, Arroyo M, Xuchen X, Weinstock J, Kyle Salka, Said M, Acuña-Cordero R, Sossa-Briceño MP, Rodríguez-Martínez CE, Linguraru M PubMed PMID: 31953419; PubMed Central PMCID: PMC6969113. Sci Rep 10(1):613. doi: 10.1038/s41598-019-56355-5 January (2020) -
Quantification of head shape from three-dimensional photography for presurgical and postsurgical evaluation of craniosynostosis
Porras AR, Tu L, Tsering D, Mantilla E, Oh A, Enquobahrie A, Keating R, Rogers GF, Linguraru MG PubMed PMID: 31764657; PubMed Central PMCID: PMC6905129. Plast Reconstr Surg 144(6):1051e-1060e. doi: 10.1097/PRS.0000000000006260 December (2019) -
Computational anatomy for multi-organ analysis in medical imaging: A review
Juan J Cerrolaza, Mirella López Picazo, Ludovic Humbert, Yoshinobu Sato, Daniel Rueckert, Miguel Ángel González Ballester, Marius George Linguraru Med Image Anal. 56:44-67. doi: 10.1016/j.media.2019.04.002 August (2019) -
22q11.2 deletion syndrome in diverse populations
Paul Kruszka, Yonit A Addissie, Daniel E McGinn, Antonio R Porras, Elijah Biggs, Matthew Share, T Blaine Crowley, Brian H Y Chung, Gary T K Mok, Christopher C Y Mak, Premala Muthukumarasamy, Meow-Keong Thong, Nirmala D Sirisena, Vajira H W Dissanayake, C Sampath Paththinige, L B Lahiru Prabodha, Rupesh Mishra, Vorasuk Shotelersuk, Ekanem Nsikak Ekure, Ogochukwu Jidechukwu Sokunbi, Nnenna Kalu, Carlos R Ferreira, Jordann-Mishael Duncan, Siddaramappa Jagdish Patil, Kelly L Jones, Julie D Kaplan, Omar A Abdul-Rahman, Annette Uwineza, Leon Mutesa, Angélica Moresco, María Gabriela Obregon, Antonio Richieri-Costa, Vera L Gil-da-Silva-Lopes, Adebowale A Adeyemo, Marshall Summar, Elaine H Zackai, Donna M McDonald-McGinn, Marius George Linguraru, Maximilian Muenke Am J Med Genet A. 173(4):879-888. doi: 10.1002/ajmg.a.38199 April (2017)
Research Updates
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Top AI models unveiled in COVID-19 challenge to improve lung diagnostics
January 12, 2021 -
Children’s National joins international AI COVID-19 initiative
October 28, 2020 -
$1M grant funds research on quantitative imaging for tumors
July 21, 2020