Marius George Linguraru
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Marius George Linguraru DPhil, MA, MSc, is an American scientist specialized in artificial intelligence (AI) for healthcare, rare diseases, medical imaging, and global health. He is the Connor Family Professor and Endowed Chair in Research and Innovation at Children’s National Hospital in Washington, D.C., and a Professor of Radiology and Pediatrics at the George Washington University.[1] Since 2025, he has served as President of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.[2] As a public speaker and scientific advisor, he has championed the ethical use of AI technology in healthcare.[3]
Education
Linguraru earned his DPhil (PhD) in Engineering Science and Medical Image Analysis from the University of Oxford in 2004, where he was a member of Keble College and recipient of the Scatcherd European and Overseas Research Scholarships.[4]
His postdoctoral training included research fellowships at the French Institute for Research in Computer Science and Automation (INRIA) and Harvard University.[5][6]
Career
Academic
Linguraru is the Connor Family Professor and Endowed Chair in Research and Innovation at Children's National Hospital in Washington, D.C., where he also serves as a principal investigator and the founder of the Pediatric Accelerated Intelligence (PAI) Group at the Sheikh Zayed Institute for Pediatric Surgical Innovation.[7] He holds appointments as Professor of Radiology and Pediatrics at the George Washington University, School of Medicine and Health Sciences.[8]
He previously worked as a scientist at the National Institutes of Health (NIH).[9]
Industry
Linguraru co-founded PediaMetrix Inc., a U.S.-based company that develops AI technologies to advance pediatric healthcare. The company's SoftSpot digital app was approved by the FDA for cranial measurements.[10]
He created mGene, an AI-based smartphone app for screening for genetic diseases.[11] The mGene algorithm was licensed to MGeneRx Inc., a U.S.-based company specialized in non-invasive genetic screening.[12]
Scientific contributions
Linguraru's research includes:
- AI algorithms for cancer diagnostics and tumor measurement in pediatric clinical trials.[13][14][15]
- Multi-organ image analysis, non-parametric shape modeling, and quantitative analysis of complex anatomical structures.[16][17][18]
- Deep learning applications for global health, including AI-powered newborn genetic screening,[19][20] diagnostics for rheumatic heart disease,[21] and improved ultra-low field MRI quality and capacity.[22][23]
Leadership in scientific societies
Linguraru became president of the Medical Image Computing and Computer Assisted Intervention Society|Medical Image Computing and Computer Assisted Intervention (MICCAI) Society in 2025, and has held leadership roles in the IEEE Engineering in Medicine and Biology Society (EMBS), IEEE Signal Processing Society, and the International Society of Medical Information Processing and Analysis (SIPAIM).[24]
He founded the MICCAI Society Mentorship Program, fostering global mentorship networks for early-career scientists.[25]
As Chair and co-organizer of international conferences and events, including MICCAI, IEEE ISBI, and the AFRICAI Summer School, he has promoted mentorship and global capacity-building.[26]
Policy and global impact
Linguraru has contributed to global health AI policy through participation in World Bank and science diplomacy events,[27][28] and by co-authoring the first consensus guidelines for trustworthy AI implementation in healthcare, known as the FUTURE-AI framework, published in The BMJ.[29] He also contributed to one of the largest federated learning studies, published in Nature Medicine, which demonstrated how distributed AI models protect privacy and increase access to data from small and vulnerable populations.[30]
Awards and honors
- Distinguished Service Award, IEEE EMBS (2025)[31]
- Distinguished Lecturer, IEEE EMBS (2016–2018)[32]
- First Prize, International Pediatric Brain Tumor Segmentation Challenge – BraTS-PEDS (2023)[33]
- First Prize, International Brain Tumor Segmentation Challenge on Sub-Saharan Africa Glioma – BraTS-Africa (2024)[34]
Personal life
Linguraru was born in 1973 and has lived and worked in Romania, the United Kingdom, France, and the United States.
Media coverage
Linguraru's work has been featured by The Economist[35], The Washington Post[36], The Times (London)[37], PBS[38], and Voice of America[39]
Selected publications
- Lekadir K, Frangi AF, Porras AR, et al. FUTURE-AI: International Consensus Guideline for Trustworthy and Deployable Artificial Intelligence in Healthcare. BMJ. 2025;388:e081554. doi:10.1136/bmj-2024-081554
- Fathi Kazerooni A, Khalili N, Liu X, et al. BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. Machine Learning for Biomedical Imaging. 2025;3:72–87. doi:10.59275/j.melba.2025-f6fg
- Linguraru MG, Bakas S, Aboian M, et al. Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiol Artif Intell. 2024;6(4):e240225. doi:10.1148/ryai.240225
- Brown K, Roshanitabrizi P, Rwebembera J, et al. Using Artificial Intelligence for Rheumatic Heart Disease Detection by Echocardiography: Focus on Mitral Regurgitation. J Am Heart Assoc. 2024;13(2):e031257. doi:10.1161/JAHA.123.031257
- Dayan I, Roth HR, Zhong A, et al. Federated Learning for Predicting Clinical Outcomes in Patients with COVID-19. Nat Med. 2021;27(10):1735–1743. doi:10.1038/s41591-021-01506-3
- Porras AR, Rosenbaum K, Tor-Diez C, Summar M, Linguraru MG. Development and Evaluation of a Machine Learning-based Point-of-care Screening Tool for Genetic Syndromes in Children: A Multinational Retrospective Study. Lancet Digit Health. 2021;3(10):e635–e643. doi:10.1016/S2589-7500(21)00137-0
- Cerrolaza JJ, Picazo ML, Humbert L, et al. Computational Anatomy for Multi-organ Analysis in Medical Imaging: A Review. Med Image Anal. 2019;56:44–67. doi:10.1016/j.media.2019.04.002
References
- ↑ "Research Profile - Marius George Linguraru". People. Childrens National. 2025. Retrieved 2025-07-05.
- ↑ "Board of Directors". About MICCAI. MICCAI. 2025.
- ↑ "Equitable AI for Children's Health and Rare Diseases". Center for Virtual Clinical Trial. Duke University. 2025. Retrieved 2025-07-05.
- ↑ "Marius George Linguraru". School of Medicine and Health Sciences. George Washington University. Retrieved 2025-07-05.
- ↑ "Epidaure Project Marius George Linguraru". Epidaure. INRIA. Retrieved 2025-07-05.
- ↑ "People". Harvard Biorobotics Lab. Harvard University. 2025.
- ↑ "Research Profile - Marius George Linguraru". People. Childrens National. 2025. Retrieved 2025-07-05.
- ↑ "Marius George Linguraru". School of Medicine and Health Sciences. George Washington University. Retrieved 2025-07-05.
- ↑ "Research Profile - Marius George Linguraru". People. Childrens National. 2025. Retrieved 2025-07-05.
- ↑ "Team". PediaMetrix. 2025. Retrieved 2025-07-05.
- ↑ Porras, Antonio (2021-09-01). "Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study". Lancet Digital Health. 3 (10): e635–e643. doi:10.1016/S2589-7500(21)00137-0. PMID 34481768 Check
|pmid=value (help). - ↑ "About us". Holdings. MGeneRx. 2025. Retrieved 2025-07-05.
- ↑ Fathi Kazerooni, Anahita (2025-06-26). "BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023". Machine Learning for Biomedical Imaging. 3 (6): 72–87. doi:10.59275/j.melba.2025-f6fg. Unknown parameter
|article-number=ignored (help) - ↑ Liu, Xinyang (2024-06-28). "Early prognostication of overall survival for pediatric diffuse midline gliomas using MRI radiomics and machine learning: A two-center study". Neurooncology Advances. 6 (1): 1–11.
- ↑ Avery, Robert (2016-11-04). "Optic pathway glioma volume predicts retinal axon degeneration in neurofibromatosis type 1". Neurology. 87 (23): 2403–2407. doi:10.1212/WNL.0000000000003402. PMC 5177678. PMID 27815398.
- ↑ Cerrolaza, Juan (2019-08-01). "Computational anatomy for multi-organ analysis in medical imaging: A review". Medical Image Analysis. 56: 44–67. doi:10.1016/j.media.2019.04.002. PMID 31181343.
- ↑ Cerrolaza, Juan (2015-04-15). "Automatic multi-resolution shape modeling of multi-organ structures". Medical Image Analysis. 25 (1): 11–21. doi:10.1016/j.media.2015.04.003. PMC 5526337. PMID 25977156.
- ↑ Linguraru, Marius George (2012-02-11). "Statistical 4D graphs for multi-organ abdominal segmentation from multiphase CT". Medical Image Analysis. 16 (4): 904–914. doi:10.1016/j.media.2012.02.001. PMC 3322299. PMID 22377657.
- ↑ Porras, Antonio (2021-09-01). "Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study". Lancet Digital Health. 3 (10): e635–e643. doi:10.1016/S2589-7500(21)00137-0. PMID 34481768 Check
|pmid=value (help). - ↑ Kruszka, Paul (2017-03-22). "22q11.2 deletion syndrome in diverse populations". American Journal of Medical Genetics Part A. 173 (4): 904–914. doi:10.1002/ajmg.a.38199. PMC 5363275. PMID 28328118.
- ↑ Brown, Kelsey (2024-01-16). "Using Artificial Intelligence for Rheumatic Heart Disease Detection by Echocardiography: Focus on Mitral Regurgitation". Journal of the American Heart Association. 13 (2): 031257. doi:10.1161/JAHA.123.031257. PMC 10926790 Check
|pmc=value (help). PMID 38226515 Check|pmid=value (help). Unknown parameter|article-number=ignored (help) - ↑ Abate, F (2024-05-31). "UNITY: A low-field magnetic resonance neuroimaging initiative to characterize neurodevelopment in low and middle-income settings". Developmental Cognitive Neuroscience. 69. doi:10.1016/j.dcn.2024.101397. PMC 11315107 Check
|pmc=value (help). PMID 39029330 Check|pmid=value (help). Unknown parameter|article-number=ignored (help) - ↑ Tapp, Austin (2024-10-03). "Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion". Medical Image Computing and Computer Assisted Intervention. Lecture Notes in Computer Science. 15003. pp. 444–454. doi:10.1007/978-3-031-72384-1_42. ISBN 978-3-031-72383-4. PMC 12033166 Check
|pmc=value (help). PMID 40297805 Check|pmid=value (help). Search this book on
- ↑ "Board of Directors". About MICCAI. MICCAI. 2025.
- ↑ "MICCAI Society Mentorship Program". MICCAI. 2025. Retrieved 2025-07-05.
- ↑ "Summer School 2023 - AFRICAI". African Network for Artificial Intelligence in Biomedical Imaging (AFRICAI). 2023. Retrieved 2025-07-05.
- ↑ "Johns Hopkins Science Diplomacy Summit 2024". LinkedIn. Retrieved 2025-07-05.
- ↑ "AI in Action Event Series". Events. World Bank Group. 2025. Retrieved 2025-07-05.
- ↑ Lekadir, Karim (2025-02-17). "FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare". BMJ. 388: e081554. doi:10.1136/bmj-2024-081554. PMC 11795397 Check
|pmc=value (help). PMID 39909534 Check|pmid=value (help). - ↑ Dayan, Ittai (2021-09-15). "Federated learning for predicting clinical outcomes in patients with COVID-19". Nature Medicine. 27 (10): 1735–1743. doi:10.1038/s41591-021-01506-3. PMC 9157510 Check
|pmc=value (help). PMID 34526699 Check|pmid=value (help). - ↑ "We are thrilled to announce the outstanding recipients of the 2025 EMBS Awards!". LinkedIn. 2025-07-03.
- ↑ "EMB Newsletter". EMBS. IEEE. 2017. Retrieved 2025-07-05.
- ↑ Fathi Kazerooni, Anahita (2025-06-26). "BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023". Machine Learning for Biomedical Imaging. 3 (6): 72–87. doi:10.59275/j.melba.2025-f6fg. Unknown parameter
|article-number=ignored (help) - ↑ "AI for good: Children's National wins global competitions for measuring brain tumors". Innovation District. Childrens National. 2025-01-10.
- ↑ "Researchers produce images of people's faces from their genomes". The Economist. London. 2017-09-17.
- ↑ Johnson, Mark (2024-01-16). "How doctors are using AI to diagnose a hidden heart condition in kids". The Washington Post.
- ↑ Bridge, Mark (2017-04-17). "Face app helps to spot rare diseases". The Times. London.
- ↑ Snow, Jackie (2019-03-06). "The Algorithm Will See You Now: How AI is Helping Doctors Diagnose and Treat Patients". PBS. PBS.
- ↑ Putic, George (2014-04-24). "Mobile Phone App Could Help Detect Down Syndrome". VOA. VOA.
See also
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