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Author Details

Marius George Linguraru
George Washington University School of Medicine and Health Sciences
2004
120
24
PMIDPaper TitleJournal TitlePublished Year
37396608The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)</i>.ArXiv2023
37996454Data-driven cranial suture growth model enables predicting phenotypes of craniosynostosis.Sci Rep2023
37581170Erratum: Toward quantitative assessment of deformational plagiocephaly and brachycephaly at the point-of-care.J Med Imaging (Bellingham)2023
37608937The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.ArXiv2023
37393741Geometric learning and statistical modeling for surgical outcomes evaluation in craniosynostosis using 3D photogrammetry.Comput Methods Programs Biomed2023
37216247Joint Cranial Bone Labeling and Landmark Detection in Pediatric CT Images Using Context Encoding.IEEE Trans Med Imaging2023
34324420Predictive Statistical Model of Early Cranial Development.IEEE Trans Biomed Eng2022
35461688A machine learning-based screening tool for genetic syndromes in children - Authors' reply.Lancet Digit Health2022
35720200Prevalence of Mendosal Suture Patency in Infants Up to the Age of 18 Months.Plast Reconstr Surg Glob Open2022
35660764Reconstruction of the fetus face from three-dimensional ultrasound using a newborn face statistical shape model.Comput Methods Programs Biomed2022
35983543Data-driven Normative Reference of Pediatric Cranial Bone Development.Plast Reconstr Surg Glob Open2022
36156419Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.Med Image Anal2022
35315589Developing artificial intelligence technology for pediatric pulmonology: Lessons from COVID-19.Pediatr Pulmonol2022
32926572Pediatric lung imaging features of COVID-19: A systematic review and meta-analysis.Pediatr Pulmonol2021
33773094Objective differential diagnosis of Noonan and Williams-Beuren syndromes in diverse populations using quantitative facial phenotyping.Mol Genet Genomic Med2021
34870225RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI-Radiologists and Data Scientists Working Together.Radiol Artif Intell2021
34617032RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications.Radiol Artif Intell2021
34526699Federated learning for predicting clinical outcomes in patients with COVID-19.Nat Med2021
34786322Effectiveness of Automatic Planning of Fronto-orbital Advancement for the Surgical Correction of Metopic Craniosynostosis.Plast Reconstr Surg Glob Open2021
34487422Chest X-ray lung imaging features in pediatric COVID-19 and comparison with viral lower respiratory infections in young children.Pediatr Pulmonol2021
34398865Premature Fusion of the Sagittal Suture as an Incidental Radiographic Finding in Young Children.Plast Reconstr Surg2021
34481768Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study.Lancet Digit Health2021
34161860Facial analysis technology for the detection of Down syndrome in the Democratic Republic of the Congo.Eur J Med Genet2021
34100010Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.Res Sq2021
33937438Toward quantitative assessment of deformational plagiocephaly and brachycephaly at the point-of-care.J Med Imaging (Bellingham)2021
33417161Three-dimensional photography for intraoperative morphometric analysis in metopic craniosynostosis surgery.Int J Comput Assist Radiol Surg2021
33442676Federated Learning used for predicting outcomes in SARS-COV-2 patients.Res Sq2021
31425015A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning.IEEE Trans Biomed Eng2020
34327515Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation.Mach Learn Med Imaging2020
32086190Ultrasound-Based Phenotyping of Lateral Ventricles to Predict Hydrocephalus Outcome in Premature Neonates.IEEE Trans Biomed Eng2020
31953419Validation of a new predictive model to improve risk stratification in bronchopulmonary dysplasia.Sci Rep2020
33024168Neurocranium thickness mapping in early childhood.Sci Rep2020
32282689Occult Scaphocephaly: A Forme Fruste Phenotype of Sagittal Craniosynostosis.J Craniofac Surg2020
30614194Cornelia de Lange syndrome in diverse populations.Am J Med Genet A2019
31764657Quantification of Head Shape from Three-Dimensional Photography for Presurgical and Postsurgical Evaluation of Craniosynostosis.Plast Reconstr Surg2019
31181343Computational anatomy for multi-organ analysis in medical imaging: A review.Med Image Anal2019
31408743Pilot study of the potential of 3D ultrasound to measure tonsillar volume and hypertrophy.Int J Pediatr Otorhinolaryngol2019
31379402Quantitative evaluation of local head malformations from three-dimensional photography: application to craniosynostosis.Proc SPIE Int Soc Opt Eng2019
30875059Liver segmentation from low-radiation-dose pediatric computed tomography using patient-specific, statistical modeling.Int J Comput Assist Radiol Surg2019
30631137Ventricular shape evaluation on early ultrasound predicts post-hemorrhagic hydrocephalus.Pediatr Res2019
29066360Early Detection of Ureteropelvic Junction Obstruction Using Signal Analysis and Machine Learning: A Dynamic Solution to a Dynamic Problem.J Urol2018
36246427Osteotomy Planner: An open-source tool for osteotomy simulation.Proc SPIE Int Soc Opt Eng2018
29969419Locally Affine Diffeomorphic Surface Registration and Its Application to Surgical Planning of Fronto-Orbital Advancement.IEEE Trans Med Imaging2018
31379400Radiation-free quantification of head malformations in craniosynostosis patients from 3D photography.Proc SPIE Int Soc Opt Eng2018
30441059Automatic Segmentation of Neonatal Ventricles from Cranial Ultrasound for Prediction of Intraventricular Hemorrhage Outcome.Annu Int Conf IEEE Eng Med Biol Soc2018
29681090Williams-Beuren syndrome in diverse populations.Am J Med Genet A2018
27991738Down syndrome in diverse populations.Am J Med Genet A2017
31178620Cranial thickness changes in early childhood.Proc SPIE Int Soc Opt Eng2017
2832811822q11.2 deletion syndrome in diverse populations.Am J Med Genet A2017
29527598Locally affine diffeomorphic surface registration for planning of metopic craniosynostosis surgery.Med Image Comput Comput Assist Interv2017
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Collaborators

Ronald M Summers
National Institutes of Health (NIH) Clinical Center
Co-authored papers 28
Awais Mansoor
Siemens Healthineers
Co-authored papers 12
Gustavo Nino
Children's National Medical Center
Co-authored papers 9
Bradford J Wood
National Cancer Institute, National Institutes of Health
Co-authored papers 8
Carlos Tor-Diez
LaTIM U1 INSERM
Co-authored papers 6
Kenneth Rosenbaum
Rare Disease Institute, Children's National Hospital
Co-authored papers 5
Maximilian Muenke
National Human Genome Research Institute, The National Institutes of Health
Co-authored papers 5
Jesse K Sandberg
Stanford University, Lucile Packard Children's Hospital
Co-authored papers 5
Vorasuk Shotelersuk
King Chulalongkorn Memorial Hospital, Chulalongkorn University
Co-authored papers 5
William Marston Linehan
Co-authored papers 4
Carlos R Ferreira
Co-authored papers 4
Pedro J Del Nido
Boston Children's Hospital
Co-authored papers 4
Daguang Xu
NVIDIA Corporation
Co-authored papers 4
Holger R Roth
NVIDIA Corporation
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Baris Turkbey
National Cancer Institute, National Institutes of Health
Co-authored papers 4
Robert A Avery
Children's Hospital of Philadelphia
Co-authored papers 4
Nicola Rieke
Technical University of Munich (TUM)
Co-authored papers 4
Ambroise Wonkam
University of Cape Town
Co-authored papers 3
Rabia Idrees
The George Washington University
Co-authored papers 3
Adebowale Adeyemo
Center for Research on Genomics and Global Health, National Institutes of Health
Co-authored papers 3
Dina J Zand
Center for Drug Evaluation and Research
Co-authored papers 3
Roger J Packer
Brain Tumor Institute, Children's National Hospital
Co-authored papers 3
Mark T Gladwin
University of Maryland School of Medicine
Co-authored papers 3
Raymond W Sze
Children's Hospital of Philadelphia
Co-authored papers 3
Tony Mazzulli
Mount Sinai Health System and University Health Network
Co-authored papers 2
Amilcare Gentili
University of California
Co-authored papers 2
Yu Rim Lee
Kyungpook National University
Co-authored papers 2
Chiu-Ling Lai
Medical Review and Pharmaceutical Benefits Division
Co-authored papers 2
Gerald R Marx
Boston Children's Hospital, Harvard Medical School
Co-authored papers 2
Xihong Lin
Harvard T.H. Chan School of Public Health
Co-authored papers 2
Release 1.2