SH
Safwan S. Halabi
Deep LearningArtificial IntelligenceRadiologyartificial intelligencecs.CVcs.LGMachine learningradiologyClinical decision supportComputer science
On Valency
published · living versionsW_xe24gwhn·v1 · currentpublished
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
with Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu +15
1 version
Preprints & journals
56 papers in the corpus · 2014–2025Fetal Imaging-Pediatric Imaging, an AJR Podcast Series (Episode 6).41405056 · Amiruddin, Raisa, Halabi, Safwan S2026 · 0 citationsAJR. American journal of roentgenology. 2026;226(2):e2534371
Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging.39438367 · Moassefi, Mana, Singh, Yashbir, Conte, Gian Marco et al.2025 · 2 citationsJournal of imaging informatics in medicine. 2025;38(3):1914
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.38477659 · Kitamura, Felipe C, Prevedello, Luciano M, Colak, Errol et al.2024 · 12 citationsRadiology. Artificial intelligence. 2024;6(3):e230227
Checklist for Reproducibility of Deep Learning in Medical Imaging.38483694 · Moassefi, Mana, Singh, Yashbir, Conte, Gian Marco et al.2024 · 19 citationsJournal of imaging informatics in medicine. 2024;37(4):1664-1673
On the Centrality of Data: Data Resources in Radiologic Artificial Intelligence.37795139 · Mongan, John, Halabi, Safwan S2024 · 8 citationsRadiology. Artificial intelligence. 2023;5(5):e230231
Use of Artificial Intelligence in Radiology: Impact on Pediatric Patients, a White Paper From the ACR Pediatric AI Workgroup.37498259 · Sammer, Marla B K, Akbari, Yasmin S, Barth, Richard A et al.2023 · 81 citationsJournal of the American College of Radiology : JACR. 2023;20(8):730-737
AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT2303.13567v2 · Edward H. Lee, Brendan Kelly, Emre Altinmakas et al.2023 · 0 citationsarXiv
Changes in Radiology Due to Artificial Intelligence That Can Attract Medical Students to the Specialty.36939823 · Liu, David Shalom, Abu-Shaban, Kamil, Halabi, Safwan S et al.2023 · 14 citationsJMIR medical education. 2023;9:e43415
A Review of Core Concepts of Imaging Informatics.36694517 · Shah, Aren, Muddana, Pooja Sai, Halabi, Safwan2023 · 17 citationsCureus. 2022;14(12):e32828
Perceptions of US Medical Students on Artificial Intelligence in Medicine: Mixed Methods Survey Study.36269641 · Liu, David Shalom, Sawyer, Jake, Luna, Alexander et al.2024 · 90 citationsJMIR medical education. 2022;8(4):e38325
The requirements for performing artificial-intelligence-related research and model development.35996023 · Pareek, Anuj, Lungren, Matthew P, Halabi, Safwan S2022 · 6 citationsPediatric radiology. 2022;52(11):2094-2100
E Pluribus Unum (Out of Many, One): Leveraging Federated Learning to Promote Deep Learning Model Development.35809619 · Halabi, Safwan S2022 · 1 citationJournal of the American College of Radiology : JACR. 2022;19(8):967-968
Moving Toward Seamless Interinstitutional Electronic Image Transfer.35429457 · Allen, Bibb, Halabi, Safwan S2022 · 0 citationsJournal of the American College of Radiology : JACR. 2022;19(6):683-684
Attention-guided deep learning for gestational age prediction using fetal brain MRI.35082346 · Shen, Liyue, Zheng, Jimmy, Lee, Edward H et al.2022 · 54 citationsScientific reports. 2022;12(1):1408
Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 2: Annotation, Curation, and Contracting.34607753 · Batlle, Juan Carlos, Dreyer, Keith, Allen, Bibb et al.2022 · 7 citationsJournal of the American College of Radiology : JACR. 2021;18(12):1655-1665
Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 1: Data Ethics of Privacy, Consent, and Anonymization.34607754 · Batlle, Juan Carlos, Dreyer, Keith, Allen, Bibb et al.2022 · 29 citationsJournal of the American College of Radiology : JACR. 2021;18(12):1646-1654
Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial.34581608 · Eng, David K, Khandwala, Nishith B, Long, Jin et al.2021 · 84 citationsRadiology. 2021;301(3):692-699
Introduction to the artificial intelligence in pediatric radiology imaging special issue.34494143 · Offiah, Amaka C, Halabi, Safwan2022 · 4 citationsPediatric radiology. 2022;52(11):2063-2064
Correction to: Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures.33656580 · Wang, Hongmei, Wang, Lu, Lee, Edward H et al.2021 · 2 citationsEuropean journal of nuclear medicine and molecular imaging. 2021;48(5):1697
The RSNA Pulmonary Embolism CT Dataset.33937862 · Colak, Errol, Kitamura, Felipe C, Hobbs, Stephen B et al.2023 · 108 citationsRadiology. Artificial intelligence. 2021;3(2):e200254
Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features.33497881 · Wang, Lu, Kelly, Brendan, Lee, Edward H et al.2021 · 29 citationsEuropean journal of radiology. 2021;136:109552
Deep learning augments liver stiffness classification in children.33411023 · Halabi, Safwan S2021 · 1 citationPediatric radiology. 2021;51(3):381-382
Artificially Practical in Every Way.33153539 · Halabi, Safwan S2021 · 0 citationsJournal of the American College of Radiology : JACR. 2020;17(11):1361-1362
Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures.33094432 · Wang, Hongmei, Wang, Lu, Lee, Edward H et al.2021 · 95 citationsEuropean journal of nuclear medicine and molecular imaging. 2021;48(5):1478-1486
Sonographic Diagnosis of Velamentous and Marginal Placental Cord Insertion.30870317 · Kelley, Brendan P, Klochko, Chad L, Atkinson, Sarah et al.2021 · 15 citationsUltrasound quarterly. 2020;36(3):247-254
The Effect of Including Benchmark Prevalence Data of Common Imaging Findings in Spine Image Reports on Health Care Utilization Among Adults Undergoing Spine Imaging: A Stepped-Wedge Randomized Clinical Trial.32886121 · Jarvik, Jeffrey G, Meier, Eric N, James, Kathryn T et al.2021 · 54 citationsJAMA network open. 2020;3(9):e2015713
Erratum: Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.33939782 · Flanders, Adam E, Prevedello, Luciano M, Shih, George et al.2023 · 53 citationsRadiology. Artificial intelligence. 2020;2(4):e209002
Taking Matters into Your Own Hands.33939791 · Halabi, Safwan S2024 · 2 citationsRadiology. Artificial intelligence. 2020;2(4):e200150
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.33937827 · Flanders, Adam E, Prevedello, Luciano M, Shih, George et al.2023 · 215 citationsRadiology. Artificial intelligence. 2020;2(3):e190211
Erratum: Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis.31840097 · Patel, Bhavik N, Rosenberg, Louis, Willcox, Gregg et al.2020 · 7 citationsNPJ digital medicine. 2019;2:129
In fetuses with congenital lung masses, decreased ventricular and atrioventricular valve dimensions are associated with lesion size and clinical outcome.31742724 · Mardy, Christopher, Blumenfeld, Yair J, Arunamata, Alisa A et al.2021 · 6 citationsPrenatal diagnosis. 2020;40(2):206-215
Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge.32090207 · Pan, Ian, Thodberg, Hans Henrik, Halabi, Safwan S et al.2024 · 54 citationsRadiology. Artificial intelligence. 2019;1(6):e190053
Human-machine partnership with artificial intelligence for chest radiograph diagnosis.31754637 · Patel, Bhavik N, Rosenberg, Louis, Willcox, Gregg et al.2020 · 254 citationsNPJ digital medicine. 2019;2:111
Obstetric and neonatal outcomes in pregnancies complicated by fetal lung masses: does final histology matter?31722592 · Anderson, Jill N, Girsen, Anna I, Hintz, Susan R et al.2021 · 8 citationsThe journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians. 2021;34(22):3662-3668
Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.31173130 · Park, Allison, Chute, Chris, Rajpurkar, Pranav et al.2020 · 258 citationsJAMA network open. 2019;2(6):e195600
Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosis.31056440 · Zucker, Evan J, Barnes, Zachary A, Lungren, Matthew P et al.2021 · 43 citationsJournal of cystic fibrosis : official journal of the European Cystic Fibrosis Society. 2020;19(1):131-138
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions.33937783 · Prevedello, Luciano M, Halabi, Safwan S, Shih, George et al.2024 · 171 citationsRadiology. Artificial intelligence. 2019;1(1):e180031
Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia.33937785 · Shih, George, Wu, Carol C, Halabi, Safwan S et al.2021 · 341 citationsRadiology. Artificial intelligence. 2019;1(1):e180041
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison1901.07031v1 · Jeremy Irvin, Pranav Rajpurkar, Michael Ko et al.2019 · 2,972 citationsarXivon Valency
Deep Learning with Attention to Predict Gestational Age of the Fetal Brain1812.07102v1 · Liyue Shen, Katie Shpanskaya, Edward Lee et al.2018 · 9 citationsarXiv
The RSNA Pediatric Bone Age Machine Learning Challenge.30480490 · Halabi, Safwan S, Prevedello, Luciano M, Kalpathy-Cramer, Jayashree et al.2019 · 465 citationsRadiology. 2019;290(2):498-503
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.30481176 · Bien, Nicholas, Rajpurkar, Pranav, Ball, Robyn L et al.2019 · 733 citationsPLoS medicine. 2018;15(11):e1002699
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.30457988 · Rajpurkar, Pranav, Irvin, Jeremy, Ball, Robyn L et al.2019 · 1,447 citationsPLoS medicine. 2018;15(11):e1002686
Migrating to the Modern PACS: Challenges and Opportunities.30303805 · Berkowitz, Seth J, Wei, Jesse L, Halabi, Safwan2019 · 28 citationsRadiographics : a review publication of the Radiological Society of North America, Inc. 2018;38(6):1761-1772
Data Science: Big Data, Machine Learning, and Artificial Intelligence.29502583 · Carlos, Ruth C, Kahn, Charles E, Halabi, Safwan2019 · 70 citationsJournal of the American College of Radiology : JACR. 2018;15(3 Pt B):497-498
Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application-Part 2: From Clinical Implementation to Enterprise.29366598 · Shaikh, Faiq, Franc, Benjamin, Allen, Erastus et al.2019 · 10 citationsJournal of the American College of Radiology : JACR. 2018;15(3 Pt B):543-549
Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application-Part 1: From Methodology to Clinical Implementation.29366600 · Shaikh, Faiq, Franc, Benjamin, Allen, Erastus et al.2019 · 13 citationsJournal of the American College of Radiology : JACR. 2018;15(3 Pt B):538-542
Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs.29095675 · Larson, David B, Chen, Matthew C, Lungren, Matthew P et al.2018 · 456 citationsRadiology. 2018;287(1):313-322
Technical Challenges in the Clinical Application of Radiomics.30657374 · Shaikh, Faiq A, Kolowitz, Brian J, Awan, Omer et al.2019 · 36 citationsJCO clinical cancer informatics. 2017;1:1-8
Evaluating the Effect of Unstructured Clinical Information on Clinical Decision Support Appropriateness Ratings.28434848 · Moriarity, Andrew K, Green, Aaron, Klochko, Chad et al.2018 · 6 citationsJournal of the American College of Radiology : JACR. 2017;14(6):737-743
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