JS
Jayne Seekins
Computer scienceDeep LearningInternship and ResidencyMRIRadiographyRadiologyultrasoundapplicationartificial intelligenceArtificial Intelligence
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
20 papers in the corpus · 2008–2024Status of LGBTQ+ Inclusion Using a Multi-Institution Assessment of US Radiology Residencies.39216783 · Perchik, Jordan D, Maxfield, Charles M, Mills, Megan et al.2025 · 3 citationsJournal of the American College of Radiology : JACR. 2025;22(1):108-115
Characterizing continuous positive airway pressure (CPAP) Belly Syndrome in preterm infants in the neonatal intensive care unit (NICU).38448640 · Gu, Hannah, Seekins, Jayne, Ritter, Victor et al.2024 · 8 citationsJournal of perinatology : official journal of the California Perinatal Association. 2024;44(9):1269-1275
The Influence of Extracurricular Activities on Radiology Resident Selection Decisions.37922965 · Maxfield, Charles M, Montano-Campos, J Felipe, Gould, Jennifer et al.2024 · 4 citationsJournal of the American College of Radiology : JACR. 2024;21(6):949-958
Improved Detection of Bone Metastases in Children and Young Adults with Ferumoxytol-enhanced MRI.36999999 · Rashidi, Ali, Baratto, Lucia, Theruvath, Ashok Joseph et al.2023 · 14 citationsRadiology. Imaging cancer. 2023;5(2):e220080
Brain Tumor Radiogenomic Classification of O6-Methylguanine-DNA Methyltransferase Promoter Methylation in Malignant Gliomas-Based Transfer Learning.37078100 · Sakly, Houneida, Said, Mourad, Seekins, Jayne et al.2023 · 16 citationsCancer control : journal of the Moffitt Cancer Center. 2023;30:10732748231169149
Imaging of pediatric ovarian tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper.36184758 · Behr, Gerald G, Morani, Ajaykumar C, Artunduaga, Maddy et al.2023 · 14 citationsPediatric blood & cancer. 2023;70 Suppl 4:e29995
Imaging of pediatric testicular tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper.36184829 · Behr, Gerald G, Morani, Ajaykumar C, Artunduaga, Maddy et al.2023 · 5 citationsPediatric blood & cancer. 2023;70 Suppl 4:e29988
Machine learning approach to differentiation of peripheral schwannomas and neurofibromas: A multi-center study.34487172 · Zhang, Michael, Tong, Elizabeth, Wong, Sam et al.2022 · 22 citationsNeuro-oncology. 2022;24(4):601-609
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
Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter Study.34131749 · Zhang, Michael, Tong, Elizabeth, Hamrick, Forrest et al.2021 · 20 citationsNeurosurgery. 2021;89(3):509-517
Benchmarking saliency methods for chest X-ray interpretation10.1101/2021.02.28.21252634v4 · Saporta, A., Gui, X., Agrawal, A. et al.2021 · 267 citationsmedRxiv
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT.33514852 · Lee, Edward H, Zheng, Jimmy, Colak, Errol et al.2023 · 50 citationsNPJ digital medicine. 2021;4(1):11
Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study.32816765 · Quon, J L, Bala, W, Chen, L C et al.2020 · 76 citationsAJNR. American journal of neuroradiology. 2020;41(9):1718-1725
Differentiation of benign and malignant lymph nodes in pediatric patients on ferumoxytol-enhanced PET/MRI.32206111 · Muehe, Anne Monika, Siedek, Florian, Theruvath, Ashok Joseph et al.2021 · 34 citationsTheranostics. 2020;10(8):3612-3621
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
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
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
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 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
Utility of total lower extremity radiography investigation of nonweight bearing in the young child.18316353 · Baron, Christopher M, Seekins, Jayne, Hernanz-Schulman, Marta et al.2008 · 4 citationsPediatrics. 2008;121(4):e817-20
Career total: 36 works. 20 are in this corpus.
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