Profil bibliographique

Teeranan Pokaprakarn

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

33Publications signalées

300Citations signalées

1Affiliations récentes

Institutions déclarées

University of North Carolina at Chapel Hill

Domaines associés

Diabetes Management and ResearchPregnancy and preeclampsia studiesGlobal Maternal and Child HealthFetal and Pediatric Neurological DisordersMaternal and Perinatal Health Interventions

Publications récentes

Accès ouvert 2026 articleOpenAlex

Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes

Ge Zhang, Farzana Bashir Ahmed, Arindam Maitra, Teeranan Pokaprakarn et autres

0 citationsCarolina Digital Repository (University of North Carolina at Chapel Hill)

Accès ouvert 2026 articleOpenAlex

Multi-Omics for Mothers and Infants (MOMI) Consortium: a global initiative to study adverse pregnancy outcomes

Xin Tang, Salahuddin Ahmed, Farzana Bashir Ahmed, Vincent Albrecht et autres

1 citationJournal of Global Health

Accès ouvert 2025 articleOpenAlex

Estimating due date in twin pregnancy by second‐ and third‐trimester ultrasound

Katelyn Rittenhouse, A. Viswanathan, Teeranan Pokaprakarn, Yuri V. Sebastião et autres

1 citationUltrasound in Obstetrics and Gynecology

Accès ouvert 2025 articleOpenAlex

The Impact of Racial and Ethnic Health Disparities in Diabetes Management on Clinical Outcomes: A Reinforcement Learning Analysis of Health Inequity Among Youth and Young Adults in the SEARCH for Diabetes in Youth Study.

Dana Dabelea, Anna R. Kahkoska, Jasmin Divers, Lawrence M. Dolan et autres

0 citationsCarolina Digital Repository (University of North Carolina at Chapel Hill)

2025 articleOpenAlex

Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps

Jeffrey S. A. Stringer, Teeranan Pokaprakarn, Juan Carlos Prieto, Bellington Vwalika et autres

1 citationObstetrical & Gynecological Survey

Accès ouvert 2024 articleOpenAlex

Sequence to Sequence ECG Cardiac Rhythm Classification Using Convolutional Recurrent Neural Networks

Rebecca Rutherford Kitzmiller, Doug Lake, Michael R. Kosorok, Ashok Krishnamurthy et autres

0 citationsCarolina Digital Repository (University of North Carolina at Chapel Hill)

Accès ouvert 2024 articleOpenAlex

Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps

Jeffrey S. A. Stringer, Teeranan Pokaprakarn, Juan Carlos Prieto, Bellington Vwalika et autres

41 citationsJAMA

Accès ouvert 2024 articleOpenAlex

Limiting adverse birth outcomes in resource-limited settings (LABOR): Protocol of a prospective intrapartum cohort study

Mbewe F.M, Dhaded S.M, Michael Valancius, Freeman B.L et autres

0 citationsCarolina Digital Repository (University of North Carolina at Chapel Hill)

Accès ouvert 2024 articleOpenAlex

Deep learning to estimate gestational age from fly‐to cineloop videos: A novel approach to ultrasound quality control

A. Viswanathan, Teeranan Pokaprakarn, Margaret P. Kasaro, Hina Shah et autres

9 citationsInternational Journal of Gynecology & Obstetrics

Accès ouvert 2024 articleOpenAlex

622 Deep learning to assess twin gestation from blindly obtained ultrasound sweeps

A. Viswanathan, Teeranan Pokaprakarn, Elizabeth M. Stringer, Molly Foster et autres

0 citationsAmerican Journal of Obstetrics and Gynecology

Accès ouvert 2023 articleOpenAlex

Accuracy of portable ultrasound machines for obstetric biometry

Katelyn Rittenhouse, Bellington Vwalika, Yuri V. Sebastião, Teeranan Pokaprakarn et autres

15 citationsUltrasound in Obstetrics and Gynecology

Accès ouvert 2023 peer-reviewOpenAlex

Peer Review Report For: Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study [version 2; peer review: 2 approved]

Amanda Adu-Amankwah, Mrutunjaya B. Bellad, Aimee M. Benson, Titus Beyuo et autres

0 citationsUniversity of Central Lancashire

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