| Sequence to sequence ECG cardiac rhythm classification using convolutional recurrent neural networks T Pokaprakarn, RR Kitzmiller, R Moorman, DE Lake, AK Krishnamurthy, ... IEEE journal of biomedical and health informatics 26 (2), 572-580, 2021 | 55 | 2021 |
| AI estimation of gestational age from blind ultrasound sweeps in low-resource settings T Pokaprakarn, JC Prieto, JT Price, MP Kasaro, N Sindano, HR Shah, ... NEJM evidence 1 (5), EVIDoa2100058, 2022 | 32 | 2022 |
| 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 … AR Kahkoska, T Pokaprakarn, GR Alexander, TL Crume, D Dabelea, ... Diabetes Care 45 (1), 108-118, 2022 | 19 | 2022 |
| Weight management in young adults with type 1 diabetes: The advancing care for type 1 diabetes and obesity network sequential multiple assignment randomized trial pilot results D Igudesman, J Crandell, KD Corbin, DP Zaharieva, A Addala, ... Diabetes, Obesity and Metabolism 25 (3), 688-699, 2023 | 10 | 2023 |
| Design of the Advancing Care for Type 1 Diabetes and Obesity Network energy metabolism and sequential multiple assignment randomized trial nutrition pilot studies: An … KD Corbin, D Igudesman, A Addala, A Casu, J Crandell, MR Kosorok, ... Contemporary clinical trials 117, 106765, 2022 | 10 | 2022 |
| Deep learning to estimate gestational age from fly‐to cineloop videos: A novel approach to ultrasound quality control AV Viswanathan, T Pokaprakarn, MP Kasaro, HR Shah, JC Prieto, ... International Journal of Gynecology & Obstetrics 165 (3), 1013-1021, 2024 | 3 | 2024 |
| Deep learning to estimate gestational age from blind ultrasound sweeps of the gravid abdomen T Pokaprakarn, JC Prieto, JT Price, MP Kasaro, N Sindano, HR Shah, ... medRxiv, 2021.11. 22.21265452, 2021 | 3 | 2021 |
| Diagnostic accuracy of an integrated AI tool to estimate gestational age from blind ultrasound sweeps JSA Stringer, T Pokaprakarn, JC Prieto, B Vwalika, SV Chari, N Sindano, ... JAMA 332 (8), 649-657, 2024 | 1 | 2024 |
| Accuracy of portable ultrasound machines for obstetric biometry KJ Rittenhouse, B Vwalika, Y Sebastiao, T Pokaprakarn, N Sindano, ... Ultrasound in Obstetrics & Gynecology 63 (6), 772-780, 2024 | 1 | 2024 |
| Limiting adverse birth outcomes in resource-limited settings (LABOR): protocol of a prospective intrapartum cohort study A Adu-Amankwah, MB Bellad, AM Benson, TK Beyuo, M Bhandankar, ... Gates Open Research 6, 2022 | 1 | 2022 |
| 622 Deep learning to assess twin gestation from blindly obtained ultrasound sweeps AV Viswanathan, T Pokaprakarn, EM Stringer, M Foster, J Prieto, ... American Journal of Obstetrics & Gynecology 230 (1), S336, 2024 | | 2024 |
| SimNorth: A Novel Contrastive Learning Approach for Clustering Prenatal Ultrasound Images J Prieto, C Benabdelkader, T Pokaprakarn, H Shah, Y Sebastião, Q Dan, ... International Workshop on Advances in Simplifying Medical Ultrasound, 100-108, 2023 | | 2023 |
| Check for updates SimNorth: A Novel Contrastive Learning Approach for Clustering Prenatal Ultrasound Images J Prieto, C Benabdelkader, T Pokaprakarn, H Shah, Y Sebastião, Q Dan, ... Simplifying Medical Ultrasound: 4th International Workshop, ASMUS 2023, Held …, 2023 | | 2023 |
| 559-P: The Advancing Care for T1D Obesity Network (ACT1ON) Sequential Multiple Assignment Randomized Trial Pilot Results for Effect on Weight and Glycemia D Igudesman, J Crandell, T Pokaprakarn, K Corbin, DP Zaharieva, ... Diabetes 71 (Supplement_1), 2022 | | 2022 |
| 32-OR: The Advancing Care for T1D Obesity Network (ACT1ON) Sequential Multiple Assignment Randomized Trial Pilot Re-randomization Results D Igudesman, J Crandell, T Pokaprakarn, K Corbin, DP Zaharieva, ... Diabetes 71 (Supplement_1), 2022 | | 2022 |
| Machine Learning Methods for Modern Biomedical Data: Deep Learning and Reinforcement Learning in Precision Health T Pokaprakarn The University of North Carolina at Chapel Hill, 2021 | | 2021 |
| Comment: Models as Approximations NLB Freeman, X Jiang, OE Leete, DJ Luckett, TB Pokaprakarn, ... Statistical science: a review journal of the Institute of Mathematical …, 2019 | | 2019 |
| Discussion of Laber et al.“Optimal treatment allocations in space and time for on-line control of an emerging infectious disease” MT Lawson, H Cho, A Choudhury, Y Cui, X Jiang, T Pokaprakarn, ... Journal of the Royal Statistical Society. Series C, Applied statistics, 779, 2018 | | 2018 |
| Policy optimization approach in Reinforcement Learning TB Pokaprakarn Policy, 2018 | | 2018 |
| Design and Sample Size for SMART Studies M Kosorok, J Chen, M Chaudhari, A Choudhury, Y Cui, X Jiang, ... | | |
