| Improving the quality of point of care diagnostics with real-time machine learning in low literacy LMIC settings CE Valderrama, F Marzbanrad, L Stroux, B Martinez, R Hall-Clifford, C Liu, ... Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018 | 27 | 2018 |
| An open source autocorrelation-based method for fetal heart rate estimation from one-dimensional Doppler ultrasound CE Valderrama, L Stroux, N Katebi, E Paljug, R Hall-Clifford, P Rohloff, ... Physiological measurement 40 (2), 025005, 2019 | 25 | 2019 |
| A review of fetal cardiac monitoring, with a focus on low-and middle-income countries CE Valderrama, N Ketabi, F Marzbanrad, P Rohloff, GD Clifford Physiological measurement 41 (11), 11TR01, 2020 | 24* | 2020 |
| CNN-based LCD transcription of blood pressure from a mobile phone camera SS Kulkarni, N Katebi, CE Valderrama, P Rohloff, GD Clifford Frontiers in Artificial Intelligence 4, 543176, 2021 | 8 | 2021 |
| Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasound N Katebi, F Marzbanrad, L Stroux, CE Valderrama, GD Clifford Physiological measurement 41 (8), 085007, 2020 | 7 | 2020 |
| Hierarchical attentive network for gestational age estimation in low-resource settings N Katebi, R Sameni, P Rohloff, GD Clifford IEEE journal of biomedical and health informatics 27 (5), 2501-2511, 2023 | 4 | 2023 |
| Automated image transcription for perinatal blood pressure monitoring using mobile health technology N Katebi, W Bremer, T Nguyen, D Phan, J Jeff, K Armstrong, ... PLOS Digital Health 3 (10), e0000588, 2024 | 2 | 2024 |
| Mobil Monitoring Doppler Ultrasound (MoMDUS) study: protocol for a prospective, observational study investigating the use of artificial intelligence and low-cost Doppler … E Ramos, IP Palax, ES Cuxil, ES Iquic, AC Ajqui, AC Miller, ... BMJ open 14 (9), e090503, 2024 | 1 | 2024 |
| Deep sequence learning for assessing hypertension in pregnancy from Doppler signals N Katebi, GD Clifford medRxiv, 2022.01. 26.22269921, 2022 | 1 | 2022 |
| Deep Sequence Learning for Accurate Gestational Age Estimation from a $25 Doppler Device N Katebi, R Sameni, GD Clifford Neurips Workshop, 2020 | 1 | 2020 |
| Early Prediction of Hypertensive Disorders of Pregnancy Using Machine Learning and Medical Records from the First and Second Trimesters SS Mousavi, K Tierney, C Robichaux, SL Boulet, C Franklin, ... medRxiv, 2024.11. 21.24317720, 2024 | | 2024 |
| Advancing Fetal Surveillance with Physiological Sensing: Detecting Hypoxia in Fetal Sheep W Tang, N Tran, N Katebi, R Sameni, GD Clifford, D Walker, V Horlali, ... 2024 IEEE SENSORS, 1-4, 2024 | | 2024 |
| Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach M Motie-Shirazi, R Sameni, P Rohloff, N Katebi, GD Clifford Conference on Machine Learning for Health (ML4H), 2023 | | 2023 |
Gari CliffordProfessor of Biomed Eng & Biomed Inform, Emory University and Georgia Institute of TechnologyBestätigte E-Mail-Adresse bei physionet.org