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Nasim Katebi
Nasim Katebi
Verified email at emory.edu
Title
Cited by
Cited by
Year
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
232018
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
222019
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
62021
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
52020
A review of fetal cardiac monitoring, with a focus on low-and middle-income countries
CEV Cuadros, N Katebi, F Marzbanrad, P Rohloff, GD Clifford
Physiological Measurement 15 (1), 1-12, 2020
42020
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, 2023
12023
Automated Image Transcription for Perinatal Blood Pressure Monitoring Using Mobile Health Technology
N Katebi, W Bremer, T Nguyen, D Phan, J Jeff, K Armstrong, ...
medRxiv, 2023.06. 16.23291435, 2023
12023
Deep Sequence Learning for Assessing Hypertension in Pregnancy from Doppler Signals
N Katebi, GD Clifford
medRxiv, 2022.01. 26.22269921, 2022
12022
Deep Sequence Learning for Accurate Gestational Age Estimation from a $25 Doppler Device
N Katebi, R Sameni, GD Clifford
arXiv preprint arXiv:2012.00553, 2020
12020
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
arXiv preprint arXiv:2312.09433, 2023
2023
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