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IEEE Journal of Biomedical and Health Informatics|April 7, 2023
Hierarchical Attentive Network for Gestational Age Estimation in Low-Resource SettingsNasim Katebi, Reza Sameni, Peter Rohloff, et al.
Machine Learning. Health|November 20, 2025
Real-time quality feedback on Doppler data for community midwives using edge-AIMohsen Motie-Shirazi, Sepideh Nikookar, Mohammad Ahmad, et al.
IEEE Transactions on Bio-Medical Engineering|July 2, 2025
Next-Generation Fetal Heart Monitoring: Leveraging Neural Sequential Modeling for Ultrasound AnalysisAlireza Rafiei, Mohsen Motie-Shirazi, Reza Sameni, et al.
Frontiers in Artificial Intelligence|June 7, 2021
CNN-Based LCD Transcription of Blood Pressure From a Mobile Phone CameraSamruddhi S Kulkarni, Nasim Katebi, Camilo E Valderrama, et al.
The Open Pacing, Electrophysiology & Therapy Journal|May 27, 2011
A Review of Fetal ECG Signal Processing; Issues and Promising DirectionsReza Sameni, Gari D Clifford
Computing in Cardiology|July 11, 2026
Classification of the Source of 1D Doppler Ultrasound Activity in Fetal MonitoringJohann Vargas-Calixto, Rachel Beanland, Reza Sameni, et al.
Physiological Measurement|March 24, 2010
An artificial vector model for generating abnormal electrocardiographic rhythmsGari D Clifford, Shamim Nemati, Reza Sameni
Physiological Measurement|January 31, 2019
An open source autocorrelation-based method for fetal heart rate estimation from one-dimensional Doppler ultrasoundCamilo E Valderrama, Lisa Stroux, Nasim Katebi, et al.
BMJ Open|September 11, 2024
Mobil Monitoring Doppler Ultrasound (MoMDUS) study: protocol for a prospective, observational study investigating the use of artificial intelligence and low-cost Doppler ultrasound for the automated quantification of hypertension, pre-eclampsia and fetal growth restriction in rural GuatemalaEdlyn Ramos, Irma Piló Palax, Emily Serech Cuxil, et al.
Medrxiv : the Preprint Server for Health Sciences|December 16, 2024
Early Prediction of Hypertensive Disorders of Pregnancy Using Machine Learning and Medical Records from the First and Second TrimestersSeyedeh Somayyeh Mousavi, Kim Tierney, Chad Robichaux, et al.
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