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Nasim Katebi

Showing results (1-10 of 14) with videos related to

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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.
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.
Physiological Measurement|June 26, 2020
Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasoundNasim Katebi, Faezeh Marzbanrad, Lisa Stroux, 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.
Arxiv|September 29, 2025
Fetal Sleep: A Cross-Species Review of Physiology, Measurement, and ClassificationWeitao Tang, Johann Vargas-Calixto, Nasim Katebi, et al.
Sleep|January 14, 2026
Fetal Sleep: A Cross-Species Review of Physiology, Measurement, and ClassificationWeitao Tang, Johann Vargas-Calixto, Nasim Katebi, et al.
Journal of Electrocardiology|February 9, 2026
Toward self-validating ECG Systems: A personalized, uncertainty-aware approach for detecting and estimating lead misplacementAlireza Rafiei, Trisha Dwivedi, Joel Xue, 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.
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.
IEEE Journal of Biomedical and Health Informatics|April 8, 2026
FetalSleepNet: A Transfer Learning Framework with Spectral Equalisation Domain Adaptation for Fetal Sleep State ClassificationWeitao Tang, Johann Vargas-Calixto, Nasim Katebi, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
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.
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.
Physiological Measurement|June 26, 2020
Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasoundNasim Katebi, Faezeh Marzbanrad, Lisa Stroux, 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.
Arxiv|September 29, 2025
Fetal Sleep: A Cross-Species Review of Physiology, Measurement, and ClassificationWeitao Tang, Johann Vargas-Calixto, Nasim Katebi, et al.
Sleep|January 14, 2026
Fetal Sleep: A Cross-Species Review of Physiology, Measurement, and ClassificationWeitao Tang, Johann Vargas-Calixto, Nasim Katebi, et al.
Journal of Electrocardiology|February 9, 2026
Toward self-validating ECG Systems: A personalized, uncertainty-aware approach for detecting and estimating lead misplacementAlireza Rafiei, Trisha Dwivedi, Joel Xue, 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.
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.
IEEE Journal of Biomedical and Health Informatics|April 8, 2026
FetalSleepNet: A Transfer Learning Framework with Spectral Equalisation Domain Adaptation for Fetal Sleep State ClassificationWeitao Tang, Johann Vargas-Calixto, Nasim Katebi, et al.
Pageof 2