Improving the Quality of Point of Care Diagnostics with Real-Time Machine Learning in Low Literacy LMIC Settings. - Camilo E. Valderrama; Faezeh Marzbanrad; Lisa Stroux; Boris Martinez; Rachel Hall-Clifford; Chengyu Liu 001; Nasim Katebi; Peter Rohloff; Gari D. Clifford (COMPASS, 2018)

CNN-Based LCD Transcription of Blood Pressure From a Mobile Phone Camera. - Samruddhi S. Kulkarni; Nasim Katebi; Camilo E. Valderrama; Peter Rohloff; Gari D. Clifford (Frontiers Artif. Intell., 2021)

Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach. - Mohsen Motie Shirazi; Reza Sameni; Peter Rohloff; Nasim Katebi; Gari D. Clifford (CoRR, 2023)

Hierarchical Attentive Network for Gestational Age Estimation in Low-Resource Settings. - Nasim Katebi; Reza Sameni; Peter Rohloff; Gari D. Clifford (IEEE J. Biomed. Health Informatics, 2023)

Advancing Fetal Surveillance with Physiological Sensing: Detecting Hypoxia in Fetal Sheep. - Weitao Tang; Nhi Tran; Nasim Katebi; Reza Sameni; Gari D. Clifford; David Walker; Vaishnavi Horlali; Callum Taylor; Robert Galinsky; Faezeh Marzbanrad (IEEE SENSORS, 2024)

Edge AI for Real-time Fetal Assessment in Rural Guatemala. - Nasim Katebi; Mohammad Ahmad; Mohsen Motie Shirazi; Daniel Phan; Ellen Kolesnikova; Sepideh Nikookar; Alireza Rafiei; Murali K. Korikana; Rachel Hall-Clifford; Esteban Castro; Rosibely Sut; Enma Coyote; et al. (CoRR, 2025)

Auto-FEDUS: Autoregressive Generative Modeling of Doppler Ultrasound Signals from Fetal Electrocardiograms. - Alireza Rafiei; Gari D. Clifford; Nasim Katebi (CoRR, 2025)

Fetal Sleep: A Cross-Species Review of Physiology, Measurement, and Classification. - Weitao Tang; Johann Vargas-Calixto; Nasim Katebi; Robert Galinsky; Gari D. Clifford; Faezeh Marzbanrad (CoRR, 2025)