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)

A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population. - Camilo E. Valderrama; Faezeh Marzbanrad; Rachel Hall-Clifford; Peter Rohloff; Gari D. Clifford (Frontiers Artif. Intell., 2020)

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)

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)