Nasim Katebi

Also affiliated with Woodruff Health Sciences Center

Medicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 11 papers. Top paper: “Hierarchical Attentive Network for Gestational Age Estimation in Low-Resource Settings”.

Hierarchical Attentive Network for Gestational Age Estimation in Low-Resource Settings

IEEE Journal of Biomedical and Health Informatics(2023)10.1109/jbhi.2023.3246931

N/A

0.330DataRank · unranked

8 citations

Reza Sameni, Peter Rohloff, Gari D. Clifford, Nasim Katebi

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 Guatemala

BMJ Open(2024)10.1136/bmjopen-2024-090503

N/A

0.241DataRank · unranked

4 citations

Irma Piló Palax, Emily Serech Cuxil, Elsa Sebaquijay Iquic, Ana Canú Ajqui, Ann C. Miller +7 more

Automated image transcription for perinatal blood pressure monitoring using mobile health technology

PLOS Digital Health(2024)10.1371/journal.pdig.0000588

N/A

0.208DataRank · unranked

3 citations

Whitney Bremer, Tony Nguyen, Daniel Phan, Jamila Jeff, K. R. Armstrong +9 more

Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach

arXiv (Cornell University)(2023)10.48550/arxiv.2312.09433

N/A

0.104DataRank · unranked

1 citations

Reza Sameni, Peter Rohloff, Nasim Katebi, Gari D. Clifford, Mohsen Motie-Shirazi

Next-Generation Fetal Heart Monitoring: Leveraging Neural Sequential Modeling for Ultrasound Analysis

IEEE Transactions on Biomedical Engineering(2025)10.1109/tbme.2025.3585461

N/A

0DataRank · unranked

2 citations

Mohsen Motie-Shirazi, Reza Sameni, Gari D. Clifford, Nasim Katebi, Alireza Rafiei

A Mobile Health Approach for Monitoring Hypertensive and Mental Health Conditions to Avoid Preventable Delays in Postpartum Care

medRxiv(2025)10.1101/2025.10.03.25337009

N/A

0DataRank · unranked

0 citations

Daniel Phan, Chad Robichaux, Marcia Watson, Kimberly Carroll, Banafsheh Shoai +7 more

CNN-Based LCD Transcription of Blood Pressure From a Mobile Phone Camera

Frontiers in Artificial Intelligence(2021)10.3389/frai.2021.543176

N/A

0DataRank · unranked

15 citations

Nasim Katebi, Camilo E. Valderrama, Peter Rohloff, Gari D. Clifford, Samruddhi Shreeram Kulkarni

Real-time quality feedback on Doppler data for community midwives using edge-AI

Machine Learning Health(2025)10.1088/3049-477x/ae1bad

N/A

0DataRank · unranked

0 citations

Sepideh Nikookar, Mohammad Ahmad, Alireza Rafiei, Reza Sameni, Peter Rohloff +3 more

Deep Sequence Learning for Assessing Hypertension in Pregnancy from Doppler Signals

medRxiv(2022)10.1101/2022.01.26.22269921

N/A

0DataRank · unranked

1 citations

Gari D. Clifford, Nasim Katebi

Automated Image Transcription for Perinatal Blood Pressure Monitoring Using Mobile Health Technology

medRxiv(2023)10.1101/2023.06.16.23291435

N/A

0DataRank · unranked

2 citations

Whitney Bremer, Tony Nguyen, Daniel Phan, Jamila Jeff, K. R. Armstrong +9 more

Early Prediction of Hypertensive Disorders of Pregnancy Using Machine Learning and Medical Records from the First and Second Trimesters

medRxiv(2024)10.1101/2024.11.21.24317720

N/A

0DataRank · unranked

1 citations

Kim Tierney, Chad Robichaux, Sheree L. Boulet, Cheryl Franklin, Suchitra Chandrasekaran +4 more