Research Literature

Marini, T.J., et al., New Ultrasound Telediagnostic System for Low-Resource Areas. Journal of Ultrasound in Medicine, 2021. 40(3): p. 583-595.

Marini, T.J., et al., Testing telediagnostic thyroid ultrasound in Peru: a new horizon in expanding access to imaging in rural and underserved areas. Journal of Endocrinological Investigation, 2021.

Marini, T.J., et al., Lung ultrasound volume sweep imaging for respiratory illness: a new horizon in expanding imaging access. BMJ Open Respir Res, 2021. 8(1).

Marini, T., et al., Lung Ultrasound Volume Sweep Imaging for Pneumonia Detection in Rural Areas: Piloting Training in Rural Peru. Journal of Clinical Imaging Science, 2019. 9(35).

Marini, T.J., et al., Breast Ultrasound Volume Sweep Imaging: A New Horizon in Expanding Imaging Access for Breast Cancer Detection. J Ultrasound Med, 2022.

Erlick, M., et al., Assessment of a Brief Standardized Obstetric Ultrasound Training Program for Individuals Without Prior Ultrasound Experience. Ultrasound Q, 2022.

Marini, T.J., et al., Testing telediagnostic right upper quadrant abdominal ultrasound in Peru: A new horizon in expanding access to imaging in rural and underserved areas. PLoS One, 2021. 16(8): p. e0255919.

Toscano, M., et al., Testing telediagnostic obstetric ultrasound in Peru: a new horizon in expanding access to prenatal ultrasound. BMC Pregnancy and Childbirth, 2021. 21(1): p. 328.

Marini, T.J., et al., Volume sweep imaging lung teleultrasound for detection of COVID-19 in Peru: a multicentre pilot study. 2022. 12(10): p. e061332.

Marini, T.J., et al., Sustainable volume sweep imaging lung teleultrasound in Peru: Public health perspectives from a new frontier in expanding access to imaging. Front Health Serv, 2023. 3: p. 1002208..

Ochoa, E.J., et al. A comparison between Deep Learning architectures for the assessment of breast tumor segmentation using VSI ultrasound protocol. in 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2024. IEEE.

Arroyo, J., et al., No sonographer, no radiologist: New system for automatic prenatal detection of fetal biometry, fetal presentation, and placental location. PLOS ONE, 2022. 17(2): p. e0262107.

Marini, T.J., et al., No sonographer, no radiologist: Assessing accuracy of artificial intelligence on breast 327. 28. 29. 30. 31. 32. ultrasound volume sweep imaging scans. PLOS Digital Health, 2022. 1(11): p. e0000148.

Romero, S.E., E.J. Ochoa, and B. Castaneda. Automatic region of interest detection as a complement for reverberant shear wave elastography assessment in foot. in 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM). 2023. IEEE.

Angeles, H.A., et al. Comparison of Training Strategies Using YOLOv8 for Automatic Region of Interest Selection and Landmark Identification in Foot Ultrasound. in IFMBE Latin American Conference on Digital Health. 2024. Springer.

Ochoa, E.J., et al., No Sonographer, no Radiologist: An AI-enabled Comprehensive Breast Ultrasound Diagnostic System for Low-Resource Settings. Preprint, 2025.

Ochoa, E.J., et al., Automated Fetal and Placenta Localization with Fetal Biometry Estimation using Obstetric Volume Sweep Imaging in Rural Areas. Preprint, 2025.

Ochoa, E.J., et al., Standardizing Obstetric Ultrasound Segmentation Using Unpaired Domain Translation Techniques. IEEE International Ultrasonics Symposium, 2025.

Ochoa, E.J., et al., First Exploration of H-scan Ultrasound Imaging in Diabetic Foot: A Feasibility Study. IEEE International Ultrasonics Symposium, 2025.