Publications

A decade of collaborative research

Over the past decade, the Fraiya team has led together to advance AI in prenatal ultrasound. These publications reflect the shared research and collaboration behind that journey.
March 27, 2025

AI to Assist in the Fetal Anomaly Ultrasound Scan: A Randomized Controlled Trial

Day, T.G., Matthew, J., Budd, S.F., Farruggia, A., Venturini, L., Wright, R., Jamshidi, B., To, M., Ling, H., Lai, J., Tan, M.Y., Brown, M., Guy, G., Casagrandi, D., Arechvo, A., Syngelaki, A., Lloyd, D., Zidere, V., Vigneswaran, T. and Miller, O.
NEJM AI, 2(4). doi:https://doi.org/10.1056/aioa2400747
February 6, 2025

Video Clip Extraction From Fetal Ultrasound Scans Using Artificial Intelligence to Allow Remote Second Expert Review for Congenital Heart Disease

Day, T.G., Venturini, L., Budd, S.F., Farruggia, A., Wright, R., Matthew, J., Zidere, V., Vigneswaran, T., Bo, I., Savis, A., Wolfenden, J., Simpson, J., Hajnal, J., Kainz, B. and Razavi, R.
Prenatal Diagnosis. doi:https://doi.org/10.1002/pd.6757
January 11, 2025

Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans.

Venturini, L., Budd, S., Farruggia, A., Wright, R., Matthew, J., Day, T.G., Kainz, B., Razavi, R. and Hajnal, J.V.
npj Digital Medicine, 8(1). doi:https://doi.org/10.1038/s41746-024-01406-z.
September 30, 2023

Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?

Day, T.G., Budd, S., Tan, J., Matthew, J., Skelton, E., Jowett, V., Lloyd, D., Gomez, A., Hajnal, J.V., Razavi, R., Kainz, B. and Simpson, J.M.
Prenatal Diagnosis. doi:https://doi.org/10.1002/pd.6445.
January 1, 2022

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time

Matthew, J., Skelton, E., Day, T.G., Zimmer, V.A., Gomez, A., Wheeler, G., Toussaint, N., Liu, T., Budd, S., Lloyd, K.G., Wright, R., Deng, S., Ghavami, N., Sinclair, M., Meng, Q., Kainz, B., Schnabel, J.A., Rueckert, D., Razavi, R. and Simpson, J.
Prenatal Diagnosis, 42(1), pp.49–59. doi:https://doi.org/10.1002/pd.6059
July 6, 2021

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Budd, S., Sinclair, M., Day, T., Vlontzos, A., Tan, J., Liu, T., Matthew, J., Skelton, E., Simpson, J., Razavi, R., Glocker, B., Rueckert, D., Robinson, E.C. and Kainz, B.
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps
May 19, 2020

Ultrasound Video Summarization using Deep Reinforcement Learning

Liu, T., Meng, Q., Vlontzos, A., Tan, J., Rueckert, D. and Kainz, B.
doi: 2005.09531
October 10, 2019

Confident Head Circumference Measurement from Ultrasound with Real-Time Feedback for Sonographers

Budd, S., Sinclair, M., Khanal, B., Matthew, J., Lloyd, D., Gomez, A., Toussaint, N., Robinson, E.C. and Kainz, B.
Lecture Notes in Computer Science, pp.683–691. doi:https://doi.org/10.1007/978-3-030-32251-9_75
August 7, 2019

Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers

Budd, S., Sinclair, M., Khanal, B., Matthew, J., Lloyd, D., Gomez, A., Toussaint, N., Robinson, E.C. and Kainz, B.
doi: 1908.02582
July 11, 2017

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

Baumgartner, C.F., Kamnitsas, K., Matthew, J., Fletcher, T.P., Smith, S., Koch, L.M., Kainz, B. and Rueckert, D.
IEEE Transactions on Medical Imaging, 36(11), pp.2204–2215. doi:https://doi.org/10.1109/tmi.2017.2712367.