Direct estimation of fetal biometry measurements from ultrasound video scans through deep learning

Szymon Płotka; Karol Pustelnik; Paula Szenejko; Kinga Żebrowska; Iga Rzucidło-Szymańska; Natalia Szymecka-Samaha; Tomasz Łęgowik; Katarzyna Kosińska-Kaczyńska; Przemysław Korzeniowski; Piotr Biliński; Asma Khalil; Robert Brawura-Biskupski-Samaha; Ivana Išgum; Clara. I. Sánchez; Arkadiusz Sitek

doi:10.1016/j.ajogmf.2025.101623

Direct estimation of fetal biometry measurements from ultrasound video scans through deep learning

Szymon Płotka
, Karol Pustelnik
, Paula Szenejko
, Kinga Żebrowska
, Iga Rzucidło-Szymańska
, Natalia Szymecka-Samaha
, Tomasz Łęgowik
, Katarzyna Kosińska-Kaczyńska
, Przemysław Korzeniowski
, Piotr Biliński
, Asma Khalil
, Robert Brawura-Biskupski-Samaha
, Ivana Išgum
, Clara. I. Sánchez
, Arkadiusz Sitek^*

^*Corresponding author for this work

Sano Centre for Computational Medicine
University of Amsterdam
Amsterdam UMC - University of Amsterdam
University of Warsaw
Medical University of Warsaw
Medical Centre for Postgraduate Education, Warsaw
Oncology Center of Radom
University of London
Massachusetts General Hospital
Harvard University

Research output: Contribution to journal › Comment/Letter to the editor › Academic

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Original language	English
Article number	101623
Journal	American Journal of Obstetrics and Gynecology MFM
Volume	7
Issue number	4
DOIs	https://doi.org/10.1016/j.ajogmf.2025.101623
Publication status	Published - 1 Apr 2025

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10.1016/j.ajogmf.2025.101623

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Płotka, S., Pustelnik, K., Szenejko, P., Żebrowska, K., Rzucidło-Szymańska, I., Szymecka-Samaha, N., Łęgowik, T., Kosińska-Kaczyńska, K., Korzeniowski, P., Biliński, P., Khalil, A., Brawura-Biskupski-Samaha, R., Išgum, I., Sánchez, C. I., & Sitek, A. (2025). Direct estimation of fetal biometry measurements from ultrasound video scans through deep learning. American Journal of Obstetrics and Gynecology MFM, 7(4), Article 101623. https://doi.org/10.1016/j.ajogmf.2025.101623

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title = "Direct estimation of fetal biometry measurements from ultrasound video scans through deep learning",

author = "Szymon P{\l}otka and Karol Pustelnik and Paula Szenejko and Kinga {\.Z}ebrowska and Iga Rzucid{\l}o-Szyma{\'n}ska and Natalia Szymecka-Samaha and Tomasz {\L}{\c e}gowik and Katarzyna Kosi{\'n}ska-Kaczy{\'n}ska and Przemys{\l}aw Korzeniowski and Piotr Bili{\'n}ski and Asma Khalil and Robert Brawura-Biskupski-Samaha and Ivana I{\v s}gum and S{\'a}nchez, \{Clara. I.\} and Arkadiusz Sitek",

year = "2025",

month = apr,

day = "1",

doi = "10.1016/j.ajogmf.2025.101623",

language = "English",

volume = "7",

journal = "American Journal of Obstetrics and Gynecology MFM",

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Płotka, S, Pustelnik, K, Szenejko, P, Żebrowska, K, Rzucidło-Szymańska, I, Szymecka-Samaha, N, Łęgowik, T, Kosińska-Kaczyńska, K, Korzeniowski, P, Biliński, P, Khalil, A, Brawura-Biskupski-Samaha, R, Išgum, I, Sánchez, CI & Sitek, A 2025, 'Direct estimation of fetal biometry measurements from ultrasound video scans through deep learning', American Journal of Obstetrics and Gynecology MFM, vol. 7, no. 4, 101623. https://doi.org/10.1016/j.ajogmf.2025.101623

TY - JOUR

T1 - Direct estimation of fetal biometry measurements from ultrasound video scans through deep learning

AU - Płotka, Szymon

AU - Pustelnik, Karol

AU - Szenejko, Paula

AU - Żebrowska, Kinga

AU - Rzucidło-Szymańska, Iga

AU - Szymecka-Samaha, Natalia

AU - Łęgowik, Tomasz

AU - Kosińska-Kaczyńska, Katarzyna

AU - Korzeniowski, Przemysław

AU - Biliński, Piotr

AU - Khalil, Asma

AU - Brawura-Biskupski-Samaha, Robert

AU - Išgum, Ivana

AU - Sánchez, Clara. I.

AU - Sitek, Arkadiusz

PY - 2025/4/1

Y1 - 2025/4/1

UR - https://www.scopus.com/pages/publications/85218992051

U2 - 10.1016/j.ajogmf.2025.101623

DO - 10.1016/j.ajogmf.2025.101623

M3 - Comment/Letter to the editor

C2 - 39900243

SN - 2589-9333

VL - 7

JO - American Journal of Obstetrics and Gynecology MFM

JF - American Journal of Obstetrics and Gynecology MFM

IS - 4

M1 - 101623

ER -

Direct estimation of fetal biometry measurements from ultrasound video scans through deep learning

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