BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery-Reference-Cited by-同舟云学术

BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery

Published:2023-12 Issue: Volume:167 Page:107602
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Płotka Szymon^ORCID,Grzeszczyk Michal K.,Brawura-Biskupski-Samaha Robert^ORCID,Gutaj Paweł,Lipa Michał,Trzciński Tomasz,Išgum Ivana^ORCID,Sánchez Clara I.,Sitek Arkadiusz

Funder

Horizon 2020

National Institutes of Health

European Commission

Nvidia

Fundacja na rzecz Nauki Polskiej

European Regional Development Fund

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference53 articles.

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2. Intra-and interobserver variability in fetal ultrasound measurements;Sarris;Ultrasound Obstet. Gynecol.,2012

3. Management of fetal growth restriction;Alberry;Arch. Dis. Child.-Fetal Neonatal Ed.,2007

4. ISUOG practice guidelines: ultrasound assessment of fetal biometry and growth;Salomon;Ultrasound Obstet. Gynecol.,2019

5. Sonographically estimated fetal weights: accuracy and limitation;Benacerraf;Am. J. Obstet. Gynecol.,1988

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1. Ultrasound Image Analysis with Vision Transformers—Review;Diagnostics;2024-03-04

2. Multimodal Early Birth Weight Prediction Using Multiple Kernel Learning;Sensors;2023-12-19