Back

Normative volumetric growth modeling of the whole fetal body, placenta and amniotic fluid for 3-dimensional T2-weighted magnetic resonance imaging

2026-01-23 pediatrics Title + abstract only
View on medRxiv
Show abstract

BackgroundVolumetric assessment of the fetus, placenta and amniotic fluid is clinically valuable, but MRI volumetry is rarely performed in clinical practice because of the required labour-intensive manual segmentation of motion-corrupted 2-dimensional (2-D) stacks. Existing deep-learning approaches typically segment single structures in 2-D motion-corrupted stacks, are, however limited in accuracy by slice misalignment. No current method provides a reliable automated solution for whole-uterus vo...

Predicted journal destinations

1
Scientific Reports
701 training papers
Top 9% 14.0%
2
PLOS ONE
1737 training papers
Top 68% 7.5%
3
Pediatric Research
15 training papers
Top 0.6% 6.2%
4
NeuroImage: Clinical
77 training papers
Top 2% 6.2%
5
BMJ Open
553 training papers
Top 27% 6.2%
6
BMJ Paediatrics Open
20 training papers
Top 2% 3.7%
7
Journal of the American Heart Association
92 training papers
Top 7% 3.7%
8
Frontiers in Pediatrics
24 training papers
Top 1% 3.7%
9
PLOS Digital Health
88 training papers
Top 7% 3.7%
10
Archives of Disease in Childhood
15 training papers
Top 1% 3.4%
11
The Journal of Pediatrics
15 training papers
Top 1.0% 2.7%
12
Nature Communications
483 training papers
Top 33% 2.7%
13
Human Brain Mapping
53 training papers
Top 4% 1.9%
14
JAMA Network Open
125 training papers
Top 10% 1.9%
15
Nature Medicine
88 training papers
Top 3% 1.9%
16
Journal of Clinical Medicine
77 training papers
Top 12% 1.5%
17
Frontiers in Neuroscience
29 training papers
Top 2% 1.5%
18
Pediatric Infectious Disease Journal
16 training papers
Top 2% 1.3%
19
Journal of the American Medical Informatics Association
53 training papers
Top 6% 1.3%
20
npj Digital Medicine
85 training papers
Top 14% 1.3%
21
eLife
262 training papers
Top 36% 1.3%
22
BMJ Global Health
95 training papers
Top 17% 0.9%
23
Hypertension
20 training papers
Top 6% 0.7%
24
BMC Medicine
155 training papers
Top 37% 0.7%
25
Cell Reports Medicine
49 training papers
Top 8% 0.7%
26
PLOS Medicine
95 training papers
Top 25% 0.7%
27
NeuroImage
36 training papers
Top 7% 0.7%
28
Annals of Neurology
43 training papers
Top 8% 0.7%