Back

A deep learning framework for comprehensive segmentation of deep grey nuclei

2025-12-18 radiology and imaging Title + abstract only
View on medRxiv
Show abstract

BackgroundDeep grey matter structures such as the thalamus and basal nuclei are implicated in numerous neurological disorders, yet accurate segmentation of these structures from standard T1-weighted MRI remains challenging due to poor intra-subcortical contrast, long preprocessing pipelines, and fragmented toolsets. MethodsWe introduce THOMASINA a deep learning pipeline for comprehensive subcortical segmentation from standard T1-weighted (T1w) as well as white-matter-nulled (WMn) MRI. The metho...

Predicted journal destinations

1
Human Brain Mapping
53 training papers
#1 31.9%
2
NeuroImage: Clinical
77 training papers
Top 0.3% 13.2%
3
NeuroImage
36 training papers
Top 0.1% 10.0%
4
Scientific Reports
701 training papers
Top 22% 8.7%
5
Nature Communications
483 training papers
Top 14% 7.2%
6
Imaging Neuroscience
18 training papers
Top 0.3% 4.6%
7
Brain Communications
79 training papers
Top 6% 3.1%
8
Scientific Data
30 training papers
Top 0.5% 2.2%
9
PLOS ONE
1737 training papers
Top 91% 2.2%
10
Alzheimer's Research & Therapy
31 training papers
Top 3% 1.3%
11
Frontiers in Neuroscience
29 training papers
Top 5% 0.8%
12
eLife
262 training papers
Top 51% 0.8%
13
Annals of Neurology
43 training papers
Top 8% 0.8%
14
Journal of Alzheimer's Disease
31 training papers
Top 7% 0.5%
15
Cerebral Cortex
15 training papers
Top 2% 0.5%
16
Alzheimer's & Dementia
84 training papers
Top 10% 0.5%
17
Nature Medicine
88 training papers
Top 24% 0.5%
18
npj Digital Medicine
85 training papers
Top 25% 0.5%
19
eBioMedicine
82 training papers
Top 17% 0.5%
20
PLOS Computational Biology
141 training papers
Top 17% 0.5%
21
Neurobiology of Aging
29 training papers
Top 7% 0.5%
22
Frontiers in Neurology
74 training papers
Top 16% 0.5%
23
Computers in Biology and Medicine
39 training papers
Top 12% 0.5%