Devasuda Anblagan
Devasuda Anblagan
Image Analysis Research Fellow, University of Edinburgh
Verified email at
Cited by
Cited by
Maternal smoking during pregnancy and fetal organ growth: a magnetic resonance imaging study
D Anblagan, NW Jones, C Costigan, AJJ Parker, K Allcock, R Aleong, ...
PloS one 8 (7), e67223, 2013
Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: a systematic review
E Pellegrini, L Ballerini, MCV Hernandez, FM Chappell, ...
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 10, 519-535, 2018
Association between preterm brain injury and exposure to chorioamnionitis during fetal life
D Anblagan, R Pataky, MJ Evans, EJ Telford, A Serag, S Sparrow, ...
Scientific reports 6 (1), 1-9, 2016
Epigenomic profiling of preterm infants reveals DNA methylation differences at sites associated with neural function
S Sparrow, JR Manning, J Cartier, D Anblagan, ME Bastin, C Piyasena, ...
Translational psychiatry 6 (1), e716-e716, 2016
Whole brain magnetic resonance image atlases: a systematic review of existing atlases and caveats for use in population imaging
DA Dickie, SD Shenkin, D Anblagan, J Lee, M Blesa Cabez, D Rodriguez, ...
Frontiers in neuroinformatics 11, 1, 2017
Prenatal methadone exposure is associated with altered neonatal brain development
VJ Monnelly, D Anblagan, A Quigley, MB Cabez, ES Cooper, H Mactier, ...
NeuroImage: Clinical 18, 9-14, 2018
Early breast milk exposure modifies brain connectivity in preterm infants
M Blesa, G Sullivan, D Anblagan, EJ Telford, AJ Quigley, SA Sparrow, ...
Neuroimage 184, 431-439, 2019
Measurement of fetal fat in utero in normal and diabetic pregnancies using magnetic resonance imaging
D Anblagan, R Deshpande, NW Jones, C Costigan, G Bugg, ...
Ultrasound in Obstetrics & Gynecology 42 (3), 335-340, 2013
A latent measure explains substantial variance in white matter microstructure across the newborn human brain
EJ Telford, SR Cox, S Fletcher-Watson, D Anblagan, S Sparrow, R Pataky, ...
Brain Structure and Function 222 (9), 4023-4033, 2017
Parcellation of the healthy neonatal brain into 107 regions using atlas propagation through intermediate time points in childhood
M Blesa, A Serag, AG Wilkinson, D Anblagan, EJ Telford, R Pataky, ...
Frontiers in neuroscience 10, 220, 2016
SEGMA: an automatic segmentation approach for human brain MRI using sliding window and random forests
A Serag, AG Wilkinson, EJ Telford, R Pataky, SA Sparrow, D Anblagan, ...
Frontiers in neuroinformatics 11, 2, 2017
Tract shape modeling detects changes associated with preterm birth and neuroprotective treatment effects
D Anblagan, ME Bastin, S Sparrow, C Piyasena, R Pataky, EJ Moore, ...
NeuroImage: Clinical 8, 51-58, 2015
Coupled changes in hippocampal structure and cognitive ability in later life
D Anblagan, MC Valdés Hernández, SJ Ritchie, BS Aribisala, NA Royle, ...
Brain and behavior 8 (2), e00838, 2018
Metric to quantify white matter damage on brain magnetic resonance images
MDCV Hernández, FM Chappell, SM Maniega, DA Dickie, NA Royle, ...
Neuroradiology 59 (10), 951-962, 2017
Associations between hippocampal morphology, diffusion characteristics, and salivary cortisol in older men
SR Cox, MCV Hernández, J Kim, NA Royle, SE MacPherson, ...
Psychoneuroendocrinology 78, 151-158, 2017
Hippocampal morphology and cognitive functions in community-dwelling older people: the Lothian Birth Cohort 1936
MCV Hernández, SR Cox, J Kim, NA Royle, SM Maniega, AJ Gow, ...
Neurobiology of aging 52, 1-11, 2017
Longitudinal serum S100β and brain aging in the Lothian Birth Cohort 1936
SR Cox, M Allerhand, SJ Ritchie, SM Maniega, MV Hernández, SE Harris, ...
Neurobiology of aging 69, 274-282, 2018
Brain structural differences between 73-and 92-year olds matched for childhood intelligence, social background, and intracranial volume
SJ Ritchie, DA Dickie, SR Cox, MCV Hernández, R Sibbett, A Pattie, ...
Neurobiology of aging 62, 146-158, 2018
Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group
SD Shenkin, C Pernet, TE Nichols, JB Poline, PM Matthews, ...
Neuroimage 153, 399-409, 2017
Machine learning of neuroimaging to diagnose cognitive impairment and dementia: a systematic review and comparative analysis
E Pellegrini, L Ballerini, MCV Hernandez, FM Chappell, ...
arXiv preprint arXiv:1804.01961, 2018
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