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About me

I have a computer science degree with PhD in medical science focused on medical imaging and medical image processing, with strong knowledge of Arteficial Intelligence, Machine learning.

At the moment, I am a research fellow at VU university Amsterdam and affiliated to the Division of Clinical Geriatrics

Research description

My research interest is developing and usage of brain MR image processing methods in order to facilitate detection and monitoring Alzheimer’s Disease (AD) and Multiple Sclerosis (MS).

At the moment, I am developing a crowdsourcing platform for distributed segmentation of white matter lesions in collaboration with ECTRIMS ( and MAGNIMS (

I've studied the combined effects of White matter and Gray matter changes in progression of AD. I've also involved in a European grid based image analysis platform (

During my works at KI, I've developed the CASCADE (, for segmentation of the so-called white matter lesions. The software is now being used by several groups in Sweden, Norway, Finland, England, the Netherlands, and Spain.


Quantitative and qualitative MRI evaluation of cerebral small vessel disease in an elderly population: a longitudinal study
Nylander R, Fahlström M, Rostrup E, Kullberg J, Damangir S, Ahlström H, et al
Acta radiologica (Stockholm, Sweden : 1987) 2018;59(5):612-618

Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study
Magnims Study Group And For Neugrid, De Sitter A, Steenwijk Md, Ruet A, Versteeg A, Liu Y, et al
NeuroImage 2017;163():106-114

Reproducible segmentation of white matter hyperintensities using a new statistical definition
Damangir S, Westman E, Simmons A, Vrenken H, Wahlund Lo, Spulber G
Magma (New York, N.Y.) 2017;30(3):227-237

Reproducibility of hippocampal atrophy rates measured with manual, FreeSurfer, AdaBoost, FSL/FIRST and the MAPS-HBSI methods in Alzheimer's disease
Alzheimer's Disease Neuroimaging Initiative Neugrid, Cover Ks, Van Schijndel Ra, Versteeg A, Leung Kk, Mulder Er, et al
Psychiatry research. Neuroimaging 2016;252():26-35

Corpus callosum atrophy is strongly associated with cognitive impairment in multiple sclerosis: Results of a 17-year longitudinal study
Granberg T, Martola J, Bergendal G, Shams S, Damangir S, Aspelin P, et al
Multiple sclerosis (Houndmills, Basingstoke, England) 2015;21(9):1151-8

Cortical thickness and surface area relate to specific symptoms in early relapsing-remitting multiple sclerosis
Nygaard Go, Walhovd Kb, Sowa P, Chepkoech Jl, Bjørnerud A, Due-tønnessen P, et al
Multiple sclerosis (Houndmills, Basingstoke, England) 2015;21(4):402-14

Eye and hand motor interactions with the Symbol Digit Modalities Test in early multiple sclerosis
Nygaard Go, De Rodez Benavent Sa, Harbo Hf, Laeng B, Sowa P, Damangir S, et al
Multiple sclerosis and related disorders 2015;4(6):585-9

Midlife CAIDE dementia risk score and dementia-related brain changes up to 30 years later on magnetic resonance imaging
Vuorinen M, Spulber G, Damangir S, Niskanen E, Ngandu T, Soininen H, et al
Journal of Alzheimer's disease : JAD 2015;44(1):93-101

Reduced perfusion in white matter lesions in multiple sclerosis
Sowa P, Bjørnerud A, Nygaard Go, Damangir S, Spulber G, Celius Eg, et al
European journal of radiology 2015;84(12):2605-12

Comorbidity profile in dementia with Lewy bodies versus Alzheimer's disease: a linkage study between the Swedish Dementia Registry and the Swedish National Patient Registry
Fereshtehnejad Sm, Damangir S, Cermakova P, Aarsland D, Eriksdotter M, Religa D

Coronary heart disease and cortical thickness, gray matter and white matter lesion volumes on MRI
Vuorinen M, Damangir S, Niskanen E, Miralbell J, Rusanen M, Spulber G, et al
PloS one 2014;9(10):e109250-

Multispectral MRI segmentation of age related white matter changes using a cascade of support vector machines
Damangir S, Manzouri A, Oppedal K, Carlsson S, Firbank Mj, Sonnesyn H, et al
Journal of the neurological sciences 2012;322(1-2):211-6

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