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Elaheh Moradi
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Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
E Moradi, A Pepe, C Gaser, H Huttunen, J Tohka, ...
Neuroimage 104, 398-412, 2015
8592015
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
4422015
Rey's Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer's disease
E Moradi, I Hallikainen, T Hänninen, J Tohka, ...
NeuroImage: Clinical 13, 415-427, 2017
2412017
Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data
E Moradi, B Khundrakpam, JD Lewis, AC Evans, J Tohka
Neuroimage 144, 128-141, 2017
1122017
Comparison of feature selection techniques in machine learning for anatomical brain MRI in dementia
J Tohka, E Moradi, H Huttunen, ...
Neuroinformatics 14 (3), 279-296, 2016
1052016
Crosstalk between ROR1 and BCR pathways defines novel treatment strategies in mantle cell lymphoma
H Karvonen, D Chiron, W Niininen, S Ek, M Jerkeman, E Moradi, M Nykter, ...
Blood advances 1 (24), 2257-2268, 2017
382017
Multi-objective genetic algorithm for multi-view feature selection
V Imani, C Sevilla-Salcedo, E Moradi, V Fortino, J Tohka, ...
Applied Soft Computing 167, 112332, 2024
172024
Distinct transcriptomic profiles in children prior to the appearance of type 1 diabetes-linked islet autoantibodies and following enterovirus infection
J Lin, E Moradi, K Salenius, S Lehtipuro, T Häkkinen, JE Laiho, ...
Nature Communications 14 (1), 7630, 2023
162023
Semi-supervised learning in MCI-to-ad conversion prediction—When is unlabeled data useful?
E Moradi, J Tohka, C Gaser
2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4, 2014
142014
Supervised pathway analysis of blood gene expression profiles in Alzheimer's disease
E Moradi, M Marttinen, T Häkkinen, M Hiltunen, M Nykter
Neurobiology of aging 84, 98-108, 2019
132019
MRI based dementia classification using semi-supervised learning and domain adaptation
E Moradi, C Gaser, H Huttunen, J Tohka
MICCAI 2014 Workshop Proceedings, Challange on Computer-Aided Diagnosis of …, 2014
122014
Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals
E Moradi, M Prakash, A Hall, A Solomon, B Strange, J Tohka, ...
Alzheimer's Research & Therapy 16 (1), 46, 2024
92024
Identification of long noncoding RNAs with aberrant expression in prostate cancer metastases
M Sattari, A Kohvakka, E Moradi, H Rauhala, H Urhonen, WB Isaacs, ...
Endocrine-related cancer 30 (8), 2023
92023
Integrating plasma, MRI, and cognitive biomarkers for personalized prediction of decline across cognitive domains
E Moradi, R Dahnke, V Imani, C Gaser, A Solomon, J Tohka, ...
medRxiv, 2024.12. 31.24319830, 2025
32025
Predicting Future Brain Atrophy Based on Longitudinal MRI
M Hadji, E Moradi, J Tohka, ...
medRxiv, 2025.04. 09.25325520, 2025
12025
Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach
V Imani, E Moradi, C Sevilla-Salcedo, V Fortino, J Tohka
International Conference on Advances in Computing Research, 392-403, 2024
12024
Forecasting Future Anatomies: Longitudinal Brain Mri-to-Mri Prediction
A Farki, E Moradi, D Koundal, J Tohka
arXiv preprint arXiv:2511.02558, 2025
2025
Accurate classification of CNS tumors through DNA methylation data analysis of select genomic regions
E Moradi, J Vuorinen, A Rodriguez-Martinez, M Pekkarinen, M Vulli, ...
medRxiv, 2025.10. 07.25337348, 2025
2025
Real‐world brain imaging in a population‐based cohort enables accurate markers for dementia
R Sund, J Seppänen, E Moradi, S Väänänen, J Miettinen, J Hakumäki, ...
Alzheimer's & Dementia 21 (7), e70227, 2025
2025
Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion
G Sharma, E Moradi, J Pajula, M Hilvo, J Tohka
arXiv preprint arXiv:2503.03489, 2025
2025
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Articles 1–20