| 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 | 713 | 2015 |
| 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 | 357 | 2015 |
| 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 | 167 | 2017 |
| Comparison of feature selection techniques in machine learning for anatomical brain MRI in dementia J Tohka, E Moradi, H Huttunen, ... Neuroinformatics 14, 279-296, 2016 | 91 | 2016 |
| 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 | 86 | 2017 |
| 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 | 36 | 2017 |
| 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 | 11 | 2014 |
| 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 | 10 | 2014 |
| 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 | 7 | 2019 |
| 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 | 2 | 2023 |
| 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 | 1 | 2023 |
| 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 | | 2024 |
| 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 | | 2024 |
| Identification of novel long non-coding RNA based biomarkers in prostate cancer M Sattari, A Kohvakka, H Urhonen, E Moradi, H Rauhala, M Nykter, ... European Urology Supplements 18 (8), e3078, 2019 | | 2019 |
| Machine Learning Methods for Structural Brain MRIs : Applications for Alzheimer’s Disease and Autism Spectrum Disorder E Moradi Tampere University of Technology, 2017 | | 2017 |
| Supplement to Comparison of feature selection techniques in machine learning for anatomical brain MRI in dementia J Tohka, E Moradi, H Huttunen | | 2015 |
Jussi TohkaUniversity of Eastern Finland, FinlandVerified email at uef.fi
