Transfer learning in magnetic resonance brain imaging: A systematic review JM Valverde, V Imani, A Abdollahzadeh, R De Feo, M Prakash, R Ciszek, ... Journal of imaging 7 (4), 66, 2021 | 110 | 2021 |
Three main paradigms of simultaneous localization and mapping (SLAM) problem V Imani, K Haataja, P Toivanen Tenth International Conference on Machine Vision (ICMV 2017) 10696, 442-450, 2018 | 15 | 2018 |
Multi-task longitudinal forecasting with missing values on Alzheimer’s disease C Sevilla-Salcedo, V Imani, PM Olmos, V Gómez-Verdejo, J Tohka, ... Computer Methods and Programs in Biomedicine 226, 107056, 2022 | 7 | 2022 |
Comparison of single and multitask learning for predicting cognitive decline based on MRI data V Imani, M Prakash, M Zare, J Tohka IEEE Access 9, 154275-154291, 2021 | 6 | 2021 |
Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry JM Valverde, V Imani, JD Lewis, J Tohka Challenge in Adolescent Brain Cognitive Development Neurocognitive …, 2019 | 4 | 2019 |
Multi-objective genetic algorithm for multi-view feature selection V Imani, C Sevilla-Salcedo, E Moradi, V Fortino, J Tohka, ... Applied Soft Computing, 112332, 2024 | 2 | 2024 |
Intelligence and cortical morphometry: caveats in brain-behavior associations JD Lewis, V Imani, J Tohka Brain Structure and Function, 1-16, 2024 | | 2024 |
Machine learning for early diagnosis of brain disorders based on multimodal data: applications for dementia V Imani Itä-Suomen yliopisto, 2024 | | 2024 |
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 |