Semi-supervised learning in MCI-to-ad conversion prediction - When is unlabeled data useful? - Elaheh Moradi; Jussi Tohka; Christian Gaser (PRNI, 2014)

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects. - Elaheh Moradi; Antonietta Pepe; Christian Gaser; Heikki Huttunen; Jussi Tohka (NeuroImage, 2015)

Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia. - Jussi Tohka; Elaheh Moradi; Heikki Huttunen (Neuroinformatics, 2016)

Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data. - Elaheh Moradi; Budhachandra S. Khundrakpam; John D. Lewis; Alan C. Evans; Jussi Tohka (NeuroImage, 2017)

Machine Learning Methods for Structural Brain MRIs: Applications for Alzheimer's Disease and Autism Spectrum Disorder. - Elaheh Moradi (2017)

Optimizing Feature Selection for Binary Classification with Noisy Labels: A Genetic Algorithm Approach. - Vandad Imani; Elaheh Moradi; Carlos Sevilla-Salcedo; Vittorio Fortino; Jussi Tohka (ACR, 2024)

Multi-objective genetic algorithm for multi-view feature selection. - Vandad Imani; Carlos Sevilla-Salcedo; Elaheh Moradi; Vittorio Fortino; Jussi Tohka (Appl. Soft Comput., 2024)

Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion. - Gaurang Sharma; Elaheh Moradi; Juha Pajula; Mika Hilvo; Jussi Tohka (CoRR, 2025)