Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithm. - Tahereh Kamali; Daniel W. Stashuk (Artif. Intell. Medicine, 2016)

Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis. - Tahereh Kamali; Daniel W. Stashuk (IEEE Trans. Biomed. Eng., 2018)

A Multiple Instance Learning Approach to Electrophysiological Muscle Classification for Diagnosing Neuromuscular Disorders Using Quantitative EMG. - Tahereh Kamali (2018)

Diagnosis of Myotonic Dystrophy Based on Resting State fMRI Using Convolutional Neural Networks. - Tahereh Kamali; Katharine A. Hagerman; John W. Day; Jacinda Sampson; Kelvin O. Lim; Bryon A. Mueller; Jeffrey R. Wozniak (EMBC, 2020)

Discovering Density-Based Clustering Structures Using Neighborhood Distance Entropy Consistency. - Tahereh Kamali; Daniel W. Stashuk (IEEE Trans. Comput. Soc. Syst., 2020)

Toward Developing Robust Myotonic Dystrophy Brain Biomarkers using White Matter Tract Profiles Sub-Band Energy and A Framework of Ensemble Predictive Learning. - Tahereh Kamali; Dana Parker; John W. Day; Jacinda Sampson; Gayle K. Deutsch; Jeffrey R. Wozniak (EMBC, 2021)

Cognitive Impairment Analysis of Myotonic Dystrophy via Weakly Supervised Classification of Neuropsychological Features. - Tahereh Kamali; Gayle K. Deutsch; Katharine A. Hagerman; Dana Parker; John W. Day; Jacinda Sampson; Jeffrey R. Wozniak (EMBC, 2022)

Learning Spectral Fractional Anisotropy and Mean Diffusivity Features as Neuroimaging Biomarkers for Tracking White Matter Integrity Changes in Myotonic Dystrophy Type 1 Patients using Deep Convolutional Neural Networks. - Tahereh Kamali; John W. Day; Gayle K. Deutsch; Jacinda B. Sampson; Alejandro Murad; Jeremy Chaufty; Dana Parker; Jeffrey R. Wozniak (EMBC, 2023)