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)

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)

Enriched phenotypes in rare variant carriers suggest pathogenic mechanisms in rare disease patients. - Lane Fitzsimmons; Maria T. Acosta; David R. Adams; Ben Afzali; Ali Al-Beshri; Eric Allenspach; Aimee Allworth; Raquel L. Alvarez; Justin Alvey; Ashley Andrews; Euan A. Ashley; Carlos A. Bacino; et al. (BioData Min., 2025)