Assessing the Dysarthria Level of Parkinson's Disease Patients with GMM-UBM Supervectors Using Phonological Posteriors and Diadochokinetic Exercises. - Gabriel F. Miller; Juan Camilo Vásquez-Correa; Elmar Nöth (TDS, 2020)

Misalignment Recognition in Acoustic Sensor Networks Using a Semi-Supervised Source Estimation Method and Markov Random Fields. - Gabriel F. Miller; Andreas Brendel; Walter Kellermann; Sharon Gannot (ICASSP, 2021)

Deep Learning Pipeline for Preprocessing and Segmenting Cardiac Magnetic Resonance of Single Ventricle Patients from an Image Registry. - Tina Yao; Nicole St. Clair; Gabriel F. Miller; Adam L. Dorfman; Mark A. Fogel; Sunil J. Ghelani; Rajesh Krishnamurthy; Christopher Z. Lam; Joshua D. Robinson; David Schidlow; Timothy C. Slesnick; Justin Weigand; et al. (CoRR, 2023)

Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions. - Gabriel Figueiredo Miller; Juan Camilo Vásquez-Correa; Juan Rafael Orozco-Arroyave; Elmar Nöth (Comput. Speech Lang., 2024)

MultiFlow: A unified deep learning framework for multi-vessel classification, segmentation and clustering of phase-contrast MRI validated on a multi-site single ventricle patient cohort. - Tina Yao; Nicole St. Clair; Gabriel F. Miller; FORCE Investigators; Jennifer Anne Steeden; Rahul H. Rathod; Vivek Muthurangu (CoRR, 2025)