Gabriel F. Miller

According to our database, Gabriel F. Miller authored at least 5 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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, February, 2025

2024

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., April, 2024

2023

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, Michael Quail, Rahul H. Rathod, Jennifer Anne Steeden, Vivek Muthurangu

CoRR, 2023

2021

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

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

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

Proceedings of the Text, Speech, and Dialogue, 2020