3 citations · 3 across the 4 of their papers we have counts for
4 papers
Direct Estimation of Pediatric Heart Rate Variability from BOLD-fMRI: A Machine Learning Approach Using Dynamic Connectivity
Abdoljalil Addeh, Karen Ardila, Rebecca J Williams +2
In many pediatric fMRI studies, cardiac signals are often missing or of poor quality. A tool to extract Heart Rate Variation (HRV) waveforms directly from fMRI data, without the ne…
The Useful Side of Motion: Using Head Motion Parameters to Correct for Respiratory Confounds in BOLD fMRI
Abdoljalil Addeh, G. Bruce Pike, M. Ethan MacDonald
Acquiring accurate external respiratory data during functional Magnetic Resonance Imaging (fMRI) is challenging, prompting the exploration of machine learning methods to estimate r…
Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey
Fatemeh Jamshidi, Gary Pike, Amit Das +1
In the domain of Music Information Retrieval (MIR), Automatic Music Transcription (AMT) emerges as a central challenge, aiming to convert audio signals into symbolic notations like…
Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters
Abdoljalil Addeh, Fernando Vega, Rebecca J. Williams +2
Motivation: In many fMRI studies, respiratory signals are often missing or of poor quality. Therefore, it could be highly beneficial to have a tool to extract respiratory variation…