Measuring the quality of e-learning. - David B. Hay; Caroline Kehoe; Marc E. Miquel; Stylianos Hatzipanagos; Ian M. Kinchin; Steven F. Keevil; Simon Lygo-Baker (Br. J. Educ. Technol., 2008)

Assessment of Geometric Distortion in Six Clinical Scanners Using a 3D-Printed Grid Phantom. - Maysam Jafar; Yassir M. Jafar; Christopher Dean; Marc E. Miquel (J. Imaging, 2017)

Functional brain outcomes of L2 speech learning emerge during sensorimotor transformation. - Daniel Carey; Marc E. Miquel; Bronwen G. Evans; Patti Adank; Carolyn McGettigan (NeuroImage, 2017)

Quantifying multiple sclerosis pathology in post mortem spinal cord using MRI. - K. Schmierer; Amy R. McDowell; N. Petrova; Daniele Carassiti; David Thomas 002; Marc E. Miquel (NeuroImage, 2018)

Realistic Dynamic Numerical Phantom for MRI of the Upper Vocal Tract. - Joe Martin; Matthieu Ruthven; Redha Boubertakh; Marc E. Miquel (J. Imaging, 2020)

Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech. - Matthieu Ruthven; Marc E. Miquel; Andrew P. King (Comput. Methods Programs Biomed., 2021)

A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech. - Matthieu Ruthven; Marc E. Miquel; Andrew P. King (Biomed. Signal Process. Control., 2023)

SANGRE: a Shallow Attention Network Guided by Resolution Expansion for MR Image Segmentation. - Ying He; Marc E. Miquel; Qianni Zhang (MICCAI (9), 2024)

DAG-UNet: Dissimilarity-Aware Global Context Guided Lightweight UNet for Medical Image Segmentation. - Ying He; Qianni Zhang; Marc E. Miquel (ISBI, 2025)