A multi-center study: Intra-scan and inter-scan variability of diffusion spectrum imaging. - Alia Lemkaddem; Alessandro Daducci; Serge Vulliémoz; Kieran O'Brien; François Lazeyras; Martinus Hauf; Roland Wiest; Reto Meuli; Margitta Seeck; Gunnar Krueger; Jean-Philippe Thiran (NeuroImage, 2012)

3-D Residual Eddy Current Field Characterisation: Applied to Diffusion Weighted Magnetic Resonance Imaging. - Kieran O'Brien; Alessandro Daducci; Nils Kickler; François Lazeyras; Rolf Gruetter; Thorsten Feiweier; Gunnar Krueger (IEEE Trans. Medical Imaging, 2013)

Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis. - Oscar Esteban; Alessandro Daducci; Emmanuel Caruyer; Kieran O'Brien; María J. Ledesma-Carbayo; Meritxell Bach Cuadra; Andrés Santos (ISBI, 2014)

Antibiotic Use as a Tragedy of the Commons: A Cross-Sectional Survey. - Kieran O'Brien; Seth Blumberg; Wayne T. A. Enanoria; Sarah Ackley; Nicolas Sippl-Swezey; Thomas M. Lietman (Comput. Math. Methods Medicine, 2014)

Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models. - Nicolas Kunz; Hui Zhang 005; Lana Vasung; Kieran O'Brien; Yaniv Assaf; François Lazeyras; Daniel C. Alexander; Petra S. Hüppi (NeuroImage, 2014)

Are glutamate and lactate increases ubiquitous to physiological activation? A 1H functional MR spectroscopy study during motor activation in human brain at 7 Tesla. - Benoît Schaller; Lijing Xin; Kieran O'Brien; Arthur W. Magill; Rolf Gruetter (NeuroImage, 2014)

MKID digital readout tuning with deep learning. - Rupert Dodkins; Sumedh Mahashabde; Kieran O'Brien; Niranjan Thatte; Neelay Fruitwala; Alex B. Walter; S. R. Meeker; Paul Szypryt; Ben A. Mazin (Astron. Comput., 2018)

Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI. - Yohan Boillat; Pierre-Louis Bazin; Kieran O'Brien; Mário João Fartaria; Guillaume Bonnier; Gunnar Krueger; Wietske van der Zwaag; Cristina Granziera (NeuroImage, 2018)

DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping. - Steffen Bollmann; Kasper Gade Bøtker Rasmussen; Mads Kristensen; Rasmus Guldhammer Blendal; Lasse Riis Østergaard; Maciej Plocharski; Kieran O'Brien; Christian Langkammer; Andrew L. Janke; Markus Barth (NeuroImage, 2019)

The health digital twin to tackle cardiovascular disease - a review of an emerging interdisciplinary field. - Genevieve Coorey; Gemma A. Figtree; David F. Fletcher; Victoria J. Snelson; Stephen T. Vernon; David S. Winlaw; Stuart M. Grieve; Alistair Lee McEwan; Jean Yee Hwa Yang; Pierre Qian; Kieran O'Brien; Jessica Orchard; et al. (npj Digit. Medicine, 2022)

NeXtQSM - A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data. - Francesco Cognolato; Kieran O'Brien; Jin Jin 003; Simon Robinson 002; Frederik B. Laun; Markus Barth; Steffen Bollmann (Medical Image Anal., 2023)