332 citations
- University of OxfordGB29 papers
- University of WarwickGB4 papers
- Harvard UniversityUS3 papers
- John Radcliffe HospitalGB3 papers
- King's College LondonGB3 papers
- National Institute of Mental HealthUS3 papers
- National Institutes of HealthUS3 papers
- Nottingham Biomedical Research CentreGB3 papers
- University College LondonGB3 papers
- University of NottinghamGB3 papers
- Wellcome Centre for Human NeuroimagingGB3 papers
- Aarhus UniversityDK2 papers
31 papers
A comprehensive framework for statistical testing of brain dynamics
Nick Yao Larsen, Laura Paulsen, Christine Ahrends +2
Neural activity data can be associated with behavioral and physiological variables by analyzing their changes in the temporal domain. However, such relationships are often difficul…
Normative brain mapping of 3-dimensional morphometry imaging data using skewed functional data analysis
Marco Palma, Shahin Tavakoli, Julia Brettschneider +2
Tensor-based morphometry (TBM) aims at showing local differences in brain volumes with respect to a common template. TBM images are smooth but they exhibit (especially in diseased…
Artificial Intelligence for Neuro MRI Acquisition: A Review
Hongjia Yang, Guanhua Wang, Ziyu Li +7
Magnetic resonance imaging (MRI) has significantly benefited from the resurgence of artificial intelligence (AI). By leveraging AI's capabilities in large-scale optimization and pa…
Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and structured low-rank reconstruction
Ziyu Li, Karla L. Miller, Xi Chen +2
3D multi-slab acquisitions are an appealing approach for diffusion MRI because they are compatible with the imaging regime delivering optimal SNR efficiency. In conventional 3D mul…
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation
Maria Miscouridou, José A. Pineda-Pardo, Charlotte J. Stagg +2
Model-based treatment planning for transcranial ultrasound therapy typically involves mapping the acoustic properties of the skull from an x-ray computed tomography (CT) image of t…