Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges
Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …
diagnoses and research which underpin many recent breakthroughs in medicine and …
The lifespan human connectome project in aging: an overview
SY Bookheimer, DH Salat, M Terpstra, BM Ances… - Neuroimage, 2019 - Elsevier
Abstract The original Human Connectome Project yielded a rich data set on structural and
functional connectivity in a large sample of healthy young adults using improved methods of …
functional connectivity in a large sample of healthy young adults using improved methods of …
On instabilities of deep learning in image reconstruction and the potential costs of AI
Deep learning, due to its unprecedented success in tasks such as image classification, has
emerged as a new tool in image reconstruction with potential to change the field. In this …
emerged as a new tool in image reconstruction with potential to change the field. In this …
Image reconstruction by domain-transform manifold learning
Image reconstruction is essential for imaging applications across the physical and life
sciences, including optical and radar systems, magnetic resonance imaging, X-ray …
sciences, including optical and radar systems, magnetic resonance imaging, X-ray …
Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects
Abstract The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are
two large-scale brain imaging studies that will extend the recently completed HCP Young …
two large-scale brain imaging studies that will extend the recently completed HCP Young …
The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem
Deep learning (DL) has had unprecedented success and is now entering scientific
computing with full force. However, current DL methods typically suffer from instability, even …
computing with full force. However, current DL methods typically suffer from instability, even …
Population-averaged atlas of the macroscale human structural connectome and its network topology
A comprehensive map of the structural connectome in the human brain has been a coveted
resource for understanding macroscopic brain networks. Here we report an expert-vetted …
resource for understanding macroscopic brain networks. Here we report an expert-vetted …
Morphometric similarity networks detect microscale cortical organization and predict inter-individual cognitive variation
Macroscopic cortical networks are important for cognitive function, but it remains challenging
to construct anatomically plausible individual structural connectomes from human …
to construct anatomically plausible individual structural connectomes from human …
[HTML][HTML] What's new and what's next in diffusion MRI preprocessing
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …
The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5–21 year olds
Recent technological and analytical progress in brain imaging has enabled the examination
of brain organization and connectivity at unprecedented levels of detail. The Human …
of brain organization and connectivity at unprecedented levels of detail. The Human …