A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …
registration over the past decade. The initial developments, such as regression-based and U …
The multimodal brain tumor image segmentation benchmark (BRATS)
In this paper we report the set-up and results of the Multimodal Brain Tumor Image
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …
An improved neuroanatomical model of the default-mode network reconciles previous neuroimaging and neuropathological findings
The brain is constituted of multiple networks of functionally correlated brain areas, out of
which the default-mode network (DMN) is the largest. Most existing research into the DMN …
which the default-mode network (DMN) is the largest. Most existing research into the DMN …
QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data
Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for
noninvasively studying the organization of white matter in the human brain. Here we …
noninvasively studying the organization of white matter in the human brain. Here we …
Statistical harmonization corrects site effects in functional connectivity measurements from multi‐site fMRI data
Acquiring resting‐state functional magnetic resonance imaging (fMRI) datasets at multiple
MRI scanners and clinical sites can improve statistical power and generalizability of results …
MRI scanners and clinical sites can improve statistical power and generalizability of results …
A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease
Some forms of mild cognitive impairment (MCI) are the clinical precursors of Alzheimer's
disease (AD), while other MCI types tend to remain stable over-time and do not progress to …
disease (AD), while other MCI types tend to remain stable over-time and do not progress to …
A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei
Recent advances in magnetic resonance imaging methods, including data acquisition, pre-
processing and analysis, have benefited research on the contributions of subcortical brain …
processing and analysis, have benefited research on the contributions of subcortical brain …
Multi-atlas segmentation of biomedical images: a survey
Abstract Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …
Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature
The development of human cognition results from the emergence of coordinated activity
between distant brain areas. Network science, combined with non-invasive functional …
between distant brain areas. Network science, combined with non-invasive functional …
Glia accumulate evidence that actions are futile and suppress unsuccessful behavior
When a behavior repeatedly fails to achieve its goal, animals often give up and become
passive, which can be strategic for preserving energy or regrou** between attempts. It is …
passive, which can be strategic for preserving energy or regrou** between attempts. It is …