Patterns of brain atrophy in recently-diagnosed relapsing-remitting multiple sclerosis
Recurrent neuroinflammation in relapsing-remitting MS (RRMS) is thought to lead to
neurodegeneration, resulting in progressive disability. Repeated magnetic resonance …
neurodegeneration, resulting in progressive disability. Repeated magnetic resonance …
Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods
Cortical thickness (CTh) is routinely used to quantify grey matter atrophy as it is a significant
biomarker in studying neurodegenerative and neurological conditions. Clinical studies …
biomarker in studying neurodegenerative and neurological conditions. Clinical studies …
Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks
B Thyreau, Y Taki - Medical image analysis, 2020 - Elsevier
The parcellation of the human cortex into meaningful anatomical units is a common step of
various neuroimaging studies. There have been multiple successful efforts to process …
various neuroimaging studies. There have been multiple successful efforts to process …
Robust estimation of sulcal morphology
CR Madan - Brain Informatics, 2019 - Springer
While it is well established that cortical morphology differs in relation to a variety of inter-
individual factors, it is often characterized using estimates of volume, thickness, surface …
individual factors, it is often characterized using estimates of volume, thickness, surface …
Basal ganglia correlates of wellbeing in early adolescence
It has been suggested that biological markers that define mental health are different to those
that define mental illness. The basal ganglia changes dramatically over adolescence and …
that define mental illness. The basal ganglia changes dramatically over adolescence and …
Neuroanatomical morphometric characterization of sex differences in youth using statistical learning
Exploring neuroanatomical sex differences using a multivariate statistical learning approach
can yield insights that cannot be derived with univariate analysis. While gross differences in …
can yield insights that cannot be derived with univariate analysis. While gross differences in …
Spatial stability of functional networks: A measure to assess the robustness of graph-theoretical metrics to spatial errors related to brain parcellation
There is growing interest in studying human brain connectivity and in modelling the brain
functional structure as a network. Brain network creation requires parcellation of the cerebral …
functional structure as a network. Brain network creation requires parcellation of the cerebral …
Diagnosis of early mild cognitive impairment using a multiobjective optimization algorithm based on T1-MRI data
Alzheimer's disease (AD) is the most prevalent form of dementia. The accurate diagnosis of
AD, especially in the early phases is very important for timely intervention. It has been …
AD, especially in the early phases is very important for timely intervention. It has been …
Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis
C Jimenez‐Mesa, J Ramirez, Z Yi, C Yan… - Human Brain …, 2024 - Wiley Online Library
Novel features derived from imaging and artificial intelligence systems are commonly
coupled to construct computer‐aided diagnosis (CAD) systems that are intended as clinical …
coupled to construct computer‐aided diagnosis (CAD) systems that are intended as clinical …
Quantity and quality: Normative open-access neuroimaging databases
The focus of this article is to compare twenty normative and open-access neuroimaging
databases based on quantitative measures of image quality, namely, signal-to-noise (SNR) …
databases based on quantitative measures of image quality, namely, signal-to-noise (SNR) …