A survey on U-shaped networks in medical image segmentations
The U-shaped network is one of the end-to-end convolutional neural networks (CNNs). In
electron microscope segmentation of ISBI challenge 2012, the concise architecture and …
electron microscope segmentation of ISBI challenge 2012, the concise architecture and …
Automatic detection of white matter hyperintensities in healthy aging and pathology using magnetic resonance imaging: a review
ME Caligiuri, P Perrotta, A Augimeri, F Rocca… - Neuroinformatics, 2015 - Springer
White matter hyperintensities (WMH) are commonly seen in the brain of healthy elderly
subjects and patients with several neurological and vascular disorders. A truly reliable and …
subjects and patients with several neurological and vascular disorders. A truly reliable and …
[HTML][HTML] BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities
Reliable quantification of white matter hyperintensities of presumed vascular origin (WMHs)
is increasingly needed, given the presence of these MRI findings in patients with several …
is increasingly needed, given the presence of these MRI findings in patients with several …
Longitudinal multiple sclerosis lesion segmentation: resource and challenge
In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion
segmentation challenge providing training and test data to registered participants. The …
segmentation challenge providing training and test data to registered participants. The …
Bayesian model selection for pathological neuroimaging data applied to white matter lesion segmentation
CH Sudre, MJ Cardoso, WH Bouvy… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
In neuroimaging studies, pathologies can present themselves as abnormal intensity
patterns. Thus, solutions for detecting abnormal intensities are currently under investigation …
patterns. Thus, solutions for detecting abnormal intensities are currently under investigation …
Lesion segmentation from multimodal MRI using random forest following ischemic stroke
Understanding structure–function relationships in the brain after stroke is reliant not only on
the accurate anatomical delineation of the focal ischemic lesion, but also on previous …
the accurate anatomical delineation of the focal ischemic lesion, but also on previous …
Validation of a regression technique for segmentation of white matter hyperintensities in Alzheimer's disease
M Dadar, TA Pascoal, S Manitsirikul… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Segmentation and volumetric quantification of white matter hyperintensities (WMHs) is
essential in assessment and monitoring of the vascular burden in aging and Alzheimer's …
essential in assessment and monitoring of the vascular burden in aging and Alzheimer's …
Clinical investigation of the protective effects of palm vitamin E tocotrienols on brain white matter
Background and Purpose—Previous cell-based and animal studies showed mixed
tocotrienols are neuroprotective, but the effect is yet to be proven in humans. Thus, the …
tocotrienols are neuroprotective, but the effect is yet to be proven in humans. Thus, the …
[HTML][HTML] Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images
White matter hyperintensities (WMHs) have been associated with various cerebrovascular
and neurodegenerative diseases. Reliable quantification of WMHs is essential for …
and neurodegenerative diseases. Reliable quantification of WMHs is essential for …
Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging
Abstract Introduction White matter hyperintensities (WMHs) are areas of abnormal signal on
magnetic resonance images (MRIs) that characterize various types of histopathological …
magnetic resonance images (MRIs) that characterize various types of histopathological …