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Neuropathology of vascular brain health: insights from ex vivo magnetic resonance imaging–histopathology studies in cerebral small vessel disease
Sporadic cerebral small vessel disease (SVD) is a major contributor to vascular cognitive
impairment and dementia in the aging human brain. On neuropathology, sporadic SVD is …
impairment and dementia in the aging human brain. On neuropathology, sporadic SVD is …
Automatic detection of cerebral microbleeds from MR images via 3D convolutional neural networks
Cerebral microbleeds (CMBs) are small haemorrhages nearby blood vessels. They have
been recognized as important diagnostic biomarkers for many cerebrovascular diseases …
been recognized as important diagnostic biomarkers for many cerebrovascular diseases …
Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease
Brain imaging is essential for the diagnosis and characterization of cerebral small vessel
disease. Several magnetic resonance imaging markers have therefore emerged, providing …
disease. Several magnetic resonance imaging markers have therefore emerged, providing …
Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis
The gold standard for identifying stroke lesions is manual tracing, a method that is known to
be observer dependent and time consuming, thus impractical for big data studies. We …
be observer dependent and time consuming, thus impractical for big data studies. We …
Seven-layer deep neural network based on sparse autoencoder for voxelwise detection of cerebral microbleed
In order to detect the cerebral microbleed (CMB) voxels within brain, we used susceptibility
weighted imaging to scan the subjects. Then, we used undersampling to solve the accuracy …
weighted imaging to scan the subjects. Then, we used undersampling to solve the accuracy …
Cerebral microbleed detection using susceptibility weighted imaging and deep learning
Detecting cerebral microbleeds (CMBs) is important in diagnosing a variety of diseases
including dementia, stroke and traumatic brain injury. However, manual detection of CMBs …
including dementia, stroke and traumatic brain injury. However, manual detection of CMBs …
Cerebral micro-bleed detection based on the convolution neural network with rank based average pooling
S Wang, Y Jiang, X Hou, H Cheng, S Du - IEEE Access, 2017 - ieeexplore.ieee.org
Cerebral micro-bleed (CMB) is small perivascular hemosiderin deposits from leakage
through cerebral small vessels. They can result from cerebra-vascular disease, dementia, or …
through cerebral small vessels. They can result from cerebra-vascular disease, dementia, or …
[HTML][HTML] Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approach
Abstract Cerebral Microbleeds (CMBs) are small chronic brain hemorrhages, which have
been considered as diagnostic indicators for different cerebrovascular diseases including …
been considered as diagnostic indicators for different cerebrovascular diseases including …
A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks
Cerebral microbleed (CMB) is a type of biomarker, which is related to cerebrovascular
diseases. In this paper, a novel computer aided diagnosis method for CMB detection was …
diseases. In this paper, a novel computer aided diagnosis method for CMB detection was …
Detecting cerebral microbleeds with transfer learning
Cerebral microbleeds (CMBs) are small perivascular hemosiderin deposits leaked from
cerebral small vessels in normal (or near normal) tissue. It is important to detect CMBs …
cerebral small vessels in normal (or near normal) tissue. It is important to detect CMBs …