Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Registration is a core component of many imaging pipelines. In case of clinical scans, with
lower resolution and sometimes substantial motion artifacts, registration can produce poor …
lower resolution and sometimes substantial motion artifacts, registration can produce poor …
Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly
Numerous brain disorders are associated with ventriculomegaly, including both neuro-
degenerative diseases and cerebrospinal fluid disorders. Detailed evaluation of the …
degenerative diseases and cerebrospinal fluid disorders. Detailed evaluation of the …
A joint ventricle and WMH segmentation from MRI for evaluation of healthy and pathological changes in the aging brain
Age-related changes in brain structure include atrophy of the brain parenchyma and white
matter changes of presumed vascular origin. Enlargement of the ventricles may occur due to …
matter changes of presumed vascular origin. Enlargement of the ventricles may occur due to …
Automated ventricle parcellation and evan's ratio computation in pre-and post-surgical ventriculomegaly
Normal pressure hydrocephalus (NPH) is a brain disorder associated with enlarged
ventricles and multiple cognitive and motor symptoms. The degree of ventricular …
ventricles and multiple cognitive and motor symptoms. The degree of ventricular …
Investigation of probability maps in deep-learning-based brain ventricle parcellation
Normal Pressure Hydrocephalus (NPH) is a brain disorder associated with
ventriculomegaly. Accurate segmentation of the ventricle system into its sub-compartments …
ventriculomegaly. Accurate segmentation of the ventricle system into its sub-compartments …
Deep learning for segmentation of brain MRI-validation on the ventricular system and white matter lesions
H Atlason - 2021 - opinvisindi.is
Magnetic resonance images (MRIs) enable neuroradiologists to investigate the human brain
to look for possible causes of disease. The clinical interpretation of these images is …
to look for possible causes of disease. The clinical interpretation of these images is …
Artificial Intelligence with Light Supervision: Application to Neuroimaging
F Dubost - 2020 - repub.eur.nl
Recent developments in artificial intelligence research have resulted in tremendous success
in computer vision, natural language processing and medical imaging tasks, often reaching …
in computer vision, natural language processing and medical imaging tasks, often reaching …