Exploring approaches to tackle cross-domain challenges in brain medical image segmentation: a systematic review
M Yanzhen, C Song, L Wanping, Y Zufang… - Frontiers in …, 2024 - frontiersin.org
Introduction Brain medical image segmentation is a critical task in medical image
processing, playing a significant role in the prediction and diagnosis of diseases such as …
processing, playing a significant role in the prediction and diagnosis of diseases such as …
Diagnostic performance of deep learning-based automatic white matter hyperintensity segmentation for classification of the Fazekas scale and differentiation of …
Purpose To validate the diagnostic performance of commercially available, deep learning-
based automatic white matter hyperintensity (WMH) segmentation algorithm for classifying …
based automatic white matter hyperintensity (WMH) segmentation algorithm for classifying …
Biomarkers of Alzheimer's disease in Black and/or African American Alzheimer's Disease Neuroimaging Initiative (ADNI) participants
Majority of dementia research is conducted in non-Hispanic White participants despite a
greater prevalence of dementia in other racial groups. To obtain a better understanding of …
greater prevalence of dementia in other racial groups. To obtain a better understanding of …
Frontal white matter hyperintensities and executive functioning performance in older adults
Frontal lobe structures decline faster than most other brain regions in older adults. Age-
related change in the frontal lobe is associated with poorer executive function (eg, working …
related change in the frontal lobe is associated with poorer executive function (eg, working …
White matter hyperintensities in former American football players
ML Alosco, Y Tripodis, ZH Baucom… - Alzheimer's & …, 2023 - Wiley Online Library
Introduction The presentation, risk factors, and etiologies of white matter hyperintensities
(WMH) in people exposed to repetitive head impacts are unknown. We examined the …
(WMH) in people exposed to repetitive head impacts are unknown. We examined the …
Peripheral blood BDNF and soluble CAM proteins as possible markers of prolonged disorders of consciousness: a pilot study
L Coppola, G Smaldone, AM Grimaldi, A Estraneo… - Scientific Reports, 2024 - nature.com
Although clinical examination still represents the gold standard for the differential diagnosis
of prolonged disorders of consciousness (pDoC), the introduction of innovative markers is …
of prolonged disorders of consciousness (pDoC), the introduction of innovative markers is …
A deep learning algorithm for white matter hyperintensity lesion detection and segmentation
Purpose White matter hyperintensity (WMHI) lesions on MR images are an important
indication of various types of brain diseases that involve inflammation and blood vessel …
indication of various types of brain diseases that involve inflammation and blood vessel …
Hippocampal avoidance prophylactic cranial irradiation (HA-PCI) for small cell lung cancer reduces hippocampal atrophy compared to conventional PCI
Background Reducing radiation dose to the hippocampus with hippocampal avoidance
prophylactic cranial irradiation (HA-PCI) is proposed to prevent cognitive decline. It has …
prophylactic cranial irradiation (HA-PCI) is proposed to prevent cognitive decline. It has …
Different inflammatory signatures based on CSF biomarkers relate to preserved or diminished brain structure and cognition
Neuroinflammation is a hallmark of Alzheimer's disease (AD) and both positive and negative
associations of individual inflammation-related markers with brain structure and cognitive …
associations of individual inflammation-related markers with brain structure and cognitive …
Detection of subtle white matter lesions in MRI through texture feature extraction and boundary delineation using an embedded clustering strategy
White matter lesions (WML) underlie multiple brain disorders, and automatic WML
segmentation is crucial to evaluate the natural disease course and effectiveness of clinical …
segmentation is crucial to evaluate the natural disease course and effectiveness of clinical …