Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging
A Danelakis, T Theoharis, DA Verganelakis - … Medical Imaging and …, 2018 - Elsevier
Multiple sclerosis (MS) is a chronic disease. It affects the central nervous system and its
clinical manifestation can variate. Magnetic Resonance Imaging (MRI) is often used to …
clinical manifestation can variate. Magnetic Resonance Imaging (MRI) is often used to …
Gut microbiome in progressive multiple sclerosis
Objective This study was undertaken to investigate the gut microbiome in progressive
multiple sclerosis (MS) and how it relates to clinical disease. Methods We sequenced the …
multiple sclerosis (MS) and how it relates to clinical disease. Methods We sequenced the …
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS)
patients. Segmentation of the spinal cord and lesions from MRI data provides measures of …
patients. Segmentation of the spinal cord and lesions from MRI data provides measures of …
Neurofilament light chain serum levels correlate with 10‐year MRI outcomes in multiple sclerosis
Objective To assess the value of annual serum neurofilament light (NfL) measures in
predicting 10‐year clinical and MRI outcomes in multiple sclerosis (MS). Methods We …
predicting 10‐year clinical and MRI outcomes in multiple sclerosis (MS). Methods We …
Multiple sclerosis lesion segmentation with tiramisu and 2.5 d stacked slices
In this paper, we present a fully convolutional densely connected network (Tiramisu) for
multiple sclerosis (MS) lesion segmentation. Different from existing methods, we use stacked …
multiple sclerosis (MS) lesion segmentation. Different from existing methods, we use stacked …
Lesion network localization of depression in multiple sclerosis
Multiple sclerosis (MS), a demyelinating disease that causes focal white matter lesions, is
commonly associated with depression. However, it remains unclear whether depression risk …
commonly associated with depression. However, it remains unclear whether depression risk …
Faster RCNN‐based detection of cervical spinal cord injury and disc degeneration
S Ma, Y Huang, X Che, R Gu - Journal of applied clinical …, 2020 - Wiley Online Library
Magnetic resonance imaging (MRI) can indirectly reflect microscopic changes in lesions on
the spinal cord; however, the application of deep learning to MRI to classify and detect …
the spinal cord; however, the application of deep learning to MRI to classify and detect …
Multiple sclerosis lesions that impair memory map to a connected memory circuit
I Kletenik, AL Cohen, BI Glanz, MA Ferguson… - Journal of …, 2023 - Springer
Abstract Background Nearly 1 million Americans are living with multiple sclerosis (MS) and
30–50% will experience memory dysfunction. It remains unclear whether this memory …
30–50% will experience memory dysfunction. It remains unclear whether this memory …
Early predictors of clinical and MRI outcomes using least absolute shrinkage and selection operator (LASSO) in multiple sclerosis
Objective The objective of this study was to identify predictors in common between different
clinical and magnetic resonance imaging (MRI) outcomes in multiple sclerosis (MS) by …
clinical and magnetic resonance imaging (MRI) outcomes in multiple sclerosis (MS) by …