Classification, diagnosis, and differential diagnosis of multiple sclerosis
IK Sand - Current opinion in neurology, 2015 - journals.lww.com
Current multiple sclerosis phenotypic classifications include relapsing-remitting multiple
sclerosis, clinically isolated syndrome, radiologically isolated syndrome, primary …
sclerosis, clinically isolated syndrome, radiologically isolated syndrome, primary …
[HTML][HTML] Inference in the age of big data: Future perspectives on neuroscience
Neuroscience is undergoing faster changes than ever before. Over 100 years our field
qualitatively described and invasively manipulated single or few organisms to gain …
qualitatively described and invasively manipulated single or few organisms to gain …
[HTML][HTML] Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation
Abstract Machine learning-based imaging diagnostics has recently reached or even
surpassed the level of clinical experts in several clinical domains. However, classification …
surpassed the level of clinical experts in several clinical domains. However, classification …
Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence
Radiological images have been assessed qualitatively in most clinical settings by the expert
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
Present and future of the diagnostic work-up of multiple sclerosis: the imaging perspective
In recent years, the use of magnetic resonance imaging (MRI) for the diagnostic work-up of
multiple sclerosis (MS) has evolved considerably. The 2017 McDonald criteria show high …
multiple sclerosis (MS) has evolved considerably. The 2017 McDonald criteria show high …
Functional connectivity in multiple sclerosis: recent findings and future directions
Multiple sclerosis is a debilitating disorder resulting from scattered lesions in the central
nervous system. Because of the high variability of the lesion patterns between patients, it is …
nervous system. Because of the high variability of the lesion patterns between patients, it is …
Differentiation between multiple sclerosis and neuromyelitis optica spectrum disorder using a deep learning model
JM Seok, W Cho, YH Chung, H Ju, ST Kim, JK Seong… - Scientific reports, 2023 - nature.com
Multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) are
autoimmune inflammatory disorders of the central nervous system (CNS) with similar …
autoimmune inflammatory disorders of the central nervous system (CNS) with similar …
Neuroprogression and illness trajectories in bipolar disorder
Introduction: The longitudinal course of bipolar disorder is highly variable, and a subset of
patients seems to present a progressive course associated with brain changes and …
patients seems to present a progressive course associated with brain changes and …
Medical image identification methods: a review
J Li, P Jiang, Q An, GG Wang, HF Kong - Computers in Biology and …, 2023 - Elsevier
The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …
medical image retrieval and mining. Medical image data mainly include electronic health …
Machine learning use for prognostic purposes in multiple sclerosis
The course of multiple sclerosis begins with a relapsing-remitting phase, which evolves into
a secondarily progressive form over an extremely variable period, depending on many …
a secondarily progressive form over an extremely variable period, depending on many …