Automated segmentation of tissues using CT and MRI: a systematic review

L Lenchik, L Heacock, AA Weaver, RD Boutin… - Academic radiology, 2019 - Elsevier
Rationale and Objectives The automated segmentation of organs and tissues throughout the
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 …

Gut microbiome in progressive multiple sclerosis

LM Cox, AH Maghzi, S Liu, SK Tankou… - Annals of …, 2021 - Wiley Online Library
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 …

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

C Gros, B De Leener, A Badji, J Maranzano, D Eden… - Neuroimage, 2019 - Elsevier
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 …

Neurofilament light chain serum levels correlate with 10‐year MRI outcomes in multiple sclerosis

T Chitnis, C Gonzalez, BC Healy… - Annals of clinical …, 2018 - Wiley Online Library
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 …

Multiple sclerosis lesion segmentation with tiramisu and 2.5 d stacked slices

H Zhang, AM Valcarcel, R Bakshi, R Chu… - … Image Computing and …, 2019 - Springer
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 …

Lesion network localization of depression in multiple sclerosis

SH Siddiqi, I Kletenik, MC Anderson, M Cavallari… - Nature Mental …, 2023 - nature.com
Multiple sclerosis (MS), a demyelinating disease that causes focal white matter lesions, is
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 …

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 …

Early predictors of clinical and MRI outcomes using least absolute shrinkage and selection operator (LASSO) in multiple sclerosis

G Bose, BC Healy, HA Lokhande… - Annals of …, 2022 - Wiley Online Library
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 …