Results 61 to 70 of about 12,060,028 (242)
Multistep Networks for Deformable Multimodal Medical Image Registration
IEEE AccessWe proposed neural networks for deformable multimodal medical image registration that use multiple steps and varying resolutions. The networks were trained jointly in an unsupervised manner with Mutual Information and Gradient L2 loss.
Anika Strittmatter, Frank G. Zollner
doaj +1 more source
Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd +118 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera +20 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingFeature representation is a crucial issue in multimodal image registration. The handcrafted features extracted by traditional methods are highly sensitive to nonlinear radiation differences, while supervised learning methods are limited by deficient ...
Zhen Han +6 more
doaj +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Application of Generalized Partial Volume Estimation for Mutual Information based Registration of High Resolution SAR and Optical Imagery [PDF]
, 2008 Mutual information (MI) has proven its effectiveness for automated multimodal image registration for numerous remote sensing applications like image fusion.
Reinartz, Peter, Suri, Sahil
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Scientific ReportsMultimodal image registration plays a crucial role in biomedical research, enabling the integration of complementary information from different imaging techniques.
Mohammad Javad Shojaei +4 more
doaj +1 more source
Biomedical Journal, 2017 Background: Imaging modalities in medicine gives complementary information. Inadequacy in clinical information made single imaging modality insufficient.
Siddeshappa Nandish +2 more
doaj +1 more source
Metabolic and Fluid Biomarkers Support Microglia Activation in Amyotrophic Lateral Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Amyotrophic lateral sclerosis is an incurable neurodegenerative disease involving motor neuron degeneration and metabolic and immune dysfunction. We combined clinical data, cerebrospinal fluid biomarkers and fluorodeoxyglucose positron emission tomography with magnetic resonance imaging to investigate the role of reactive microglia in disease ...
Matteo Zanovello +10 more
wiley +1 more source
Diffeomorphic Demons using Normalised Mutual Information, Evaluation on Multi-Modal Brain MR Images [PDF]
, 2010 The demons algorithm is a fast non-parametric non-rigid registration method. In recent years great efforts have been made to improve the approach; the state of the art version yields symmetric inverse-consistent large-deformation diffeomorphisms. However,
Ourselin, S +5 more
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