Results 131 to 140 of about 399,723 (262)

Medical image registration via neural fields

open access: yesMedical Image Analysis
Image registration is an essential step in many medical image analysis tasks. Traditional methods for image registration are primarily optimization-driven, finding the optimal deformations that maximize the similarity between two images. Recent learning-based methods, trained to directly predict transformations between two images, run much faster, but ...
Shanlin Sun   +10 more
openaire   +3 more sources

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel   +8 more
wiley   +1 more source

A CNN‐transformer‐based unsupervised aware hierarchical network for medical image registration

open access: yesElectronics Letters
Medical image registration is a fundamental and important technique in the field of medical image analysis. This study proposes a novel unsupervised end‐to‐end registration network, aiming to enable the model to actively acquire image features in the ...
Bo Fang, Lisheng Wang
doaj   +1 more source

A Plug-In Curriculum Scheduler for Improved Deformable Medical Image Registration

open access: yesIEEE Access
Deformable image registration is a crucial task in medical image analysis, and its complexity has spurred significant research and ongoing progress. Much of the work in this area has concentrated on achieving incremental performance gains by adjusting ...
Jiyoon Shin, Youngwook Kim, Jungwoo Lee
doaj   +1 more source

An efficient hybrid method for 3D to 2D medical image registration. [PDF]

open access: yesInt J Comput Assist Radiol Surg, 2022
Saadat S   +6 more
europepmc   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang   +10 more
wiley   +1 more source

Medical Image Registration Algorithm Based on Bounded Generalized Gaussian Mixture Model. [PDF]

open access: yesFront Neurosci, 2022
Wang J   +6 more
europepmc   +1 more source

CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang   +6 more
wiley   +1 more source

A Medical Image Registration Method Based on Progressive Images. [PDF]

open access: yesComput Math Methods Med, 2021
Zheng Q   +5 more
europepmc   +1 more source

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang   +22 more
wiley   +1 more source

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