Results 121 to 130 of about 396,477 (272)
Registration of Multimodal Medical Images
Computer Science Journal of Moldova, 2009 Medical images are increasingly being used within healthcare for diagnosis, planning treatment, guiding treatment and monitoring disease progression. Within medical research (e.g. neuroscience research) they are used to investigate disease processes and understand normal development and ageing.
Costin, H., Rotariu, C.
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Frailty Exacerbates Disability in Progressive Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source
A CNN‐transformer‐based unsupervised aware hierarchical network for medical image registration
Electronics LettersMedical 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
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A Plug-In Curriculum Scheduler for Improved Deformable Medical Image Registration
IEEE AccessDeformable 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
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Dual attention network for unsupervised medical image registration based on VoxelMorph. [PDF]
Sci Rep, 2022 Li YX, Tang H, Wang W, Zhang XF, Qu H.
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GAN Based Medical Image Registration
, 2018 Conventional approaches to image registration consist of time consuming iterative methods. Most current deep learning (DL) based registration methods extract deep features to use in an iterative setting. We propose an end-to-end DL method for registering multimodal images.
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Medical image registration using compactly supported functions
Communications in Applied and Industrial Mathematics, 2013 In this paper we consider landmark-based image registration using radial basis function interpolation schemes. More precisely, we analyze some landmark-based image transformations defined by means of compactly supported radial basis functions, namely multivariate Wendland’s and Gneiting’s functions.
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai +28 more
wiley +1 more source
An efficient hybrid method for 3D to 2D medical image registration. [PDF]
Int J Comput Assist Radiol Surg, 2022 Saadat S +6 more
europepmc +1 more source