Results 71 to 80 of about 107,942 (280)

Changes in Immune‐Inflammation Status and Acute Ischemic Stroke Prognosis in Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Inflammation is a critical risk factor for poor outcomes in cerebral infarction. Prior studies focused primarily on baseline inflammation status, neglecting dynamic longitudinal changes. We try to investigate the association between immune‐inflammation status alterations and stroke prognosis, and evaluated three systemic biomarkers'
Songfang Chen, Wenting Huang, Yitian Liu, Xuan Chen, Buyu Ke, Qian Shen, Hanyu Cai, Jing Sun, Yan Li, Yungang Cao, Beilei Hu, Keyang Chen   +11 more
wiley   +1 more source

An exploration of the performances achievable by combining unsupervised background subtraction algorithms [PDF]

, 2022
Sébastien Pierard, Marc Braham, Marc Van Droogenbroeck   +2 more
openalex   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Fast image processing with constraints by solving linear PDEs

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2007
We present a general framework that allows image filtering by minimization of a functional using a linear and positive definite partial differential equation (PDE) while also permitting to control the weight of each pixel individually.
Witali Kusnezow, Wilfried Horn, Rolf P. Wurtz   +2 more
doaj   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Penerapan Metode Background Subtraction Untuk Deteksi Gerak Pada Kendaraan [PDF]

, 2021
Yovi Apridiansyah, Javier Rezon Gumiri
openalex   +1 more source

Validation of a Genetic Risk Score Combined with Clinical Variables for Predicting Pulmonary Fibrosis in early Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Objectives Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). The study aimed to externally validate a genetic risk score (GRS) and a combined risk score for predicting the risk of RA‐associated PF in an independent cohort of early‐RA patients. Methods This study utilized an inception cohort of 1118 patients
Mikael Brink, Austin Wheeler, Bryant R. England, Solbritt Rantapää‐Dahlqvist   +3 more
wiley   +1 more source

Background subtraction with a moving camera

2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
Moving object segmentation with a nonstationary camera is a difficult problem due to the motion of both camera and the object. A moving object segmentation method is proposed in this work to be used in pan-tilt-zoom (PTZ) cameras. The method is based on composing scene mosaic and applying Gaussian mixture background subtraction algorithm after ...
Topcu, Osman, Kalem, Aslihan, Esen, Ersin   +2 more
openaire   +3 more sources

Evaluation of the Potential of Laser Shock Peening Compared with Cold Expansion for Improving Fatigue Resistance of Riveted Lap Joints of Aerospace Grade 7175 Al Alloy

Advanced Engineering Materials, EarlyView.
This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar, David Osman Busse, Maximilian Sprengel, Domenico Furfari, Marc‐André Nielsen, Guilherme Abreu Faria, Jérémy Epp   +6 more
wiley   +1 more source

Robust Background Subtraction via the Local Similarity Statistical Descriptor

Applied Sciences, 2017
Background subtraction based on change detection is the first step in many computer vision systems. Many background subtraction methods have been proposed to detect foreground objects through background modeling.
Dongdong Zeng, Ming Zhu, Tongxue Zhou, Fang Xu, Hang Yang   +4 more
doaj   +1 more source