Results 71 to 80 of about 554,243 (265)

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi   +9 more
wiley   +1 more source

Detecting and Grouping Identical Objects for Region Proposal and Classification

open access: yes, 2017
Often multiple instances of an object occur in the same scene, for example in a warehouse. Unsupervised multi-instance object discovery algorithms are able to detect and identify such objects.
Abbeloos, Wim   +5 more
core   +1 more source

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin   +11 more
wiley   +1 more source

Multi-task mutual learning for vehicle re-identification [PDF]

open access: yes, 2019
Vehicle re-identification (Re-ID) aims to search a specific vehicle instance across non-overlapping camera views. The main challenge of vehicle Re-ID is that the visual appearance of vehicles may drastically changes according to diverse viewpoints and ...
Gong, S   +4 more
core  

Computing the Stereo Matching Cost with a Convolutional Neural Network

open access: yes, 2015
We present a method for extracting depth information from a rectified image pair. We train a convolutional neural network to predict how well two image patches match and use it to compute the stereo matching cost.
LeCun, Yann, Žbontar, Jure
core   +1 more source

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru   +13 more
wiley   +1 more source

Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points

open access: yesAnalytical Cellular Pathology, 1998
Automatic cell segmentation has various application potentials in cytometry and histometry. In this paper, an automatic cluster (touching) cell segmentation approach using the dominant contour feature points has been presented.
U. Pal   +2 more
doaj   +1 more source

MixAugment & Mixup: Augmentation Methods for Facial Expression Recognition [PDF]

open access: yes, 2022
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))   +1 more
core   +2 more sources

A Qualitative Analysis of Patient Perspectives and Preferences in Lupus Management to Guide Lupus Guidelines Development

open access: yesArthritis Care &Research, EarlyView.
Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg   +20 more
wiley   +1 more source

Quantification Method for In-Vitro Tissue Culture Plants Morphology using Object Tracking and Digital Image Analysis [PDF]

open access: yes, 2008
Manual measurement of morphology variables on in-vitro stored plants usually cause either physical damage or microorganism infection such that further monitoring of their in-vitro performance is precluded. This study adapted computer vision technology by
., Sutoro   +3 more
core  

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