Results 51 to 60 of about 384,952 (256)

Automating image analysis by annotating landmarks with deep neural networks [PDF]

open access: yes, 2017
Image and video analysis is often a crucial step in the study of animal behavior and kinematics. Often these analyses require that the position of one or more animal landmarks are annotated (marked) in numerous images. The process of annotating landmarks
Betke, Margrit   +3 more
core   +1 more source

UcoSLAM: Simultaneous Localization and Mapping by Fusion of KeyPoints and Squared Planar Markers

open access: yes, 2019
This paper proposes a novel approach for Simultaneous Localization and Mapping by fusing natural and artificial landmarks. Most of the SLAM approaches use natural landmarks (such as keypoints).
Medina-Carnicer, Rafael   +1 more
core   +1 more source

Discrepancies in Knee Joint Moments Using Common Anatomical Frames Defined by Different Palpable Landmarks [PDF]

open access: yes, 2008
The aim was to investigate the effects of three anatomical frames using palpable anatomical landmarks of the knee on the net knee joint moments. The femoral epicondyles, femoral condyles, and tibial ridges were used to define the different anatomical ...
Bower, Judith   +2 more
core   +1 more source

Meningovascular Inflammation in Cerebral Amyloid Angiopathy‐Related Cortical Superficial Siderosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The role of inflammation in cortical superficial siderosis (cSS), a marker of cerebral amyloid angiopathy (CAA) linked to high hemorrhage risk, is unclear. We examined 15 patients with cSS using 3 T post‐contrast vessel wall MRI (VWI) and CSF analysis.
Philipp Arndt   +8 more
wiley   +1 more source

Secular Trends in the Size and Shape of the Scapula among the Portuguese between the 19th and the 21st Centuries

open access: yesBiology, 2023
Potential secular changes in the human scapula are fundamentally unbeknownst, with most of the preceding anatomical studies focusing on long-term changes in the long bones and the skull.
Ruben Maranho   +2 more
doaj   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett   +8 more
wiley   +1 more source

An Audio-Based SLAM for Indoor Environments: A Robotic Mixed Reality Presentation

open access: yesSensors
In this paper, we present a novel approach referred to as the audio-based virtual landmark-based HoloSLAM. This innovative method leverages a single sound source and microphone arrays to estimate the voice-printed speaker’s direction.
Elfituri S. F. Lahemer, Ahmad Rad
doaj   +1 more source

GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks

open access: yes, 2018
Facial landmarks constitute the most compressed representation of faces and are known to preserve information such as pose, gender and facial structure present in the faces.
Di, Xing   +2 more
core   +1 more source

Reduction in Renal Relapse and Preservation of Long‐Term Kidney Function After Lupus Low Disease Activity in Patients With Lupus Nephritis

open access: yesArthritis Care &Research, EarlyView.
Objective Lupus low disease activity state (LLDAS) is a validated treatment target in systemic lupus erythematosus (SLE), but limited studies have explored the role of LLDAS in lupus nephritis (LN). This study aims to investigate the frequency and predictors of LLDAS attainment and its benefit on LN relapse and renal function preservation in patients ...
Chak Kwan Cheung   +6 more
wiley   +1 more source

Fast Spectral Clustering Using Autoencoders and Landmarks

open access: yes, 2017
In this paper, we introduce an algorithm for performing spectral clustering efficiently. Spectral clustering is a powerful clustering algorithm that suffers from high computational complexity, due to eigen decomposition.
A Choromanska   +5 more
core   +1 more source

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