Results 51 to 60 of about 14,796 (293)

Compensating inaccurate annotations to train 3D facial landmark localisation models [PDF]

, 2013
In this paper we investigate the impact of inconsistency in manual annotations when they are used to train automatic models for 3D facial landmark localization. We start by showing that it is possible to objectively measure the consistency of annotations
Sukno, Federico M., Waddington, John L., Whelan, Paul F.   +2 more
core  

Facial Landmark Feature Fusion in Transfer Learning of Child Facial Expressions [PDF]

, 2022
Automatic classification of child facial expressions is challenging due to the scarcity of image samples with annotations. Transfer learning of deep convolutional neural networks (CNNs), pretrained on adult facial expressions, can be effectively ...
Witherow, Megan A., Iftekharuddin, Khan M., Samad, Manar D., Diawara, Norou   +3 more
core   +2 more sources

Modern Management of Asymptomatic Carotid Stenosis: A Meta‐Analysis of CREST‐2, SPACE‐2, and ECST‐2

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Recent randomized trials (CREST‐2, SPACE‐2, and ECST‐2) have compared carotid revascularization (carotid endarterectomy [CEA] or carotid artery stenting [CAS]) plus contemporary medical therapy (CMT) versus CMT alone in asymptomatic carotid stenosis.
Aasim Ali, Waqar Ahmed Cheema, Fiza Nisar, Muhammad Shamoon, Sameen Sarfaraz, Ahmad Butt, Muhammad Abdullah Ali, Armaghana Abdullah, Muhammad Asad Shabbir, Muhammad Talha, Hammad Azam, Aimen Anwaar Pannun, Usama Saleem, Anousha Tanveer, Mukesh Sharma   +14 more
wiley   +1 more source

A Statistical Approach to Facial Identification [PDF]

, 2009
This thesis describes the development of statistical methods for facial identification. The objective is to provide a technique which can provide answers based on probabilities to the question of whether two images of a face are from the same person or ...
Morecroft, L.C.
core  

Fast Localization of Facial Landmark Points [PDF]

Proceedings of the Croatian Computer Vision Workshop, 2014
Localization of salient facial landmark points, such as eye corners or the tip of the nose, is still considered a challenging computer vision problem despite recent efforts. This is especially evident in unconstrained environments, i.e., in the presence of background clutter and large head pose variations.
Nenad Markus, Miroslav Frljak, Igor S. Pandzic, Jörgen Ahlberg, Robert Forchheimer   +4 more
openaire   +3 more sources

Physician‐Scientist Pipeline for Pediatric Rheumatology: The Current Landscape and Future Perspectives

Arthritis Care &Research, EarlyView.
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu, Linda T. Hiraki, Mara L. Becker   +2 more
wiley   +1 more source

Cephalometric landmark detection without X-rays combining coordinate regression and heatmap regression

Scientific Reports, 2023
Fully automated techniques using convolutional neural networks for cephalometric landmark detection have recently advanced. However, all existing studies have adopted X-rays. The problem of direct exposure of patients to X-ray radiation remains unsolved.
Kaisei Takahashi, Yui Shimamura, Chie Tachiki, Yasushi Nishii, Masafumi Hagiwara   +4 more
doaj   +1 more source

HOF‐Stabilized Apple EV Nanocargo in an NIR‐Responsive Hydrogel Enables On‐Demand Therapeutic Modulation for Transdermal Deep‐Joint Osteoarthritis Therapy

Advanced Healthcare Materials, EarlyView.
An NIR‐responsive transdermal hydrogel integrating apple EV nanocargo, berberine, piperine, HOFs, and graphene oxide enables localized osteoarthritis modulation. The platform supports enhanced transdermal delivery together with mild hyperthermia‐associated and redox‐related responses, leading to reduced inflammation and oxidative stress, improved ...
Yu‐Wen Tseng, Pei‐Wei Weng, Hsien‐Tsung Lu, Jiunn‐Horng Kang, Lekha Rethi, Lekshmi Rethi, Yan‐Ting Chen, Hieu Trung Nguyen, Yao‐Tung Tsai, Andrew E.‐Y. Chuang   +9 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source