Results 151 to 160 of about 153,905 (312)

Cluster-analytic classification of facial expressions using infrared measurements of facial thermal features

open access: yes
In previous research, scientists were able to use transient facial thermal features extracted from Thermal Infra-Red Images (TIRIs) for making binary distinction between the affective states.
Khan, Masood Mehmood
core  

Intelligent emotion recognition from facial and whole-body expressions using adaptive ensemble models

open access: yes, 2015
Automatic emotion recognition has been widely studied and applied to various computer vision tasks (e.g. health monitoring, driver state surveillance, personalized learning, and security monitoring).
Zhang, Yang
core  

A novel facial expression recognition method using bi-dimensional EMD based edge detection [PDF]

open access: yes, 2010
Facial expressions provide an important channel of nonverbal communication. Facial recognition techniques detect people’s emotions using their facial expressions and have found applications in technical fields such as Human-Computer-Interaction (HCI) and
NC DOCKS at Western Carolina University   +1 more
core  

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach   +23 more
wiley   +1 more source

CAR T‐Cell Therapy in Neurology: A Scoping Review of Neuro‐Oncology, Autoimmune Diseases & Neurotoxicity

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Chimeric antigen receptor (CAR) T‐cell therapy has been investigated in neurological diseases, encompassing both central nervous system malignancies and autoimmune disorders, thereby extending its application beyond hematological cancers.
Omar Alqaisi   +5 more
wiley   +1 more source

Facial expression at retrieval affects recognition of facial identity

open access: yes, 2015
It is well known that memory can be modulated by emotional stimuli at the time of encoding and consolidation. For example, happy faces create better identity recognition than faces with certain other expressions.
Ren, Naixin   +5 more
core  

Problematic Internet Use in Frontotemporal Dementia: A Case Series

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The present study investigated problematic internet use (PIU) among 61 patients with frontotemporal dementia (FTD) compared to a cohort of 354 patients with mild cognitive impairment (MCI) and Alzheimer's dementia. PIU was identified in 22.9% of FTD patients compared to only 0.8% of AD patients (p < 0.001). Behaviors included compulsive social
Daniele Urso   +9 more
wiley   +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

Facial flushing during provocation in women

open access: yes, 1999
Facial flushing was studied in 38 young women who scored high or low on trait anger. To induce anger in the subjects, their task was to solve a difficult puzzle, with or without harassment from a female research assistant.
Drummond, P.D., Peter D. Drummond
core  

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

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