Results 171 to 180 of about 46,840 (304)

FDG‐PET Associations With Disease Severity and Outcomes in NMDA‐Receptor IgG Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Patients with N‐methyl‐D‐aspartate (NMDA) receptor‐immunoglobulin G (IgG) autoimmune encephalitis (NMDAR‐IgG AE) demonstrate occipital lobe hypometabolism on baseline brain fluorodeoxyglucose‐positron emission tomography (bFDG‐PET).
Jonathan K. Lee, Jeffrey Lambe, Scott Johnson, Akua Abrah, Jennifer Bullen, Jeffrey A. Cohen, Tatchaporn Ongphichetmetha, Amy Kunchok   +7 more
wiley   +1 more source

Voice-Based Structured Nursing Documentation Using Automatic Speech Recognition and Large Language Models: Development and Evaluation Study. [PDF]

JMIR Nurs
Su MH, Wang WC, Hsu YM, Hou SY, Chuang SJ, Chang SS.   +5 more
europepmc   +1 more source

Posterior Cortical Atrophy in the Asia‐Pacific: A Report From the PCA Asian Workgroup

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Posterior Cortical Atrophy (PCA) is a distinct dementia syndrome primarily affecting spatial abilities and visual processing. It is associated with degeneration in the posterior part of the brain. PCA is subclassified into PCA‐pure and PCA‐plus syndromes based on consensus criteria.
Yuttachai Likitjaroen, Ya‐Ting Chang, Levinia Lim, Pai‐Yi Chiu, Jung‐Lung Hsu, SangYun Kim, Wataru Narita, Na Young Ryoo, Kyoko Suzuki, Nagaendran Kandiah, Sebastian Crutch, Ming‐Chyi Pai   +11 more
wiley   +1 more source

Programmable Speech Recognition Based on Cu/CuBiSe₂/SrNbO₃/W Memristors. [PDF]

ACS Omega
Jin S, Wang M, Wang Z, Guo A, Luo H, Zhu Z, Xu H, Peng H, Su X, Wu J.   +9 more
europepmc   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini, Alessia Casarini, Niccolò Biagioli, Laura Mirandola, Daniela Ballotta, Paul Summers, Simona Scolastico, Laura Madrassi, Maurilio Genovese, Marcella Malagoli, Gaetano Cantalupo, Giada Giovannini, Matteo Pugnaghi, Niccolò Orlandi, Laura Tassi, Valeria Cuccarini, Domenico Aquino, Elena Tartara, Fulvia Palesi, Giuseppe Didato, Paolo Vitali, the 3TLE Study Group, Roberta Di Giacomo, Fabio Doniselli, Federica Mazzi, Carlo Andrea Galimberti, Claudia A. M. Gandini Wheeler‐Kingshott, Stefano Meletti, Anna Elisabetta Vaudano   +28 more
wiley   +1 more source

Adaptive Phoneme State Learning Architecture for Enhanced Speech Recognition Using Backpropagation Neural Network and Hidden Markov Model. [PDF]

F1000Res
Siddalingappa R, S D, Savitha M, P K, Stella Mary I P, Gornale S, B A L, Li K, Wen Goh K.   +8 more
europepmc   +1 more source

Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li, Guilin Meng, Zijie Wang, Xiao Hu, Jing Cheng, Chu Chen, Tiannan Yang, Jiaxin Luo, Zizhen Meng, Xueyun Liu, Qi Li   +10 more
wiley   +1 more source

A speech emotion recognition algorithm based on DN-ResNet11

Dianxin kexue
To address the high complexity of network training and improve speech emotion feature extraction, a dual-branch feature extraction model based on DN-ResNet11 and a channel attention residual network (CRNet) was proposed.
YING Na, ZOU Yujian, YANG Xueying, SUN Wensheng, YE Xueyi, JIANG Yinhe   +5 more
doaj  

Speech Recognition with an fMRISNN Constrained by Human Functional Brain Networks: A Study of Enhanced MFCC-Driven Sparse Spike Encoding. [PDF]

Biomimetics (Basel)
Guo L, Ma N, Wang Z, Liu R.
europepmc   +1 more source

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

, 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