Results 71 to 80 of about 719,897 (244)

Association Between Motor Pathway Damage and Motor Deficit in Upper and Lower Limb in People With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corticospinal tract damage is common in people with MS, but the degree of clinical symptoms varies. We hypothesize that corticospinal tract lesions are more extensive and severe in people with MS with motor impairments in both upper and lower limbs.
Mathilde Liffran, Malo Gaubert, Alice Dufey, Elise Bannier, Audrey Rico, Jean‐Christophe Ferré, Raphaël Chouteau, Laure Michel, Emmanuelle Le Page, Virginie Callot, Bertrand Audoin, Sarah Demortière, Benoît Combès, Anne Kerbrat   +13 more
wiley   +1 more source

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

Annals 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, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

Channel Adaptation Based on Deep Neural Networks for Speaker Verification

工程科学与技术, 2016
:Inordertohandlethechannelconditiondistortionsbetweentrainandtestspeechinspeakerverification,basedonthedeepneuralnetworks,achanneladaptationapproachwasproposed.First,severalphoneticdeepneuralnetworks(DNNs)weretrainedon ...
龙艳花, 倪继锋, 叶宏
doaj  

Forensic Speaker Verification Using Ordinary Least Squares

Sensors, 2019
In Brazil, the recognition of speakers for forensic purposes still relies on a subjectivity-based decision-making process through a results analysis of untrustworthy techniques.
Thyago J. Machado, Jozue Vieira Filho, Mario A. de Oliveira   +2 more
doaj   +1 more source

Onasemnogene Abeparvovec in Patients With SMA: Interim Results of the RESTORE Registry in Japan

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective There are limited real‐world data regarding the safety and effectiveness of onasemnogene abeparvovec (OA; Zolgensma) infusion, a one‐time gene replacement therapy, for Japanese patients with spinal muscular atrophy (SMA). We aimed to improve understanding of the real‐world outcomes for OA in Japan.
Kayoko Saito, Kamal Benguerba, Ken Tsuchida, Kazushige Yazawa, Isao Tsumiyama, Hiromitsu Kayama, Sandra P. Reyna, Farid Khan, Richard S. Finkel   +8 more
wiley   +1 more source

Leveraging Large Language Models for Robust Speaker Verification

IEEE Access
Speaker verification (SV) has become increasingly crucial in voice authentication, security, and human-computer interaction systems. However, existing SV models often rely on task-specific architectures and require large amounts of speaker-labeled data ...
Xuehua Zhang, Yuntao Sun, Yanting Sun
doaj   +1 more source

Supervector Extraction for Encoding Speaker and Phrase Information with Neural Networks for Text-Dependent Speaker Verification

Applied Sciences, 2019
In this paper, we propose a new differentiable neural network with an alignment mechanism for text-dependent speaker verification. Unlike previous works, we do not extract the embedding of an utterance from the global average pooling of the temporal ...
Victoria Mingote, Antonio Miguel, Alfonso Ortega, Eduardo Lleida   +3 more
doaj   +1 more source

White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian, Tianjia Zhu, Hao Huang, Shavonne L. Massey, Mark P. Fitzgerald, Darshana Parikh, Arastoo Vossough, Ingo Helbig, Nicholas S. Abend   +8 more
wiley   +1 more source

Bayes factor scoring of GMMs for speaker verification [PDF]

, 2004
This paper implements and assesses the Bayes factor as a replacement verification criterion to the likelihood-ratio test in the context of GMM-based speaker verification.
Vogt, Robert J., Sridharan, Sridha
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