Results 121 to 130 of about 15,727 (262)

Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI. [PDF]

Neuroimage Clin, 2019
Shinde S, Prasad S, Saboo Y, Kaushick R, Saini J, Pal PK, Ingalhalikar M.   +6 more
europepmc   +1 more source

Sex‐Stratified Association of Regional Dopamine Transporter Binding With Disease Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe, Keizo Sugaya, Kentaro Hayashi, Keiko Hino, Yasuhiro Nakata, Kota Bokuda, Toshio Shimizu, Kazushi Takahashi   +7 more
wiley   +1 more source

Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, With Applications to Neural Nets. [PDF]

Front Comput Neurosci, 2018
Delahunt CB, Riffell JA, Kutz JN.
europepmc   +1 more source

Neural nets

Научно-технический вестник информационных технологий, механики и оптики, 2007
Научный руководитель С.А. Ермолаева. В статье рассматриваются некоторые наиболее интересные свойства современных нейронных сетей, их устройство и характеристики. Также приведена краткая история появления современных методов искусственного интеллекта, моделирующих деятельность человеческого мозга.
openaire   +1 more source

Early Recognition of Treatment‐Responsive Rapidly Progressive Dementia: The Modified STAM3mP Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Early identification of patients with treatment‐responsive rapidly progressive dementia (RPD) is important as early treatment improves outcomes. The STAM3P score identifies treatment‐responsive RPD using “high risk” presenting features. We optimized performance by adding a time component (i.e., dementia within 3 months) and validated the ...
R. W. van Steenhoven, N. Satyadev, A. E. M. Bastiaansen, Y. D. Piura, J. Kerstens, Y. S. Crijnen, J. Brenner, T. Brand, T. M. Bienfait, S. Veenbergen, J. M. de Vries, F. J. de Jong, E. G. P. Dopper, P. A. E. Sillevis Smitt, H. Seelaar, G. S. Day, M. J. Titulaer   +16 more
wiley   +1 more source

Region-Based Convolutional Neural Nets for Localization of Glomeruli in Trichrome-Stained Whole Kidney Sections. [PDF]

J Am Soc Nephrol, 2018
Bukowy JD, Dayton A, Cloutier D, Manis AD, Staruschenko A, Lombard JH, Solberg Woods LC, Beard DA, Cowley AW.   +8 more
europepmc   +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

Two Machine Learning Models to Economize Glaucoma Screening Programs: An Approach Based on Neural Nets. [PDF]

J Pers Med
Hitzl W, Lenzhofer M, Hohensinn M, Reitsamer HA.   +3 more
europepmc   +1 more source

Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images. [PDF]

Biomed Opt Express, 2018
Shah A, Zhou L, Abrámoff MD, Wu X.
europepmc   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source