Results 111 to 120 of about 295,233 (270)
Stochastic and semi-stochastic gradient descent in speech disambiguation
, 2018 Maja Gwóźdź
openalex +1 more source
Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt +5 more
wiley +1 more source
Optimization of Johnson-Cook Constitutive Model Parameters Using the Nesterov Gradient-Descent Method. [PDF]
Materials (Basel), 2023 Zelepugin SA +2 more
europepmc +1 more source
Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network [PDF]
Hyun‐Seok Oh, Youngki Lee
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Whole‐Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterize whole‐body intramuscular fat distribution pattern in patients with sarcoglycanopathies and explore correlations with disease severity, duration and age at onset. Methods Retrospective, cross‐sectional, multicentric study enrolling patients with variants in one of the four sarcoglycan genes who underwent whole‐body ...
Laura Costa‐Comellas +39 more
wiley +1 more source
Optimization of Gradient Descent Parameters in Attitude Estimation Algorithms. [PDF]
Sensors (Basel), 2023 Sever K, Golušin LM, Lončar J.
europepmc +1 more source
Natural Evolutionary Gradient Descent Strategy for Variational Quantum Algorithms
, 2023 Jianshe Xie +4 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation. [PDF]
Open Life Sci, 2023 Nagendram S +7 more
europepmc +1 more source