Polar Functions for Anisotropic Gaussian Random Fields
Abstract and Applied Analysis, 2014 Let X be an (N, d)-anisotropic Gaussian random field. Under some general conditions on X, we establish a relationship between a class of continuous functions satisfying the Lipschitz condition and a class of polar functions of X. We prove upper and lower
Zhenlong Chen
doaj +1 more source
Brain Tumor Segmentation Using Deep Capsule Network and Latent-Dynamic Conditional Random Fields. [PDF]
J Imaging, 2022 Elmezain M, Mahmoud A, Mosa DT, Said W.
europepmc +1 more source
Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu +16 more
wiley +1 more source
Co-occurrence probabilities between mosquito vectors of West Nile and Eastern equine encephalitis viruses using Markov Random Fields (MRFcov). [PDF]
Parasit Vectors, 2023 Sallam MF +10 more
europepmc +1 more source
Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams +14 more
wiley +1 more source
CRFalign: A Sequence-Structure Alignment of Proteins Based on a Combination of HMM-HMM Comparison and Conditional Random Fields. [PDF]
Molecules, 2022 Lee SJ +5 more
europepmc +1 more source
Local times of anisotropic Gaussian random fields and stochastic heat equation [PDF]
, 2023 Davar Khoshnevisan, Cheuk Yin Lee
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Network Localization of Fatigue in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source
Melanoma segmentation using deep learning with test-time augmentations and conditional random fields. [PDF]
Sci Rep, 2022 Ashraf H +4 more
europepmc +1 more source
Estimation of positive definite M-matrices and structure learning for\n attractive Gaussian Markov Random fields [PDF]
, 2014 Martin Slawski, Matthias Hein
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