On critical points of Gaussian random fields under diffeomorphic transformations. [PDF]
Cheng D, Schwartzman A.
europepmc +1 more source
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 more
wiley +1 more source
ADeepCRF: real-time threat detection in IoT network using blockchain-based advanced proof of authority and adaptive deep conditional random fields. [PDF]
Mohan G, Shanmugavel TR.
europepmc +1 more source
Random fields and apparent exchange bias in the dilute Ising antiferromagnet Fe0.6Zn0.4F2. [PDF]
Joshi DC, Nordblad P, Mathieu R.
europepmc +1 more source
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients who were newly diagnosed with PsA between 2013 and 2023.
Batoul Hojeij +11 more
wiley +1 more source
Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation. [PDF]
Cassidy B +6 more
europepmc +1 more source
Modeling material stress using integrated Gaussian Markov random fields. [PDF]
Marcy PW +4 more
europepmc +1 more source
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera +8 more
wiley +1 more source
Pulmonary vessel segmentation in computed tomography images: a cascaded approach combining U-Net and parameter-adaptive fully connected conditional random fields. [PDF]
Xue Z, Sun Y, Tong G, Wang Z, Zhao X.
europepmc +1 more source
Accurate determination of node and arc multiplicities in de bruijn graphs using conditional random fields. [PDF]
Steyaert A, Audenaert P, Fostier J.
europepmc +1 more source

