Results 161 to 170 of about 4,631,130 (249)

Microvascular Damage Is Associated With Carotid Wall Structural Changes in Systemic Sclerosis: A Capillaroscopy and Ultrasound‐Based Observational Study

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) is characterized by cardiovascular risk excess not fully explained by traditional factors. Whether the severity of microvascular damage correlates with structural subclinical atherosclerosis remains unclear. We investigated the relationship between nailfold videocapillaroscopy (NVC) abnormalities and carotid ...
Eugenio Capparelli, Luca Clerici, Francesco Lapia, Giusy C. Moltisanti, Eleonora Zaccara, Greta Pellegrino, Daniela Bompane, Francesca Capelli, Letizia Ferrami, Laura Castelnovo, Antonio Tamburello, Maria Sole Chimenti, Paola Faggioli, Antonino Mazzone   +13 more
wiley   +1 more source

Association of Deep Learning Imaging Algorithm Measures of Microbial Keratitis With Vision Outcomes. [PDF]

Cornea
Vogt EL, Niziol LM, Yang Z, Wang Y, Pawar M, Dmitriev P, Gupta AS, Armenti ST, Hood CT, Shtein RM, Kipley MM, Lee MC, Sumithra SR, Thulukanam M, Kochar P, Selvaraj S, Redd TK, Prajna NV, Farsiu S, Woodward MA.   +19 more
europepmc   +1 more source

Novel semi-automated fluorescence microscope imaging algorithm for monitoring IgG aggregates in serum. [PDF]

Sci Rep, 2021
Sreenivasan S, Sonawat D, Mandal S, Khare K, Rathore AS.   +4 more
europepmc   +1 more source

Estimating the Prevalence and Incidence of Symptomatic Hand Osteoarthritis in the Netherlands Using Primary Care Electronic Health Records

Arthritis Care &Research, EarlyView.
Objective Estimating the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information database, including EHRs from approximately ...
Onur Kaya, Jacoline van den Driest, Laura Struik, Margreet Kloppenburg, Ruud Selles, Daniel Prieto Alhambra, Sita Bierma‐Zeinstra, Dieuwke Schiphof   +7 more
wiley   +1 more source

Development and evaluation of an automated phase contrast magnetic resonance imaging algorithm for pediatric and adult cerebral blood flow measurement. [PDF]

Neuroradiology
Liu J, Torres I, Ranganathan S, Sussman BL, Doyle EK, Karnwal A, Nimmo ST, Tamrazi B, De Souza BJ, Chiarelli PA, Braskie MN, Yassine HN, Wood JC, Peterson BS, Borzage MT.   +14 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Three-Dimensional Array Interpolation Imaging Algorithm of Water Holdup by the Capacitance Array Tool of Oil-Water Two-Phase Flow in Horizontal Wells. [PDF]

Sensors (Basel)
Zhang D, Guo H, Sun Y, Fu A, Li A, Wang D, Guo Y, Ouyang M, Yu L, Peng W.   +9 more
europepmc   +1 more source

Choroidal Volume Evaluation after Photodynamic Therapy Using New Optical Coherence Tomography Imaging Algorithm. [PDF]

Pharmaceuticals (Basel), 2021
Sato-Akushichi M, Ono S, Klose G, Song Y.   +3 more
europepmc   +1 more source

A Semi-Automatic Magnetic Resonance Imaging Annotation Algorithm Based on Semi-Weakly Supervised Learning

The annotation of magnetic resonance imaging (MRI) images plays an important role in deep learning-based MRI segmentation tasks. Semi-automatic annotation algorithms are helpful for improving the efficiency and reducing the difficulty of MRI image ...
Shaolong Chen, Zhiyong Zhang
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source