Results 211 to 220 of about 468,322 (270)

Correction for Agrawal and Dehaene, From retinotopic to ordinal coding: Dissecting the cortical stages of visual word recognition. [PDF]

Proc Natl Acad Sci U S A
europepmc   +1 more source

Classification of Osteonecrosis of the Femoral Head Stage on Radiographic Images Using Deep Learning Techniques. [PDF]

Bioengineering (Basel)
Lee HH, Jeong J, Shin T, Chae DS.
europepmc   +1 more source

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, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

A dual-branch network for lesion segmentation in medical images using state space models. [PDF]

Quant Imaging Med Surg
Chen H, Min BW, Zhang H.
europepmc   +1 more source

U-space and Air Mobility Services Deployment Plan

This report will include the deployment plan both software and hardware components for the Uspace and UAM services and technologies previously ...
openaire   +1 more source

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai, Yang Qu, Reziya Abuduxukuer, Kejia Zhang, Peng Zhang, Xin Tang, Huaimei Zhang, Lijuan Wang, Lichong Yang, Shuangxu Tan, Zhimei Yuan, Ce Han, Lili He, Yuping Zheng, Fenglan Zhao, Lijie Guo, Ligang Jiang, Jinfeng Li, Yongfei Jiang, Xuexia Zou, Dan Xu, Han Xu, Xiaojia Wang, Yingbin Qi, Xuefeng Hu, Yu Zhang, Zhen‐Ni Guo, Hang Jin, on behalf of the Biomarkers of Brain Injury Investigator Study Group   +28 more
wiley   +1 more source

Influencing Factors of Pine Wood Milling Force Based on Principal Component Analysis and Multiple Linear Regression. [PDF]

Materials (Basel)
Shen B, Buck D, Yuan Z, Zhu Z.
europepmc   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases. [PDF]

J Chem Theory Comput
Song M, Li Manni G.
europepmc   +1 more source

U-space TWICS: A meta U-space service concept to aid developing communications between autonomous uncrewed systems

Krause, Fabian, Nagarajan, Pranav
openaire   +1 more source