Results 131 to 140 of about 781,601 (304)

Brain magnetic resonance imaging predictors in anti‐N‐methyl‐D‐aspartate receptor encephalitis

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1974-1984, December 2022., 2022
Abstract Objective Brain magnetic resonance imaging (MRI) findings in anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis are nonspecific and rarely have obvious associations with clinical characteristics and outcomes. This study aimed to comprehensively describe the MRI features of patients with NMDAR encephalitis, examine their associations with ...
Ying‐Ying Zhao, Bing Han, Cui‐Hong Qin, Xue‐Xiu Shi, Wen‐Jing Yun, Meng Wang, Bo Yuan, Tong‐Wen Sun, Hai‐Xu Wang   +8 more
wiley   +1 more source

Design of interactive systems: Information visualization methods of self-service technology in fast food restaurants

Computers in Human Behavior Reports
Technology and digital management have been introduced into the service industry and have gradually changed the lifestyle of consumers. With the popularization of automation systems and the shortage of human resources, the development and application of ...
Yi-Shan Lee, Szu-Chi Chen, Yunqian Zhan, Meng-Cong Zheng   +3 more
doaj  

Factoring User Experience into the Design of Ambient and Mobile Systems

, 2008
Michael D. Harrison, Christian Kray, Zhiyu Sun, Huqiu Zhang   +3 more
openalex   +1 more source

The anterior nucleus of the thalamus plays a role in the epileptic network

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 2010-2024, December 2022., 2022
Abstract Objectives We investigated both the metabolic differences and interictal/ictal discharges of the anterior nucleus of the thalamus (ANT) in patients with epilepsy to clarify the relationship between the ANT and the epileptic network. Methods Nineteen patients with drug‐resistant epilepsy who underwent stereoelectroencephalography were studied ...
Hao Yan, Xueyuan Wang, Tao Yu, Duanyu Ni, Liang Qiao, Xiaohua Zhang, Cuiping Xu, Wei Shu, Yuping Wang, Liankun Ren   +9 more
wiley   +1 more source

Techniques for mining the design of e-government services to enhance end-user experience

, 2008
Yiannis Panagis, Evangelos Sakkopoulos, Athanasios Tsakalidis, Giannis Tzimas, Spiros Sirmakessis, Miltiadis D. Lytras   +5 more
openalex   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

The effect of multi‐leaf collimator leaf width on VMAT treatment plan quality

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The advent of volumetric modulated arc therapy (VMAT) in radiotherapy has made it one of the most commonly used techniques in clinical practice. VMAT is the delivery of intensity modulated radiation therapy (IMRT) while the gantry is in motion, and existing literature has shown it has decreased treatment delivery times and the ...
Gregory Sadharanu Peiris, Brendan Whelan, Nicholas Hardcastle, Suzie Lynn Sheehy   +3 more
wiley   +1 more source

Measurement of CT radiation beam width with a pencil ionization chamber and radiopaque mask

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study compares fan beam CT scanner radiation beam widths measured with a pencil ionization chamber‐radiopaque mask technique with commonly used film and computed radiography (CR) measurements. Methods For a given fan beam CT scanner x‐ray beam, the ionization chamber‐mask technique determines the radiation beam width by exposing a
Rani Al‐Senan, David M. Gauntt, Gary T. Barnes   +2 more
wiley   +1 more source

Exhibition User Experience Research and Design for Applications of Context Awareness Technologies

, 2011
Jikun Liu, Xin Liu, Bingxue Gao, Jun Cai, Jenny Wang, Qing Liu   +5 more
openalex   +1 more source

T2‐weighted imaging of rectal cancer using a 3D fast spin echo sequence with and without deep learning reconstruction: A reader study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare image quality and clinical utility of a T2‐weighted (T2W) 3‐dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).
Dan Nguyen, Sarah Palmquist, Ken‐Pin Hwang, Jingfei Ma, Usama Salem, Jia Sun, Xinzeng Wang, Jong Bum Son, Randy Ernst, Peng Wei, Harmeet Kaur, Nir Stanietzky   +11 more
wiley   +1 more source