Results 71 to 80 of about 30,520,612 (308)

Incremental algorithms for sampling dynamic graphs

, 2013
10.1007/978-3-642-40285-2_29Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)8055 LNCSPART 1327 ...
Lu, X., Bressan, Stéphane, Bressan, S., Tuan Quang Phan, Xuesong Lu, Stéphane Bressan, Phan, T.Q., Phan, Tuan Quang, Lu, Xuesong   +8 more
core   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

A foundation model for rock thin-section images analysis

Communications Engineering
Rock thin-section image analysis is a fundamental task in geological and mineralogical research. Traditional methods rely on visual inspection by experts using optical microscopes, which are inherently subjective, experience-dependent, and time-consuming.
Jiansong Fan, Xiaolu Yu, Yicheng Di, Tianxu Lv, Rui Zhang, Jiayu Bao, Yuan Liu, Lihua Li, Xiang Pan   +8 more
doaj   +1 more source

Authenticating Multi-Dimensional Query Results in Data Publishing [PDF]

, 2006
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)4127 LNCS60 ...
Weiwei Cheng, Kian-Lee Tan, Cheng, W., TAN, Kian-Lee, Pang, H., Tan, K.-L., PANG, Hwee Hwa, CHENG, Weiwei, HweeHwa Pang   +8 more
core   +1 more source

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie, Xiaotong Li, Venkata Sita Priyanka Illapani, Leigh N. Sepeta, Jason Schroeder, Chima O. Oluigbo, Madison M. Berl, William D. Gaillard, Nathan T. Cohen   +8 more
wiley   +1 more source

Teaching Artificial Intelligence and Robotics Via Games

, 2010
The Department of Computer Science at the University of Southern California recently created two new degree programs, namely a Bachelor's Program in Computer Science (Games) and a Master's Program in Computer Science (Game Development). In this paper, we
Koenig, Sven, Zink, Ryan, Wong, Daniel
core   +1 more source

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

Sub-Connection Learning for fMRI-Based Brain Functional Network

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Brain functional network analysis models the brain as a graph of regions of interest (ROIs) and quantifies the correlations across different regions derived from functional magnetic resonance imaging (fMRI).
Hui Huang, Zhaoxuan Zhu, Yisu Ge, Ruoxi Deng, Zhao-Min Chen   +4 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Artificial intelligence for triple-negative breast cancer from imaging to multi-omics

Frontiers in Oncology
BackgroundTriple-negative breast cancer (TNBC) is an aggressive and biologically heterogeneous breast cancer subtype for which robust biomarkers for diagnosis, treatment-response assessment, and prognosis remain limited.
Xing Peng, Xing Peng, Xinyu Zhou, Xin Feng, Nimin Fang, Xiaoya Dong, Wanjing Hong, Tianli Li, Tianli Li, Renxing Li, Mohammad Faidzul Nasrudin   +10 more
doaj   +1 more source