Results 91 to 100 of about 31,626,034 (311)

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

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

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

Toward massive query optimization in large-scale distributed stream systems [PDF]

, 2008
10.1007/978-3-540-89856-6_17Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)5346 LNCS326 ...
Kian-Lee Tan, Zhou, Yongluan, Yongluan Zhou, Karl Aberer, Aberer, K., Tan, K.-L., Zhou, Y., Aberer, Karl, Tan, Kian-Lee   +8 more
core   +2 more sources

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

H–trace: a fine–grained access control and traceability framework for medical data sharing based on administrative hierarchies

Journal of King Saud University: Computer and Information Sciences
The rapid digitalization of healthcare is driving medical data sharing across hospitals, departments, regional centers, and health authorities. In such cross-domain settings, secure sharing requires fine-grained authorization, chain-confirmed revocation,
Wanbin Liu, Ye Lu, Wenyi Chang, Jiayi Dong, Zhiqiang Zhang   +4 more
doaj   +1 more source

Dysregulated Cholesterol Metabolism, Chronic Inflammation, and Disability in Severe Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Dysregulated lipid metabolism, which can affect remyelination and neural repair, has not been extensively investigated in progressive multiple sclerosis (PMS). The goal was to examine whether dysregulated cholesterol metabolism was associated with disability in PMS. Methods The study sample comprised 53 Severe PMS patients (Expanded
Taylor R. Wicks, Mujeeb Shittu, Anna Wolska, Diala Ghazal, Bianca Weinstock‐Guttman, Alexander Burnham, Alan T. Remaley, Robert Zivadinov, Murali Ramanathan   +8 more
wiley   +1 more source

GFRNet: Rethinking the global contexts extraction in medical images segmentation through matrix factorization and self‐attention

IET Computer Vision
Due to the large fluctuations of the boundaries and internal variations of the lesion regions in medical image segmentation, current methods may have difficulty capturing sufficient global contexts effectively to deal with these inherent challenges ...
Lifang Chen, Shanglai Wang, Li Wan, Jianghu Su, Shunfeng Wang   +4 more
doaj   +1 more source

Fast randomized test-and-set and renaming [PDF]

, 2010
10.1007/978-3-642-15763-9_9Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)6343 LNCS94 ...
Guerraoui, Rachid, Seth Gilbert, Andrei Giurgiu, Hagit Attiya, Alistarh, Dan, Attiya, Hagit, Gilbert, S., Gilbert, Seth, Attiya, H., Guerraoui, R., Alistarh, D., Giurgiu, A., Giurgiu, Andrei, Rachid Guerraoui, Dan Alistarh   +14 more
core   +3 more sources

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