Abstract Objective Quantitative assessment of extent of tissue resection following epilepsy surgery requires accurate delineation of the resection cavity on postoperative magnetic resonance imaging (MRI). Current methods for resection cavity masking are time‐consuming and labor‐intensive, and existing automated approaches exhibit variable segmentation ...
Jieun Seo +91 more
wiley +1 more source
Integrating graph convolutional networks with large language models for structured biomedical material knowledge representation. [PDF]
Li M +11 more
europepmc +1 more source
An algorithm for seizure detection in rodents
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky +9 more
wiley +1 more source
Real-time analysis of soccer ball-player interactions using graph convolutional networks for enhanced game insights. [PDF]
Majeed F +4 more
europepmc +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Multi-Modal Diagnosis of Alzheimer's Disease Using Interpretable Graph Convolutional Networks. [PDF]
Zhou H, He L, Chen BY, Shen L, Zhang Y.
europepmc +1 more source
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani +4 more
wiley +1 more source
Enhancing biometric identification using 12-lead ECG signals and graph convolutional networks. [PDF]
Al Alfi M, Peris-Lopez P, Camara C.
europepmc +1 more source
Smart Parking Systems: A Review of Optimization Techniques and Technological Advances
This review highlights optimization techniques and recent technological advances in smart parking systems, emphasizing their role in enhancing efficiency, reducing congestion, and improving user experience. It provides insights into innovative approaches that shape the future of sustainable and intelligent urban mobility. ABSTRACT In heavily populated,
Amirhossein Khosravi Sarvenoee +5 more
wiley +1 more source
Immune status assessment based on plasma proteomics with meta graph convolutional networks. [PDF]
Zhang M +8 more
europepmc +1 more source

