76   Artículos

 
en línea
Navid Khalili Dizaji and Mustafa Dogan    
Brain tumors are one of the deadliest types of cancer. Rapid and accurate identification of brain tumors, followed by appropriate surgical intervention or chemotherapy, increases the probability of survival. Accurate determination of brain tumors in MRI ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Longxin Yao, Yun Lu, Mingjiang Wang, Yukun Qian and Heng Li    
The construction of complex networks from electroencephalography (EEG) proves to be an effective method for representing emotion patterns in affection computing as it offers rich spatiotemporal EEG features associated with brain emotions. In this paper, ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Md Easin Hasan and Amy Wagler    
Neuroimaging experts in biotech industries can benefit from using cutting-edge artificial intelligence techniques for Alzheimer?s disease (AD)- and dementia-stage prediction, even though it is difficult to anticipate the precise stage of dementia and AD.... ver más
Revista: AI    Formato: Electrónico

 
en línea
Sarfaraz Natha, Umme Laila, Ibrahim Ahmed Gashim, Khalid Mahboob, Muhammad Noman Saeed and Khaled Mohammed Noaman    
Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person?s life. Therefore, early and accurate detection of brain tumors is essential, allowing for appropri... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Michiel van der Vlag, Lionel Kusch, Alain Destexhe, Viktor Jirsa, Sandra Diaz-Pier and Jennifer S. Goldman    
Global neural dynamics emerge from multi-scale brain structures, with nodes dynamically communicating to form transient ensembles that may represent neural information. Neural activity can be measured empirically at scales spanning proteins and subcellul... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiaoli Yang, Yuxin Xia, Zhenwei Li, Lipei Liu, Zhipeng Fan and Jiayi Zhou    
Alzheimer?s disease (AD) is one of the most common irreversible brain diseases in the elderly. Mild cognitive impairment (MCI) is an early symptom of AD, and the early intervention of MCI may slow down the progress of AD. However, due to the subtle neuro... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Martin Paralic, Kamil Zelenak, Patrik Kamencay and Robert Hudec    
The paper introduces an approach for detecting brain aneurysms, a critical medical condition, by utilizing a combination of 3D convolutional neural networks (3DCNNs) and Convolutional Long Short-Term Memory (ConvLSTM). Brain aneurysms pose a significant ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Felice Festa, Nicla Lopedote, Chiara Rotelli, Massimo Caulo and Monica Macrì    
Myofascial pain syndrome is the most common cause of TMD, characterised by trigger points of skeletal muscles in the masticatory region. Patients with myofascial pain suffer from orofacial pain and headaches. Parafunctional activity such as unconscious t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Md Ishtyaq Mahmud, Muntasir Mamun and Ahmed Abdelgawad    
Creating machines that behave and work in a way similar to humans is the objective of artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving, computer activities with artificial intelligence include other activiti... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Egor I. Chetkin, Sergei L. Shishkin and Bogdan L. Kozyrskiy    
Bayesian neural networks (BNNs) are effective tools for a variety of tasks that allow for the estimation of the uncertainty of the model. As BNNs use prior constraints on parameters, they are better regularized and less prone to overfitting, which is a s... ver más
Revista: Algorithms    Formato: Electrónico

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