Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Gorriz, Juan Manuel"'
Autor:
Martinez-Murcia, Francisco Jesus, Ortiz, Andrés, Górriz, Juan Manuel, Ramírez, Javier, Lopez-Perez, Pedro Javier, López-Zamora, Miguel, Luque, Juan Luis
Publikováno v:
INT J NEURAL SYST 30 (7), 2020, 2050037
The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more temporal rates. The LEEDUCA study conducted a series of Electroencephalography
Externí odkaz:
http://arxiv.org/abs/2311.13876
Autor:
Shoeibi, Afshin, Moridian, Parisa, Khodatars, Marjane, Ghassemi, Navid, Jafari, Mahboobeh, Alizadehsani, Roohallah, Kong, Yinan, Gorriz, Juan Manuel, Ramírez, Javier, Khosravi, Abbas, Nahavandi, Saeid, Acharya, U. Rajendra
Publikováno v:
Computers in Biology and Medicine, 2022, 106053
Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand movements. Epileptic seizure detection methods involve neurological exams, blood
Externí odkaz:
http://arxiv.org/abs/2105.14278
Autor:
Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Moridian, Parisa, Rezaei, Mitra, Alizadehsani, Roohallah, Khozeimeh, Fahime, Gorriz, Juan Manuel, Heras, Jónathan, Panahiazar, Maryam, Nahavandi, Saeid, Acharya, U. Rajendra
Publikováno v:
Computers in Biology and Medicine,Volume 136,2021,104697
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. In order to diagnose MS, multiple screening methods have been proposed
Externí odkaz:
http://arxiv.org/abs/2105.04881
Autor:
Jiménez-Mesa, Carmen, Ramírez, Javier, Suckling, John, Vöglein, Jonathan, Levin, Johannes, Górriz, Juan Manuel, ADNI, Alzheimer's Disease Neuroimaging Initiative, DIAN, Dominantly Inherited Alzheimer Network
Discriminative analysis in neuroimaging by means of deep/machine learning techniques is usually tested with validation techniques, whereas the associated statistical significance remains largely under-developed due to their computational complexity.
Externí odkaz:
http://arxiv.org/abs/2103.16685
A connection between the General Linear Model (GLM) in combination with classical statistical inference and the machine learning (MLE)-based inference is described in this paper. Firstly, the estimation of the GLM parameters is expressed as a Linear
Externí odkaz:
http://arxiv.org/abs/2012.08903
Deep learning models for MRI classification face two recurring problems: they are typically limited by low sample size, and are abstracted by their own complexity (the "black box problem"). In this paper, we train a convolutional neural network (CNN)
Externí odkaz:
http://arxiv.org/abs/2002.07874
Autor:
Jimenez-Mesa, Carmen, Arco, Juan E., Martinez-Murcia, Francisco Jesus, Suckling, John, Ramirez, Javier, Gorriz, Juan Manuel
Publikováno v:
In Pharmacological Research November 2023 197
Autor:
Zhang, Yudong, Deng, Lijia, Zhu, Hengde, Wang, Wei, Ren, Zeyu, Zhou, Qinghua, Lu, Siyuan, Sun, Shiting, Zhu, Ziquan, Gorriz, Juan Manuel, Wang, Shuihua
Publikováno v:
In Information Fusion October 2023 98
Autor:
Shoeibi, Afshin, Khodatars, Marjane, Jafari, Mahboobeh, Ghassemi, Navid, Moridian, Parisa, Alizadehsani, Roohallah, Ling, Sai Ho, Khosravi, Abbas, Alinejad-Rokny, Hamid, Lam, H.K., Fuller-Tyszkiewicz, Matthew, Acharya, U. Rajendra, Anderson, Donovan, Zhang, Yudong, Gorriz, Juan Manuel
Publikováno v:
In Information Fusion May 2023 93:85-117
Autor:
Jimenez-Mesa, Carmen, Ramirez, Javier, Suckling, John, Vöglein, Jonathan, Levin, Johannes, Gorriz, Juan Manuel
Publikováno v:
In Information Fusion March 2023 91:598-611