Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Seyed‐Mahdi Khaligh‐Razavi"'
Autor:
Judith Shore, Chris Kalafatis, Angela Stainthorpe, Mohammad Hadi Modarres, Seyed-Mahdi Khaligh-Razavi
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
ObjectivesThe aim of this study was to develop a comprehensive economic evaluation of the integrated cognitive assessment (ICA) tool compared with standard cognitive tests when used for dementia screening in primary care and for initial patient triag
Externí odkaz:
https://doaj.org/article/b76881e98300418490ffa5ffb6cd6dc3
Autor:
Mohammad Hadi Modarres, Chris Kalafatis, Panos Apostolou, Naji Tabet, Seyed-Mahdi Khaligh-Razavi
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
BackgroundCurrent primary care cognitive assessment tools are either crude or time-consuming instruments that can only detect cognitive impairment when it is well established. This leads to unnecessary or late referrals to memory services, by which t
Externí odkaz:
https://doaj.org/article/18ccca780b704ca99775786e05934217
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Today, most neurocognitive studies in humans employ the non-invasive neuroimaging techniques functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG). However, how the data provided by fMRI and EEG relate exactly to the underlying
Externí odkaz:
https://doaj.org/article/f52be6e7befc4ddb996e5868bd109fb3
Autor:
Seyed-Mahdi Khaligh-Razavi, Maryam Sadeghi, Mahdiyeh Khanbagi, Chris Kalafatis, Seyed Massood Nabavi
Publikováno v:
BMC Neurology, Vol 20, Iss 1, Pp 1-13 (2020)
Abstract Background Cognitive impairment is common in patients with multiple sclerosis (MS). Accurate and repeatable measures of cognition have the potential to be used as markers of disease activity. Methods We developed a 5-min computerized test to
Externí odkaz:
https://doaj.org/article/b87600cdecf248ddbf0a3b7f4056b7ab
Autor:
Chris Kalafatis, Mohammad Hadi Modarres, Panos Apostolou, Naji Tabet, Seyed-Mahdi Khaligh-Razavi
Publikováno v:
JMIR Research Protocols, Vol 11, Iss 1, p e34475 (2022)
BackgroundExisting primary care cognitive assessment tools are crude or time-consuming screening instruments which can only detect cognitive impairment when it is well established. Due to the COVID-19 pandemic, memory services have adapted to the new
Externí odkaz:
https://doaj.org/article/6509ca77bb084448ae8ce3dca82a0c48
Autor:
Hamed Karimi, Haniyeh Marefat, Mahdiyeh Khanbagi, Chris Kalafatis, Mohammad Hadi Modarres, Zahra Vahabi, Seyed-Mahdi Khaligh-Razavi
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
Electroencephalography (EEG) has been commonly used to measure brain alterations in Alzheimer’s Disease (AD). However, reported changes are limited to those obtained from using univariate measures, including activation level and frequency bands. To
Externí odkaz:
https://doaj.org/article/f3f29872084f46b8aa2a9cdf6a132393
Autor:
Chris Kalafatis, Mohammad Hadi Modarres, Panos Apostolou, Haniye Marefat, Mahdiyeh Khanbagi, Hamed Karimi, Zahra Vahabi, Dag Aarsland, Seyed-Mahdi Khaligh-Razavi
Publikováno v:
Frontiers in Psychiatry, Vol 12 (2021)
Introduction: Early detection and monitoring of mild cognitive impairment (MCI) and Alzheimer's Disease (AD) patients are key to tackling dementia and providing benefits to patients, caregivers, healthcare providers and society. We developed the Inte
Externí odkaz:
https://doaj.org/article/7abfb719ce0a413081b2c60aa4cb6c0f
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 5, p e1007001 (2019)
Core object recognition, the ability to rapidly recognize objects despite variations in their appearance, is largely solved through the feedforward processing of visual information. Deep neural networks are shown to achieve human-level performance in
Externí odkaz:
https://doaj.org/article/9085cbd7684a4ea9999a29e4ca21686a
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 11, p e1003915 (2014)
Inferior temporal (IT) cortex in human and nonhuman primates serves visual object recognition. Computational object-vision models, although continually improving, do not yet reach human performance. It is unclear to what extent the internal represent
Externí odkaz:
https://doaj.org/article/55a1278ee6e742e3b2d53f0bf4c39051
Publikováno v:
PLoS ONE, Vol 7, Iss 2, p e32357 (2012)
Humans can effectively and swiftly recognize objects in complex natural scenes. This outstanding ability has motivated many computational object recognition models. Most of these models try to emulate the behavior of this remarkable system. The human
Externí odkaz:
https://doaj.org/article/1fb51577851e4e99a3895dc551a2fdf2