Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Solale Tabarestani"'
Autor:
Solale Tabarestani, Mohammad Eslami, Mercedes Cabrerizo, Rosie E. Curiel, Armando Barreto, Naphtali Rishe, David Vaillancourt, Steven T. DeKosky, David A. Loewenstein, Ranjan Duara, Malek Adjouadi
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
With the advances in machine learning for the diagnosis of Alzheimer’s disease (AD), most studies have focused on either identifying the subject’s status through classification algorithms or on predicting their cognitive scores through regression
Externí odkaz:
https://doaj.org/article/536f73f3fc3e4a628ee05ef0cfe71225
Autor:
Solale Tabarestani, Maryamossadat Aghili, Mohammad Eslami, Mercedes Cabrerizo, Armando Barreto, Naphtali Rishe, Rosie E. Curiel, David Loewenstein, Ranjan Duara, Malek Adjouadi
Publikováno v:
NeuroImage, Vol 206, Iss , Pp 116317- (2020)
Predicting the progression of Alzheimer’s Disease (AD) has been held back for decades due to the lack of sufficient longitudinal data required for the development of novel machine learning algorithms. This study proposes a novel machine learning al
Externí odkaz:
https://doaj.org/article/f13e176f63a542e185a6eedf89aadf77
Autor:
Mehdi Shojaie, David A. Loewenstein, David E. Vaillancourt, Ranjan Duara, Malek Adjouadi, Steven T. DeKosky, Solale Tabarestani, Mercedes Cabrerizo
Publikováno v:
Journal of Alzheimer's Disease. 84:1497-1514
Background: Machine learning is a promising tool for biomarker-based diagnosis of Alzheimer’s disease (AD). Performing multimodal feature selection and studying the interaction between biological and clinical AD can help to improve the performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17bc37c78c4c36d7297930aefefa9374
https://doi.org/10.3233/jad-210064
https://doi.org/10.3233/jad-210064
Publikováno v:
Artificial Intelligence in Medicine. 140:102543
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3979669ef379be7694a3b027b17b988d
https://doi.org/10.1016/j.artmed.2023.102543
https://doi.org/10.1016/j.artmed.2023.102543
Autor:
Solale Tabarestani, Mohammad Eslami, Mercedes Cabrerizo, Rosie E. Curiel, Armando Barreto, Naphtali Rishe, David Vaillancourt, Steven T. DeKosky, David A. Loewenstein, Ranjan Duara, Malek Adjouadi
Publikováno v:
Frontiers in aging neuroscience. 14
With the advances in machine learning for the diagnosis of Alzheimer’s disease (AD), most studies have focused on either identifying the subject’s status through classification algorithms or on predicting their cognitive scores through regression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69a9b778ef571c0ad7ed8fb6d13d3c90
https://pubmed.ncbi.nlm.nih.gov/35601611
https://pubmed.ncbi.nlm.nih.gov/35601611
Publikováno v:
Journal of Neuroscience Methods. 375:109582
One of the challenges facing accurate diagnosis and prognosis of Alzheimer's disease, beyond identifying the subtle changes that define its early onset, is the scarcity of sufficient data compounded by the missing data challenge. Although there are m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d559bb82d7ac1c89c22813e27f90f25
https://doi.org/10.1016/j.jneumeth.2022.109582
https://doi.org/10.1016/j.jneumeth.2022.109582
Publikováno v:
ISBI Workshops
In this research, both image denoising and kidney segmentation tasks are addressed jointly via one multitask deep convolutional network. This multitasking scheme yields better results for both tasks compared to separate single-task methods. Also, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb77de787d97180819b721b9aa30949b
https://doi.org/10.1109/isbiworkshops50223.2020.9153392
https://doi.org/10.1109/isbiworkshops50223.2020.9153392
Publikováno v:
IET Image Processing. 12:2346-2351
This study introduces an image denoising method in the presence of combined speckle and Gaussian noise. The dual-tree complex wavelet transform is applied to the image in order to obtain specific coefficients characterising these types of noise. Then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57f45f9b1960c34083cba86a41166955
https://doi.org/10.1049/iet-ipr.2018.5292
https://doi.org/10.1049/iet-ipr.2018.5292
Autor:
Mohammad Eslami, Mahdi Karami, Solale Tabarestani, Farah Torkamani-Azar, Sedigheh Eslami, Christoph Meinel
Sign(ed) languages use gestures, such as hand or head movements, for communication. Sign language recognition is an assistive technology for individuals with hearing disability and its goal is to improve such individuals' life quality by facilitating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea7537dfd5a5b7d6ac286ae6a83142ad
http://arxiv.org/abs/1911.00071
http://arxiv.org/abs/1911.00071
Autor:
Ranjan Duara, Armando Barreto, Mehdi Shojaie, Christian Freytes, Rosie E. Curiel, Mercedes Cabrerizo, Solale Tabarestani, Naphtali Rishe, Malek Adjouadi, Maryamossadat Aghili, David A. Loewenstein
Publikováno v:
BHI
This paper proposes an implementation of Recurrent Neural Networks (RNNs) for (a) predicting future Mini-Mental State Examination (MMSE) scores in a longitudinal study and (b) deploying a multiclass multimodal neuroimaging classification process that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c2cf68d313d3b5a99a4fc6c179dd612
https://doi.org/10.1109/bhi.2019.8834556
https://doi.org/10.1109/bhi.2019.8834556