DeepAD: Alzheimer's disease classification via deep convolutional neural networks using MRI and fMRI
1 Abstract To extract patterns from neuroimaging data, various techniques, including
statistical methods and machine learning algorithms, have been explored to ultimately aid in …
statistical methods and machine learning algorithms, have been explored to ultimately aid in …
Age differences in the functional interactions among the default, frontoparietal control, and dorsal attention networks
C Grady, S Sarraf, C Saverino, K Campbell - Neurobiology of aging, 2016 - Elsevier
Older adults typically show weaker functional connectivity (FC) within brain networks compared
with young adults, but stronger functional connections between networks. Our primary …
with young adults, but stronger functional connections between networks. Our primary …
MCADNNet: Recognizing stages of cognitive impairment through efficient convolutional fMRI and MRI neural network topology models
Mild cognitive impairment (MCI) represents the intermediate stage between normal cerebral
aging and dementia associated with Alzheimer's disease (AD). Early diagnosis of MCI and …
aging and dementia associated with Alzheimer's disease (AD). Early diagnosis of MCI and …
Deep learning-based pipeline to recognize Alzheimer's disease using fMRI data
Over the past decade, machine learning techniques and in particular predictive modeling and
pattern recognition in biomedical sciences, from drug delivery systems to medical imaging, …
pattern recognition in biomedical sciences, from drug delivery systems to medical imaging, …
Classification of alzheimer's disease using fmri data and deep learning convolutional neural networks
Over the past decade, machine learning techniques especially predictive modeling and
pattern recognition in biomedical sciences from drug delivery system to medical imaging has …
pattern recognition in biomedical sciences from drug delivery system to medical imaging has …
The associative memory deficit in aging is related to reduced selectivity of brain activity during encoding
Human aging is characterized by reductions in the ability to remember associations between
items, despite intact memory for single items. Older adults also show less selectivity in task-…
items, despite intact memory for single items. Older adults also show less selectivity in task-…
[PDF][PDF] Analysis and detection of ddos attacks using machine learning techniques
S Sarraf - Am. Sci. Res. J. Eng. Technol. Sci, 2020 - researchgate.net
Over the past years, distributed denial-of-service (DDoS) attacks on Internet services and
websites have dramatically increased. Several research teams designed defensive …
websites have dramatically increased. Several research teams designed defensive …
Association of geriatric comanagement and 90-day postoperative mortality among patients aged 75 years and older with cancer
Importance Collaboration between geriatricians and surgeons in the perioperative treatment
of older patients has been associated with improved outcomes in several nononcologic …
of older patients has been associated with improved outcomes in several nononcologic …
[HTML][HTML] Optimal Topology of Vision Transformer for Real-Time Video Action Recognition in an End-To-End Cloud Solution
S Sarraf, M Kabia - Machine Learning and Knowledge Extraction, 2023 - mdpi.com
This study introduces an optimal topology of vision transformers for real-time video action
recognition in a cloud-based solution. Although model performance is a key criterion for real-…
recognition in a cloud-based solution. Although model performance is a key criterion for real-…
Classification of Alzheimer's disease structural MRI data by deep learning convolutional neural networks
Recently, machine learning techniques especially predictive modeling and pattern recognition
in biomedical sciences from drug delivery system to medical imaging has become one of …
in biomedical sciences from drug delivery system to medical imaging has become one of …