[HTML][HTML] Transformers in medical image analysis
Transformers have dominated the field of natural language processing and have recently
made an impact in the area of computer vision. In the field of medical image analysis …
made an impact in the area of computer vision. In the field of medical image analysis …
[HTML][HTML] Networks behind the morphology and structural design of living systems
Technological advances in imaging techniques and biometric data acquisition have enabled
us to apply methods of network science to study the morphology and structural design of …
us to apply methods of network science to study the morphology and structural design of …
Applications of deep learning to MRI images: A survey
Deep learning provides exciting solutions in many fields, such as image analysis, natural
language processing, and expert system, and is seen as a key method for various future …
language processing, and expert system, and is seen as a key method for various future …
Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier
Autism spectrum disorder (ASD) is a common neurodevelopmental disorder that seriously
affects communication and sociality of patients. It is crucial to accurately identify patients with …
affects communication and sociality of patients. It is crucial to accurately identify patients with …
Network learning for biomarker discovery
Everything is connected and thus networks are instrumental in not only modeling complex
systems with many components, but also accommodating knowledge about their …
systems with many components, but also accommodating knowledge about their …
[Retracted] Diagnosis of Alzheimer Disease Using 2D MRI Slices by Convolutional Neural Network
FEK Al-Khuzaie, O Bayat… - Applied Bionics and …, 2021 - Wiley Online Library
There are many kinds of brain abnormalities that cause changes in different parts of the
brain. Alzheimer's disease is a chronic condition that degenerates the cells of the brain …
brain. Alzheimer's disease is a chronic condition that degenerates the cells of the brain …
A graph theory-based modeling of functional brain connectivity based on EEG: a systematic review in the context of neuroergonomics
LE Ismail, W Karwowski - Ieee Access, 2020 - ieeexplore.ieee.org
Graph theory analysis, a mathematical approach, has been applied in brain connectivity
studies to explore the organization of network patterns. The computation of graph theory …
studies to explore the organization of network patterns. The computation of graph theory …
Diagnosis of Alzheimer's disease severity with fMRI images using robust multitask feature extraction method and convolutional neural network (CNN)
The automatic diagnosis of Alzheimer's disease plays an important role in human health,
especially in its early stage. Because it is a neurodegenerative condition, Alzheimer's …
especially in its early stage. Because it is a neurodegenerative condition, Alzheimer's …
Dysregulated resting state functional connectivity and obesity: a systematic review
Obesity has been variously linked to differences in brain functional connectivity in regions
associated with reward, emotional regulation and cognition, potentially revealing neural …
associated with reward, emotional regulation and cognition, potentially revealing neural …
Classification of autism spectrum disorder from EEG-based functional brain connectivity analysis
N Alotaibi, K Maharatna - Neural computation, 2021 - direct.mit.edu
Autism is a psychiatric condition that is typically diagnosed with behavioral assessment
methods. Recent years have seen a rise in the number of children with autism. Since this …
methods. Recent years have seen a rise in the number of children with autism. Since this …