Zobrazeno 1 - 10
of 4 106
pro vyhledávání: '"Aarabi A"'
Self-supervised landmark estimation is a challenging task that demands the formation of locally distinct feature representations to identify sparse facial landmarks in the absence of annotated data. To tackle this task, existing state-of-the-art (SOT
Externí odkaz:
http://arxiv.org/abs/2405.18322
Generative Adversarial Networks (GANs) can synthesize realistic images, with the learned latent space shown to encode rich semantic information with various interpretable directions. However, due to the unstructured nature of the learned latent space
Externí odkaz:
http://arxiv.org/abs/2310.06667
Autor:
MohammadHadi Firouzi, Kamran Kazemi, Maliheh Ahmadi, Mohammad Sadegh Helfroush, Ardalan Aarabi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is characterized by deficits in attention, hyperactivity, and/or impulsivity. Resting-state functional connectivity analysis has emerged as a promising approach for ADHD classification using re
Externí odkaz:
https://doaj.org/article/93f09d7d96794d29a18f0eb0e1f030ae
Vision Transformers (ViT) have shown their competitive advantages performance-wise compared to convolutional neural networks (CNNs) though they often come with high computational costs. To this end, previous methods explore different attention patter
Externí odkaz:
http://arxiv.org/abs/2303.13755
Autor:
Alireza Khanjanifard, Pejman Khosravi, Parastoo Karimi Aliabadi, Maryam Zarrinkamar, Mojgan Geran, Mohammad Khorshidi, Adel Hadidi, Ghasem Oveis, Mohsen Aarabi
Publikováno v:
Journal of Mazandaran University of Medical Sciences, Vol 34, Iss 236, Pp 131-136 (2024)
Background and purpose: The process by which family physicians refer patients to specialized levels of the healthcare system is presented. In other words, the referral system can assure us that the clients of health care services are optimally alloca
Externí odkaz:
https://doaj.org/article/438b215763254846b66cf275a2ccc519
Autor:
Masoud Dehbozorgi, Mohammad Reza Maghsoudi, Ida Mohammadi, Shahryar Rajai Firouzabadi, Mahdi Mohammaditabar, Soroush Oraee, Aryan Aarabi, Mana Goodarzi, Arman Shafiee, Mahmood Bakhtiyari
Publikováno v:
BMC Neurology, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background Traumatic brain injury (TBI) is defined as acquired cerebral damage caused by an external mechanical impact, which has the potential to lead to transient or enduring debilitation. TBI is associated with many forms of long-lasting
Externí odkaz:
https://doaj.org/article/c705c90c2bc3472eb59093abe8ae1be7
Subject-specific atlas for automatic brain tissue segmentation of neonatal magnetic resonance images
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Developing advanced systems for 3D brain tissue segmentation from neonatal magnetic resonance (MR) images is vital for newborn structural analysis. However, automatic segmentation of neonatal brain tissues is challenging due to smaller head
Externí odkaz:
https://doaj.org/article/27e9985560c541d6acb4fe1ddca42ff3
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background The World Health Organization defines mental health as a combination of two dimensions: the negative dimension, or negative mental health, which indicates the presence of mental disorders, symptoms, and problems, and the positive
Externí odkaz:
https://doaj.org/article/b145e47435144c34bbd23ee8d78673e4
Publikováno v:
Journal of Functional Foods, Vol 122, Iss , Pp 106507- (2024)
Background and objective: Since it has been demonstrated that inflammation and oxidative stress (OS) are important in the etiology and complexity of type 2 diabetes mellitus (T2DM), antioxidant treatment is recognized as an effective approach for man
Externí odkaz:
https://doaj.org/article/cbbef1409940418f90f6a31451d162b6
Generative Adversarial Networks (GANs) have been widely applied in modeling diverse image distributions. However, despite its impressive applications, the structure of the latent space in GANs largely remains as a black-box, leaving its controllable
Externí odkaz:
http://arxiv.org/abs/2209.00698