[HTML][HTML] Deep learning based synthesis of MRI, CT and PET: Review and analysis
Medical image synthesis represents a critical area of research in clinical decision-making,
aiming to overcome the challenges associated with acquiring multiple image modalities for …
aiming to overcome the challenges associated with acquiring multiple image modalities for …
Generative AI for brain image computing and brain network computing: a review
Recent years have witnessed a significant advancement in brain imaging techniques that
offer a non-invasive approach to map** the structure and function of the brain …
offer a non-invasive approach to map** the structure and function of the brain …
Fine perceptive gans for brain mr image super-resolution in wavelet domain
Magnetic resonance (MR) imaging plays an important role in clinical and brain exploration.
However, limited by factors such as imaging hardware, scanning time, and cost, it is …
However, limited by factors such as imaging hardware, scanning time, and cost, it is …
Morphological feature visualization of Alzheimer's disease via multidirectional perception GAN
The diagnosis of early stages of Alzheimer's disease (AD) is essential for timely treatment to
slow further deterioration. Visualizing the morphological features for early stages of AD is of …
slow further deterioration. Visualizing the morphological features for early stages of AD is of …
Conversion between CT and MRI images using diffusion and score-matching models
BPGAN: Brain PET synthesis from MRI using generative adversarial network for multi-modal Alzheimer's disease diagnosis
Abstract Background and Objective Multi-modal medical images, such as magnetic
resonance imaging (MRI) and positron emission tomography (PET), have been widely used …
resonance imaging (MRI) and positron emission tomography (PET), have been widely used …
Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Alzheimer's Disease (AD) is the most prevalent and rapidly progressing neurodegenerative
disorder among the elderly and is a leading cause of dementia. AD results in significant …
disorder among the elderly and is a leading cause of dementia. AD results in significant …
Fractal boundary layer and its basic properties
SJ Kou, CH He, XC Men, JH He - Fractals, 2022 - World Scientific
In this paper, the fractal calculus is introduced to study a non-smooth boundary layer of a
viscous fluid, and a fractal-fractional modification of the Blasius equation is suggested and …
viscous fluid, and a fractal-fractional modification of the Blasius equation is suggested and …
[HTML][HTML] Applications of generative adversarial networks in neuroimaging and clinical neuroscience
Generative adversarial networks (GANs) are one powerful type of deep learning models that
have been successfully utilized in numerous fields. They belong to the broader family of …
have been successfully utilized in numerous fields. They belong to the broader family of …