A systematic review of vision transformers and convolutional neural networks for Alzheimer's disease classification using 3D MRI images
MA Bravo-Ortiz, SA Holguin-Garcia… - Neural Computing and …, 2024 - Springer
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that mainly affects
memory and other cognitive functions, such as thinking, reasoning, and the ability to carry …
memory and other cognitive functions, such as thinking, reasoning, and the ability to carry …
[HTML][HTML] Image Synthesis in Nuclear Medicine Imaging with Deep Learning: A Review
TD Le, NC Shitiri, SH Jung, SY Kwon, C Lee - Sensors, 2024 - mdpi.com
Nuclear medicine imaging (NMI) is essential for the diagnosis and sensing of various
diseases; however, challenges persist regarding image quality and accessibility during NMI …
diseases; however, challenges persist regarding image quality and accessibility during NMI …
Advancing cross-subject olfactory EEG recognition: A novel framework for collaborative multimodal learning between human-machine
X Xia, Y Guo, Y Wang, Y Yang, Y Shi, H Men - Expert Systems with …, 2024 - Elsevier
Odor sensory evaluation is broadly applied in food, clothing, cosmetics, and other fields.
Traditional artificial sensory evaluation has poor repeatability, and the machine olfaction …
Traditional artificial sensory evaluation has poor repeatability, and the machine olfaction …
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans
This study presents an innovative method for Alzheimer's disease diagnosis using 3D MRI
designed to enhance the explainability of model decisions. Our approach adopts a soft …
designed to enhance the explainability of model decisions. Our approach adopts a soft …
Exploring the relationship among Alzheimer's disease, aging and cognitive scores through neuroimaging-based approach
J Sun, JDJ Han, W Chen - Scientific Reports, 2024 - nature.com
Alzheimer's disease (AD) is a fatal neurodegenerative disorder, with the Mini-Mental State
Examination (MMSE) and Clinical Dementia Rating (CDR) serving significant roles in …
Examination (MMSE) and Clinical Dementia Rating (CDR) serving significant roles in …
A 3D multi-scale CycleGAN framework for generating synthetic PETs from MRIs for Alzheimer's disease diagnosis
M Khojaste-Sarakhsi, SS Haghighi… - Image and Vision …, 2024 - Elsevier
This paper proposes a novel framework for generating synthesized PET images from MRIs
to fill in missing PETs and help with Alzheimer's disease (AD) diagnosis. This framework …
to fill in missing PETs and help with Alzheimer's disease (AD) diagnosis. This framework …
HOPE: Hybrid-Granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment
Mild cognitive impairment (MCI) is often at high risk of progression to Alzheimer's disease
(AD). Existing works to identify the progressive MCI (pMCI) typically require MCI subtype …
(AD). Existing works to identify the progressive MCI (pMCI) typically require MCI subtype …
Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review (2012-2023)
Dementia is a condition that often comes with aging and affects how people think,
remember, and behave. Diagnosing dementia early is important because it can greatly …
remember, and behave. Diagnosing dementia early is important because it can greatly …
A Graph-Embedded Latent Space Learning and Clustering Framework for Incomplete Multimodal Multiclass Alzheimer's Disease Diagnosis
Alzheimer's disease (AD) is an irreversible neurodegenerative disease, where early
diagnosis is crucial for improving prognosis and delaying the progression of the disease …
diagnosis is crucial for improving prognosis and delaying the progression of the disease …
FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on
Despite their impressive generative performance, latent diffusion model-based virtual try-on
(VTON) methods lack faithfulness to crucial details of the clothes, such as style, pattern, and …
(VTON) methods lack faithfulness to crucial details of the clothes, such as style, pattern, and …