Synthesizing eeg signals from event-related potential paradigms with conditional diffusion models
G Klein, P Guetschel, G Silvestri… - arXiv preprint arXiv …, 2024 - arxiv.org
Data scarcity in the brain-computer interface field can be alleviated through the use of
generative models, specifically diffusion models. While diffusion models have previously …
generative models, specifically diffusion models. While diffusion models have previously …
Weakly supervised semantic segmentation via saliency perception with uncertainty-guided noise suppression
Abstract Weakly Supervised Semantic Segmentation (WSSS) has become increasingly
popular for achieving remarkable segmentation with only image-level labels. Current WSSS …
popular for achieving remarkable segmentation with only image-level labels. Current WSSS …
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation
Y Chen, G Huang, K Huang, Z Lin, G Zhong… - arXiv preprint arXiv …, 2024 - arxiv.org
Accurate segmentation of lesion regions is crucial for clinical diagnosis and treatment across
various diseases. While deep convolutional networks have achieved satisfactory results in …
various diseases. While deep convolutional networks have achieved satisfactory results in …
XAI-Empowered MRI Analysis for Consumer Electronic Health
A Amin, K Hasan, MS Hossain - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The intelligent use of artificial intelligence-generated content (AIGC) in magnetic resonance
imaging (MRI) analysis is a significant step towards the rapidly advancing field of consumer …
imaging (MRI) analysis is a significant step towards the rapidly advancing field of consumer …
GET: A Generative EEG Transformer for Continuous Context-Based Neural Signals
O Ali, M Saif-ur-Rehman, M Metzler… - arXiv preprint arXiv …, 2024 - arxiv.org
Generating continuous electroencephalography (EEG) signals through advanced artificial
neural networks presents a novel opportunity to enhance brain-computer interface (BCI) …
neural networks presents a novel opportunity to enhance brain-computer interface (BCI) …
Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model
Y Chen, P Chen, X Zhou, Y Lei, Z Zhou, M Li - arXiv preprint arXiv …, 2024 - arxiv.org
In the field of computer vision, visible light images often exhibit low contrast in low-light
conditions, presenting a significant challenge. While infrared imagery provides a potential …
conditions, presenting a significant challenge. While infrared imagery provides a potential …
Structural Brain Network Generation via Brain Denoising Diffusion Probabilistic Model
Alzheimer's disease (AD) significantly impairs the quality of life for a vast patient population
and poses treatment challenges, partly due to its elusive pathophysiological mechanisms …
and poses treatment challenges, partly due to its elusive pathophysiological mechanisms …