Positive effect of super-resolved structural magnetic resonance imaging for mild cognitive impairment detection
O Grigas, R Damaševičius, R Maskeliūnas - Brain sciences, 2024 - mdpi.com
This paper presents a novel approach to improving the detection of mild cognitive
impairment (MCI) through the use of super-resolved structural magnetic resonance imaging …
impairment (MCI) through the use of super-resolved structural magnetic resonance imaging …
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 …
UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement
Y Lei, J Yu, Y Dong, C Gong, Z Zhou… - arXiv preprint arXiv …, 2024 - arxiv.org
Underwater image enhancement (UIE) plays a crucial role in various marine applications,
but it remains challenging due to the complex underwater environment. Current learning …
but it remains challenging due to the complex underwater environment. Current learning …
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 …
Adaptive Query Prompting for Multi-Domain Landmark Detection
Medical landmark detection is crucial in various medical imaging modalities and
procedures. Although deep learning-based methods have achieve promising performance …
procedures. Although deep learning-based methods have achieve promising performance …
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 …
Prediction of Alzheimer's Disease Progression Using Longitudinal Brain MRI Data and GANs
KU Singh, A More, R Verma… - … for Innovations in …, 2023 - ieeexplore.ieee.org
This research introduces a new method for predicting the course of Alzheimer's disease by
combining longitudinal brain MRI data with Generative Adversarial Networks (GANs). Using …
combining longitudinal brain MRI data with Generative Adversarial Networks (GANs). Using …