Review of electroencephalography and electromyography research in robotics: opportunities and challenges [0.03%]
Zefeng Wang,Meiyan Xu,Junfeng Yao et al.
Zefeng Wang et al.
In the evolving nexus of neuroscience and robotics, the symbiotic fusion of electroencephalography (EEG) and electromyography (EMG) is emerging as a paradigm-shifting avenue for enhancing human-machine interfaces. While EEG, which captures ...
UMIAD-EGMF: unsupervised medical image anomaly detection based on edge guidance and multi-scale flow fusion [0.03%]
基于边缘引导和多尺度流融合的无监督医学图像异常检测（UMIAD-EGMF）
Zhirong Li,Guangfeng Lin,Dou Zhang et al.
Zhirong Li et al.
Medical imaging technology has advanced rapidly in recent years; however, abnormalities in medical images are often rare and complex, making sample labels difficult to obtain for supervised learning of detection models. Existing unsupervise...
MetaChest: generalized few-shot learning of pathologies from chest X-rays [0.03%]
MetaChest：来自胸部X光片的病理学通用少样本学习
Berenice Montalvo-Lezama,Gibran Fuentes-Pineda
Berenice Montalvo-Lezama
The limited availability of annotated data presents a major challenge in applying deep learning methods to medical image analysis. Few-shot learning methods aim to recognize new classes from only a few labeled examples. These methods are ty...
Advances in photoacoustic imaging reconstruction and quantitative analysis for biomedical applications [0.03%]
生物医学应用的声光成像重建和定量分析进展
Lei Wang,Weiming Zeng,Kai Long et al.
Lei Wang et al.
Photoacoustic imaging (PAI), a modality that combines the high contrast of optical imaging with the deep penetration of ultrasound, is rapidly transitioning from preclinical research to clinical practice. However, its widespread clinical ad...
Development of an optically emulated computed tomography scanner for college education [0.03%]
用于高等教育的光学模拟计算机断层扫描仪的研究开发
Md Motaleb Hossen Manik,William Muldowney,Md Zabirul Islam et al.
Md Motaleb Hossen Manik et al.
Computed tomography (CT) is a powerful imaging modality widely used in medicine, research, and industry for noninvasive visualization of internal structures. However, conventional CT systems rely on X-rays, which involve radiation exposure,...
Artificial intelligence-aided assignment of journal submissions to associate editors-a feasibility study on IEEE transactions on medical imaging [0.03%]
基于人工智能的期刊投稿分配助理编辑的可行性研究--以IEEE医学图像汇刊为例研究
Xuanang Xu,Joshua Yan,Gloria Nwachukwu et al.
Xuanang Xu et al.
Efficient and accurate assignment of journal submissions to suitable associate editors (AEs) is critical in maintaining review quality and timeliness, particularly in high-volume, rapidly evolving fields such as medical imaging. This study ...
Text-to-3D scene generation framework: bridging textual descriptions to high-fidelity 3D scenes [0.03%]
基于文本的3D场景生成框架：在文本描述和高保真3D场景之间建立桥梁
Zuan Gu,Tianhan Gao,Huimin Liu
Zuan Gu
Text-to-3D scene generation is pivotal for digital content creation; however, existing methods often struggle with global consistency across views. We present 3DS-Gen, a modular "generate-then-reconstruct" framework that first produces a te...
Enhanced temporal encoding-decoding for survival analysis of multimodal clinical data in smart healthcare [0.03%]
智能医疗中多模态临床数据的生存分析的增强时间编码解码方法
Xiaofeng Zhang,Zijie Pan,Yuhang Tian et al.
Xiaofeng Zhang et al.
Effective survival analysis is essential for identifying optimal preventive treatments within smart healthcare systems and leveraging digital health advancements; however, existing prediction models face limitations, primarily relying on en...
Comprehensive review of machine learning and deep learning techniques for epileptic seizure detection and prediction based on neuroimaging modalities [0.03%]
基于神经影像模态的癫痫发作检测和预测的机器学习和深度学习技术综合回顾
Khadija Slama,Ali Yahyaouy,Jamal Riffi et al.
Khadija Slama et al.
Epilepsy is a chronic neurological disorder characterized by recurrent seizures that can lead to death. Seizure treatment usually involves antiepileptic drugs and sometimes surgery, but patients with drug-resistant epilepsy often remain eff...
Rem RunGu Lin,Koo Yongen Ke,Kang Zhang
Rem RunGu Lin
This study presents Body Cosmos 2.0, an embodied biofeedback system with an interactive interface situated at the intersection of dance, human-computer interaction, and bio-art. Building on the authors' prior work, "Body Cosmos: An Immersiv...