Multiscale feature fusion for few-shot medical image learning with fisher information-driven layer selection [0.03%]
Kai Zhang,Yanjun Peng,Bo Pang et al.
Kai Zhang et al.
Few-shot medical image classification is a highly challenging problem in computer-aided diagnosis, with the central difficulty being enabling deep models to learn discriminative features conducive to classification from limited labeled samp...
MEDI-SLATE: medical imaging slide-lecture aligned teaching ensemble [0.03%]
基于医学影像的课件对齐教学集锦（ Medi-Slate）
Motaleb Hossen Manik,Zabirul Islam,Ge Wang
Motaleb Hossen Manik
Slide-based lectures remain the primary means by which undergraduate students learn about the mathematical, physical, and systems-level foundations of medical imaging. However, despite their central educational role, no openly available dat...
Construction of complex non-uniform rational B-spline volume parametric models with G1 continuity [0.03%]
带G1连续性的复杂非均匀有理B样条体积参数模型的构建
Dan Wang,Long Chen,Jiahong Zhang
Dan Wang
The construction of complex volumetric parametric models has long been a bottleneck in achieving integrated design and simulation modeling. To enhance model quality and simplify the modeling process, this paper proposes an innovative method...
Review of electroencephalography and electromyography research in robotics: opportunities and challenges [0.03%]
脑电和肌电在机器人中的研究综述：机遇与挑战
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...