Rem RunGu Lin,Kang Zhang
Rem RunGu Lin
This survey examines the evolution and impact of real-time brainmedia on artistic exploration, contextualizing developments within a historical framework. To enhance knowledge on the entanglement between the brain, mind, and body in an incr...
Achieving view-distance and -angle invariance in motion prediction using a simple network [0.03%]
利用简单的网络实现运动预测中的视角变化不变性
Haichuan Zhao,Xudong Ru,Peng Du et al.
Haichuan Zhao et al.
Recently, human motion prediction has gained significant attention and achieved notable success. However, current methods primarily rely on training and testing with ideal datasets, overlooking the impact of variations in the viewing distan...
Real-time volume rendering for three-dimensional fetal ultrasound using volumetric photon mapping [0.03%]
基于体素光线映射的实时三维胎儿超声容积渲染技术
Jing Zou,Jing Qin
Jing Zou
Three-dimensional (3D) fetal ultrasound has been widely used in prenatal examinations. Realistic and real-time volumetric ultrasound volume rendering can enhance the effectiveness of diagnoses and assist obstetricians and pregnant mothers i...
Natalie Hube,Melissa Reinelt,Kresimir Vidackovic et al.
Natalie Hube et al.
Avatars play a key role in how persons interact within virtual environments, acting as the digital selves. There are many types of avatars, each serving the purpose of representing users or others in these immersive spaces. However, the opt...
Noise suppression in photon-counting computed tomography using unsupervised Poisson flow generative models [0.03%]
基于无监督泊松流生成模型的光子计数CT噪声抑制方法
Dennis Hein,Staffan Holmin,Timothy Szczykutowicz et al.
Dennis Hein et al.
Deep learning (DL) has proven to be important for computed tomography (CT) image denoising. However, such models are usually trained under supervision, requiring paired data that may be difficult to obtain in practice. Diffusion models offe...
Xiaochen Gu,Ping Huang,Xiaohua Xu et al.
Xiaochen Gu et al.
Fetal macrosomia is associated with maternal and newborn complications due to incorrect fetal weight estimation or inappropriate choice of delivery models. The early screening and evaluation of macrosomia in the third trimester can improve ...
Medical image registration and its application in retinal images: a review [0.03%]
医学图象配准及其在视网膜图像中的应用：综述论文
Qiushi Nie,Xiaoqing Zhang,Yan Hu et al.
Qiushi Nie et al.
Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse information of images, which may be captured under different times, angles, or modalities. Although several surveys have reviewed the ...
IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models [0.03%]
基于视觉语言和ChatGPT模型的CT图像质量评估(IQAGPT)
Zhihao Chen,Bin Hu,Chuang Niu et al.
Zhihao Chen et al.
Large language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted increasing interest as a natural language interface across many domains. Recently, large vision-language models (VLMs) t...
Correction: Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification [0.03%]
纠正：用于肺炎分类的全维度动态卷积特征坐标注意力网络
Yufei Li,Yufei Xin,Xinni Li et al.
Yufei Li et al.
Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms [0.03%]
革命性贫血检测：集成机器学习模型和先进注意力机制
Muhammad Ramzan,Jinfang Sheng,Muhammad Usman Saeed et al.
Muhammad Ramzan et al.
This study addresses the critical issue of anemia detection using machine learning (ML) techniques. Although a widespread blood disorder with significant health implications, anemia often remains undetected. This necessitates timely and eff...