Denoising Diffusion Wavelet Models for Zero-shot Medical Image Translation [0.03%]
用于零样本医学图像翻译的去噪扩散小波模型
Yunxiang Li,Xianghao Kong,Jiacheng Xie et al.
Yunxiang Li et al.
Diffusion models excel in generating high-quality images, yet their application in medical image translation, specifically for cone-beam computed tomography (CBCT) to CT translation, often fails to accurately preserve intricate anatomical d...
Log-based sparse nonnegative matrix factorization for data representation [0.03%]
基于日志的稀疏非负矩阵分解数据表示方法
Chong Peng,Yiqun Zhang,Yongyong Chen et al.
Chong Peng et al.
Nonnegative matrix factorization (NMF) has been widely studied in recent years due to its effectiveness in representing nonnegative data with parts-based representations. For NMF, a sparser solution implies better parts-based representation...
Chong Peng,Jing Zhang,Yongyong Chen et al.
Chong Peng et al.
Subspace clustering algorithms have been found successful in various applications that involve two-dimensional data, i.e., each example of the data is a matrix. However, most of the existing methods transform the matrix-type examples to vec...
Global and Local Similarity Learning in Multi-Kernel Space for Nonnegative Matrix Factorization [0.03%]
多核空间的全局与局部相似性学习非负矩阵因子分解
Chong Peng,Xingrong Hou,Yongyong Chen et al.
Chong Peng et al.
Most of existing nonnegative matrix factorization (NMF) methods do not fully exploit global and local similarity information from data. In this paper, we propose a novel local similarity learning approach in the convex NMF framework, which ...
HeteroKGRep: Heterogeneous Knowledge Graph based Drug Repositioning [0.03%]
基于异构知识图的药物再利用(HeteroKGRep)
Ribot Fleury T Ceskoutsé,Alain Bertrand Bomgni,David R Gnimpieba Zanfack et al.
Ribot Fleury T Ceskoutsé et al.
The process of developing new drugs is both time-consuming and costly, often taking over a decade and billions of dollars to obtain regulatory approval. Additionally, the complexity of patent protection for novel compounds presents challeng...
Soheila Molaei,Ghazaleh Niknam,Ghadeer O Ghosheh et al.
Soheila Molaei et al.
This research introduces the Variational Graph Attention Dynamics (VarGATDyn), addressing the complexities of dynamic graph representation learning, where existing models, tailored for static graphs, prove inadequate. VarGATDyn melds attent...
Medical Image Retrieval via Nearest Neighbor Search on Pre-trained Image Features [0.03%]
基于预训练图像特征的最近邻搜索的医学影像检索方法
Deepak Gupta,Russell Loane,Soumya Gayen et al.
Deepak Gupta et al.
Nearest neighbor search, also known as NNS, is a technique used to locate the points in a high-dimensional space closest to a given query point. This technique has multiple applications in medicine, such as searching large medical imaging d...
Towards COVID-19 fake news detection using transformer-based models [0.03%]
基于Transformer模型的COVID-19虚假新闻检测方法研究
Jawaher Alghamdi,Yuqing Lin,Suhuai Luo
Jawaher Alghamdi
The COVID-19 pandemic has resulted in a surge of fake news, creating public health risks. However, developing an effective way to detect such news is challenging, especially when published news involves mixing true and false information. De...
Haleh Akrami,Anand A Joshi,Jian Li et al.
Haleh Akrami et al.
The presence of outliers can severely degrade learned representations and performance of deep learning methods and hence disproportionately affect the training process, leading to incorrect conclusions about the data. For example, anomaly d...
Cross-platform privacy-preserving CT image COVID-19 diagnosis based on source-free domain adaptation [0.03%]
基于无源领域适应的跨平台隐私保护的CT图像新冠肺炎诊断方法
Yuanyi Feng,Yuemei Luo,Jianfei Yang
Yuanyi Feng
In the wake of the Coronavirus disease (COVID-19) pandemic, chest computed tomography (CT) has become an invaluable component in the rapid and accurate detection of COVID-19. CT scans traditionally require manual inspections from medical pr...