Bi-Fi: an embedded sensor/system architecture for REMOTE biological monitoring [0.03%]
基于远程生物监测的嵌入式传感器/系统架构
Shahin Farshchi,Aleksey Pesterev,Paul H Nuyujukian et al.
Shahin Farshchi et al.
Wireless-enabled processor modules intended for communicating low-frequency phenomena (i.e., temperature, humidity, and ambient light) have been enabled to acquire and transmit multiple biological signals in real time, which has been achiev...
Detecting reduced bone mineral density from dental radiographs using statistical shape models [0.03%]
基于统计形状模型从牙科放射影像中检测减少的骨矿密度
P Danny Allen,Jim Graham,Damian J J Farnell et al.
P Danny Allen et al.
We describe a novel method of estimating reduced bone mineral density (BMD) from dental panoramic tomograms (DPTs), which show the entire mandible. Careful expert width measurement of the inferior mandibular cortex has been shown to be pred...
Collaborative work during interventional radiological procedures based on a multicast satellite-terrestrial network [0.03%]
基于多播卫彝综合网的介入放射学手术中的协作工作
Lefteris G Gortzis,Homer Papadopoulos,Theo A Roelofs et al.
Lefteris G Gortzis et al.
Collaboration is a key requirement in several contemporary interventional radiology procedures (IRPs). This work proposes a multicast hybrid satellite system capable of supporting advanced IRP collaboration, and evaluates its feasibility an...
Gheorghita Ghinea,Simon Kent,Andrew O Frank et al.
Gheorghita Ghinea et al.
Traditional approaches to gathering and visualizing pain data rely on two-dimensional (2-D) human body models, where different types of sensation are recorded with various monochrome symbols. We propose an alternative that uses a three-dime...
A probabilistic peptide machine for predicting hepatitis C virus protease cleavage sites [0.03%]
一种用于预测丙型肝炎病毒蛋白酶切割位点的肽类机器的概率模型
Zheng Rong Yang
Zheng Rong Yang
Although various machine learning approaches have been used for predicting protease cleavage sites, constructing a probabilistic model for these tasks is still challenging. This paper proposes a novel algorithm termed as a probabilistic pep...
Ramon Alfredo Moreno,Sérgio Shiguemi Furuie
Ramon Alfredo Moreno
The conventional visualization of medical images is not enough for a rich and comprehensive electronic healthcare record. We believe that it is necessary to provide a viewer with more advanced capabilities than those of regular medical imag...
ELB-Q: a new method for improving the robustness in DNA microarray image quantification [0.03%]
ELB-Q：一种提高DNA微阵列图像定量稳健性的新方法
Marc Q Ma,Kai Zhang,Hui-Yun Wang et al.
Marc Q Ma et al.
Reliable and robust quantification of signal intensities is a critical step in microarray-based biomedical studies. However, traditional techniques for microarray image processing would face significant challenges if the number of pixels us...
Analysis of dynamic susceptibility contrast MRI time series based on unsupervised clustering methods [0.03%]
基于无监督聚类方法的动态对比度增强MRI时间序列分析
A Meyer-Baese,O Lange,A Wismueller et al.
A Meyer-Baese et al.
We compare five different unsupervised clustering techniques as tools for the analysis of dynamic susceptibility contrast MRI time series. The study included four subjects: two subjects with stroke and two subjects without focal neurologica...
Winston H Wu,Alex A T Bui,Maxim A Batalin et al.
Winston H Wu et al.
This paper presents an incremental diagnosis method (IDM) to detect a medical condition with the minimum wearable sensor usage by dynamically adjusting the sensor set based on the patient's state in his/her natural environment. The IDM, com...
Strong compound-risk factors: efficient discovery through emerging patterns and contrast sets [0.03%]
强大的复合风险因素：通过新兴模式和对比集的有效发现
Jinyan Li,Qiang Yang
Jinyan Li
Odds ratio (OR), relative risk (RR) (risk ratio), and absolute risk reduction (ARR) (risk difference) are biostatistics measurements that are widely used for identifying significant risk factors in dichotomous groups of subjects. In the pas...