Peter H Charlton,Panicos A Kyriaco,Jonathan Mant et al.
Peter H Charlton et al.
Smart wearables provide an opportunity to monitor health in daily life and are emerging as potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands and smartwatches routinely monitor the photoplethysmogram...
Andrea A Chiba,Jeffrey L Krichmar
Andrea A Chiba
In this article, we explore neurobiological principles that could be deployed in systems requiring self-preservation, adaptive control, and contextual awareness. We start with low-level control for sensor processing and motor reflexes. We t...
Bin He,Bryan Baxter,Bradley J Edelman et al.
Bin He et al.
Brain-computer interfaces (BCIs) have been explored in the field of neuroengineering to investigate how the brain can use these systems to control external devices. We review the principles and approaches we have taken to develop a sensorim...
Hui Yang,Prahalad Rao,Timothy Simpson et al.
Hui Yang et al.
Quality is a key determinant in deploying new processes, products, or services and influences the adoption of emerging manufacturing technologies. The advent of additive manufacturing (AM) as a manufacturing process has the potential to rev...
Engineering a Global Response to Infectious Diseases: This paper presents a more robust, adaptable, and scalable engineering infrastructure to improve the capability to respond to infectious diseases. Contributed Paper [0.03%]
工程应对传染病的全球响应：用于提升应对传染病能力的更为稳健、灵活和可扩展的工程基础设施。技术论文
J Patrick Fitch
J Patrick Fitch
Infectious diseases are a major cause of death and economic impact worldwide. A more robust, adaptable, and scalable infrastructure would improve the capability to respond to epidemics. Because engineers contribute to the design and impleme...
Comparison of Breast MRI Tumor Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods [0.03%]
基于放射组学、深度学习和融合方法的乳腺MRI肿瘤分类性能比较研究
Heather M Whitney,Hui Li,Yu Ji et al.
Heather M Whitney et al.
Digital image-based signatures of breast tumors may ultimately contribute to the design of patient-specific breast cancer diagnostics and treatments. Beyond traditional human-engineered computer vision methods, tumor classification methods ...
Paul Nuyujukian,Jonathan C Kao,Stephen I Ryu et al.
Paul Nuyujukian et al.
Brain-computer interfaces (BCIs) record brain activity and translate the information into useful control signals. They can be used to restore function to people with paralysis by controlling end effectors such as computer cursors and roboti...
Machine Learning for Rapid Magnetic Resonance Fingerprinting Tissue Property Quantification [0.03%]
机器学习加速磁共振指纹技术组织参数定量分析
Jesse I Hamilton,Nicole Seiberlich
Jesse I Hamilton
Magnetic Resonance Fingerprinting (MRF) is an MRI-based method that can provide quantitative maps of multiple tissue properties simultaneously from a single rapid acquisition. Tissue property maps are generated by matching the complex signa...
The Information Content of Glutamine-Rich Sequences Define Protein Functional Characteristics [0.03%]
谷氨酰胺丰富序列的信息内容定义蛋白质的功能特性
Arpita Sen,Wen-Chieh Hsieh,R Claudio Aguilar
Arpita Sen
The presence of abnormally expanded glutamine (Q) repeats within specific proteins (e.g., huntingtin) are the well-established cause of several neurogenerative diseases, including Huntington disease and spinocerebellar ataxias. However, the...
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning [0.03%]
从稀疏到数据自适应方法和机器学习的图像重建技术
Saiprasad Ravishankar,Jong Chul Ye,Jeffrey A Fessler
Saiprasad Ravishankar
The field of medical image reconstruction has seen roughly four types of methods. The first type tended to be analytical methods, such as filtered back-projection (FBP) for X-ray computed tomography (CT) and the inverse Fourier transform fo...