AIMC Topic: Humans
Showing 64581 to 64590 of 95995 articles
Knowledge-guided convolutional networks for chemical-disease relation extraction.
BMC bioinformatics
May 21, 2019
BACKGROUND: Automatic extraction of chemical-disease relations (CDR) from unstructured text is of essential importance for disease treatment and drug development. Meanwhile, biomedical experts have built many highly-structured knowledge bases (KBs), ...
FaceSync: Open source framework for recording facial expressions with head-mounted cameras.
F1000Research
May 21, 2019
Advances in computer vision and machine learning algorithms have enabled researchers to extract facial expression data from face video recordings with greater ease and speed than standard manual coding methods, which has led to a dramatic increase in...
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Reconstructing faces from fMRI patterns using deep generative neural networks.
Communications biology
May 21, 2019
Although distinct categories are reliably decoded from fMRI brain responses, it has proved more difficult to distinguish visually similar inputs, such as different faces. Here, we apply a recently developed deep learning system to reconstruct face im...
A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models.
IEEE journal of biomedical and health informatics
May 20, 2019
We consider the problem in precision health of grouping people into subpopulations based on their degree of vulnerability to a risk factor. These subpopulations cannot be discovered with traditional clustering techniques because their quality is eval...
Evaluating and Enhancing the Generalization Performance of Machine Learning Models for Physical Activity Intensity Prediction From Raw Acceleration Data.
IEEE journal of biomedical and health informatics
May 20, 2019
PURPOSE: To evaluate and enhance the generalization performance of machine learning physical activity intensity prediction models developed with raw acceleration data on populations monitored by different activity monitors.
Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks.
IEEE transactions on medical imaging
May 20, 2019
Fully convolutional networks have been achieving remarkable results in image semantic segmentation, while being efficient. Such efficiency results from the capability of segmenting several voxels in a single forward pass. So, there is a direct spatia...
Highly accelerated multishot echo planar imaging through synergistic machine learning and joint reconstruction.
Magnetic resonance in medicine
May 20, 2019
PURPOSE: To introduce a combined machine learning (ML)- and physics-based image reconstruction framework that enables navigator-free, highly accelerated multishot echo planar imaging (msEPI) and demonstrate its application in high-resolution structur...
Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning.
NeuroImage
May 20, 2019
Detecting cerebral microbleeds (CMBs) is important in diagnosing a variety of diseases including dementia, stroke and traumatic brain injury. However, manual detection of CMBs can be time-consuming and prone to errors, whereas the current automatic a...
Adaptation of CytoProcessor for cervical cancer screening of challenging slides.
Diagnostic cytopathology
May 20, 2019
BACKGROUND: Current automated cervical cytology screening systems require purchase of a dedicated preparation machine and use of a specific staining protocol. CytoProcessor (DATEXIM, Caen, France) is a new automated system, designed to integrate seam...
The role of AI classifiers in skin cancer images.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
May 20, 2019
BACKGROUND: The use of different imaging modalities to assist in skin cancer diagnosis is a common practice in clinical scenarios. Different features representative of the lesion under evaluation can be retrieved from image analysis and processing. H...
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