AIMC Topic: Neural Networks, Computer

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Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction.

BMC bioinformatics
BACKGROUND: Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance. We study the problem of extraction of Adve...

Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images.

Physics in medicine and biology
Positron emission tomography (PET) is a functional imaging modality widely used in neuroscience studies. To obtain meaningful quantitative results from PET images, attenuation correction is necessary during image reconstruction. For PET/MR hybrid sys...

Fine-Tuning CNN Image Retrieval with No Human Annotation.

IEEE transactions on pattern analysis and machine intelligence
Image descriptors based on activations of Convolutional Neural Networks (CNNs) have become dominant in image retrieval due to their discriminative power, compactness of representation, and search efficiency. Training of CNNs, either from scratch or f...

Active Perception With Dynamic Vision Sensors. Minimum Saccades With Optimum Recognition.

IEEE transactions on biomedical circuits and systems
Vision processing with dynamic vision sensors (DVSs) is becoming increasingly popular. This type of a bio-inspired vision sensor does not record static images. The DVS pixel activity relies on the changes in light intensity. In this paper, we introdu...

Medical concept normalization in social media posts with recurrent neural networks.

Journal of biomedical informatics
Text mining of scientific libraries and social media has already proven itself as a reliable tool for drug repurposing and hypothesis generation. The task of mapping a disease mention to a concept in a controlled vocabulary, typically to the standard...

Evidence of Rentian Scaling of Functional Modules in Diverse Biological Networks.

Neural computation
Biological networks have long been known to be modular, containing sets of nodes that are highly connected internally. Less emphasis, however, has been placed on understanding how intermodule connections are distributed within a network. Here, we bor...

Fully Convolutional Network-Based Multifocus Image Fusion.

Neural computation
As the optical lenses for cameras always have limited depth of field, the captured images with the same scene are not all in focus. Multifocus image fusion is an efficient technology that can synthesize an all-in-focus image using several partially f...

A Dynamic Neural Gradient Model of Two-Item and Intermediate Transposition.

Neural computation
Transposition is a tendency for organisms to generalize relationships between stimuli in situations where training does not objectively reward relationships over absolute, static associations. Transposition has most commonly been explained as either ...

Adaptive neuro-fuzzy inference system-based path planning of 5-degrees-of-freedom spatial manipulator for medical applications.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Over the last few decades, medical-assisted robots have been considered by many researchers, within the research domain of robotics. In this article, a 5-degrees-of-freedom spatial medical manipulator is analyzed for path planning, based on inverse k...

Reinforced Adversarial Neural Computer for de Novo Molecular Design.

Journal of chemical information and modeling
In silico modeling is a crucial milestone in modern drug design and development. Although computer-aided approaches in this field are well-studied, the application of deep learning methods in this research area is at the beginning. In this work, we p...