AIMC Topic: Neural Networks, Computer

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An artificial neural network model to predict structure-based protein-protein free energy of binding from Rosetta-calculated properties.

Physical chemistry chemical physics : PCCP
The prediction of the free energy (Δ) of binding for protein-protein complexes is of general scientific interest as it has a variety of applications in the fields of molecular and chemical biology, materials science, and biotechnology. Despite its ce...

A pharmacokinetic model based on the SSA-1DCNN-Attention method.

Journal of bioinformatics and computational biology
To solve the problem of the lack of representativeness of the training set and the poor prediction accuracy due to the limited number of training samples when the machine learning method is used for the classification and prediction of pharmacokineti...

Non-invasive regional cerebral blood flow quantification in the 123I-IMP autoradiography using artificial neural network.

PloS one
PURPOSE: Regional cerebral blood flow (rCBF) quantification using 123I-N-isopropyl-p-iodoamphetamine (123I-IMP) requires an invasive, one-time-only arterial blood sampling for measuring the 123I-IMP arterial blood radioactivity concentration (Ca10). ...

Fully nondestructive analysis of capsaicinoids electrochemistry data with deep neural network enables portable system.

Food chemistry
Electrochemical methods have been extensively applied for the detection of chemical information from food or other analytes. However, existing electrochemical methods are limited to focusing solely on the absorption peaks and disregard much of the hi...

Generation and application of a convolutional neural networks algorithm in evaluating stool consistency in diapers.

Acta paediatrica (Oslo, Norway : 1992)
AIM: The aim of the study was to develop a deep convolutional neural networks (CNNs) algorithm for automated assessment of stool consistency from diaper photographs and test its performance under real-world conditions.

Time-varying modeling and intelligent compensation control of singletendon-sheath structure of surgical robot.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
The inaccurate force and position control of tendon sheath system (TSS) due to nonlinear friction during surgery seriously hinders its development in the field of precision surgical robots. To this end, this paper proposes a time-varying bending angl...

EG-TransUNet: a transformer-based U-Net with enhanced and guided models for biomedical image segmentation.

BMC bioinformatics
Although various methods based on convolutional neural networks have improved the performance of biomedical image segmentation to meet the precision requirements of medical imaging segmentation task, medical image segmentation methods based on deep l...

Hyperspectral imaging-based cutaneous wound classification using neighbourhood extraction 3D convolutional neural network.

Biomedizinische Technik. Biomedical engineering
OBJECTIVES: Hyperspectral imaging is an emerging imaging modality that beginning to gain attention for medical research and has an important potential in clinical applications. Nowadays, spectral imaging modalities such as multispectral and hyperspec...

FasterRib: A deep learning algorithm to automate identification and characterization of rib fractures on chest computed tomography scans.

The journal of trauma and acute care surgery
OBJECTIVE: Characterizing and enumerating rib fractures are critical to informing clinical decisions, yet in-depth characterization is rarely performed because of the manual burden of annotating these injuries on computed tomography (CT) scans. We hy...

Global synchronization of complex-valued neural networks with unbounded time-varying delays.

Neural networks : the official journal of the International Neural Network Society
This paper investigates global synchronization of complex-valued neural networks (CVNNs) with unbounded time-varying delays. By applying analytical method and inequality techniques, an algebraic criterion is established to ensure global synchronizati...