AIMC Topic: Convolutional Neural Networks

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DeepCompoundNet: enhancing compound-protein interaction prediction with multimodal convolutional neural networks.

Journal of biomolecular structure & dynamics Dec 12, 2023
Virtual screening has emerged as a valuable computational tool for predicting compound-protein interactions, offering a cost-effective and rapid approach to identifying potential candidate drug molecules. Current machine learning-based methods rely o...
Drug Discovery Deep Learning Convolutional Neural Networks Protein Binding Computational Biology Proteins Neural Networks, Computer
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A fine-tuning deep residual convolutional neural network for emotion recognition based on frequency-channel matrices representation of one-dimensional electroencephalography.

Computer methods in biomechanics and biomedical engineering Nov 28, 2023
Emotion recognition (ER) plays a crucial role in enabling machines to perceive human emotional and psychological states, thus enhancing human-machine interaction. Recently, there has been a growing interest in ER based on electroencephalogram (EEG) s...
Electroencephalography Signal Processing, Computer-Assisted Deep Learning Convolutional Neural Networks Emotions Humans Neural Networks, Computer
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Pneumonia Detection Using Enhanced Convolutional Neural Network Model on Chest X-Ray Images.

Big data Apr 17, 2023
Pneumonia, caused by microorganisms, is a severely contagious disease that damages one or both the lungs of the patients. Early detection and treatment are typically favored to recover infected patients since untreated pneumonia can lead to major com...
Deep Learning Convolutional Neural Networks ROC Curve Pneumonia Radiography, Thoracic Humans Neural Networks, Computer Algorithms
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Pathological Voice Detection Based on Phase Reconstitution and Convolutional Neural Network.

Journal of voice : official journal of the Voice Foundation Oct 21, 2022
The nonlinear dynamic features can effectively describe the acoustic characteristics of normal and pathological voice. In this paper, the phase space reconstruction and convolution neural network are used to classify the normal and pathological voice...
Signal Processing, Computer-Assisted Acoustics Sound Spectrography Nonlinear Dynamics Speech Acoustics Vocal Cord Paralysis Convolutional Neural Networks Time Factors Predictive Value of Tests Reproducibility of Results Male Humans Case-Control Studies Neural Networks, Computer Databases, Factual Voice Disorders Female Speech Production Measurement Voice Quality
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Diagnosis of Early Glottic Cancer Using Laryngeal Image and Voice Based on Ensemble Learning of Convolutional Neural Network Classifiers.

Journal of voice : official journal of the Voice Foundation Sep 6, 2022
OBJECTIVES: The purpose of study is to improve the classification accuracy by comparing the results obtained by applying decision tree ensemble learning, which is one of the methods to increase the classification accuracy for a relatively small datas...
Video Recording Voice Laryngoscopy Convolutional Neural Networks Humans Early Detection of Cancer Laryngeal Neoplasms Adult Retrospective Studies Decision Trees Male Glottis Diagnosis, Computer-Assisted Sound Recordings
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HS-GC-IMS couples with convolutional neural network for Burkholderia gladioli pv. Cocovenenans detection in Auricularia Auricula.

Food chemistry Sep 15, 2025
The shortage in early detection methods for the pathogen Burkholderia gladioli pv. cocovenenans (BGC) and its toxin bongkrekic acid rises the risk for food poisoning. Combining Headspace-Gas Chromatography-Ion Mobility Spectrometry (HS-GC-IMS) with c...
Limit of Detection Neural Networks, Computer Burkholderia gladioli Gas Chromatography-Mass Spectrometry Convolutional Neural Networks Basidiomycota Food Contamination
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Denoising of high-resolution 3D UTE-MR angiogram data using lightweight and efficient convolutional neural networks.

Magnetic resonance imaging Sep 1, 2025
High-resolution magnetic resonance angiography (∼ 50 μm MRA) data plays a critical role in the accurate diagnosis of various vascular disorders. However, it is very challenging to acquire, and it is susceptible to artifacts and noise which limits its...
Contrast Media Artifacts Signal-To-Noise Ratio Convolutional Neural Networks Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Angiography Phantoms, Imaging Humans Neural Networks, Computer Algorithms
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Pruning the ensemble of convolutional neural networks using second-order cone programming.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Ensemble techniques are frequently encountered in machine learning and engineering problems since the method combines different models and produces an optimal predictive solution. The ensemble concept can be adapted to deep learning models to provide...
Machine Learning Algorithms Deep Learning Neural Networks, Computer Convolutional Neural Networks
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Multiclass ensemble framework for enhanced prostate gland Segmentation: Integrating Self-ONN decoders with EfficientNet.

Computers in biology and medicine Jul 1, 2025
Digital pathology relies on the morphological architecture of prostate glands to recognize cancerous tissue. Prostate cancer (PCa) originates in walnut shaped prostate gland in the male reproductive system. Deep learning (DL) pipelines can assist in ...
Humans Prostatic Neoplasms Prostate Convolutional Neural Networks Image Interpretation, Computer-Assisted Neural Networks, Computer Image Processing, Computer-Assisted Male Magnetic Resonance Imaging Deep Learning
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A vision transformer-convolutional neural network framework for decision-transparent dual-energy X-ray absorptiometry recommendations using chest low-dose CT.

International journal of medical informatics Jul 1, 2025
OBJECTIVE: This study introduces an ensemble framework that integrates Vision Transformer (ViT) and Convolutional Neural Networks (CNN) models to leverage their complementary strengths, generating visualized and decision-transparent recommendations f...
Osteoporosis Tomography, X-Ray Computed Female Humans Neural Networks, Computer Bone Density Middle Aged Convolutional Neural Networks Absorptiometry, Photon Aged Adult Male
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