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...
Humans Emotions Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Deep Learning Convolutional Neural Networks
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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...
Algorithms Deep Learning Convolutional Neural Networks ROC Curve Pneumonia Radiography, Thoracic Humans Neural Networks, Computer
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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...
Speech Production Measurement Voice Quality Speech Acoustics Vocal Cord Paralysis Voice Disorders Female Reproducibility of Results Male Case-Control Studies Signal Processing, Computer-Assisted Convolutional Neural Networks Humans Acoustics Time Factors Neural Networks, Computer Sound Spectrography Predictive Value of Tests Databases, Factual Nonlinear Dynamics
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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...
Decision Trees Laryngoscopy Video Recording Humans Male Laryngeal Neoplasms Retrospective Studies Voice Diagnosis, Computer-Assisted Glottis Adult Convolutional Neural Networks Sound Recordings Early Detection of Cancer
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[An unsupervised three-dimensional medical image registration method based on shifted window Transformer and convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 25, 2025
Three-dimensional (3D) deformable image registration plays a critical role in 3D medical image processing. This technique aligns images from different time points, modalities, or individuals in 3D space, enabling the comparison and fusion of anatomic...
Convolutional Neural Networks Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms
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Enabling Early Identification of Malignant Vertebral Compression Fractures Through 2.5D Convolutional Neural Network Model With CT Image Analysis.

Spine Dec 15, 2025
STUDY DESIGN: This study used a retrospective data analysis approach combined with model development and validation.
Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Male Middle Aged Convolutional Neural Networks Spinal Neoplasms Female Aged Aged, 80 and over Spinal Fractures Fractures, Compression Osteoporotic Fractures
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Micropore array-based SERS sensor assisted by convolutional neural networks for subsurface biotoxic-free detection of interstitial fluid in bioassays.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 15, 2025
Accurate and sensitive detection of small-molecule metabolites such as uric acid, glucose, and lactic acid is critical in biomedical diagnostics and clinical applications. Traditional detection methods often face limitations such as complex procedure...
Glucose Biological Assay Lactic Acid Swine Convolutional Neural Networks Biosensing Techniques Spectrum Analysis, Raman Extracellular Fluid Limit of Detection Uric Acid Neural Networks, Computer Animals
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Early diagnosis model of mycosis fungoides and five inflammatory skin diseases based on a multimodal data-based convolutional neural network.

The British journal of dermatology Oct 17, 2025
BACKGROUND: Mycosis fungoides (MF) is the most common type of cutaneous T-cell lymphoma, and early-stage MF is difficult to differentiate from erythematous inflammatory disease. With the exception of biopsy, noninvasive information such as a patient'...
Dermatologists Early Diagnosis Mycosis Fungoides Dermatitis Skin Neoplasms Convolutional Neural Networks Dermoscopy Diagnosis, Differential Aged Skin Adult Humans Male Neural Networks, Computer Middle Aged Retrospective Studies Deep Learning Female
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Structure from motion-convolutional neural network model (SfM-CNN) achieved accurate portable Chinese dietary chemical composition estimation for dietary recall.

Food chemistry Oct 15, 2025
Accurately estimating the chemical composition of dietary intake is essential for health and nutrition management, especially in regions with complex culinary diversity like China. This study introduces a novel AI-driven solution using a Structure fr...
China Food Analysis Algorithms Diet Convolutional Neural Networks Neural Networks, Computer
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