AIMC Topic: Algorithms

Clear Filters Showing 25241 to 25250 of 28713 articles

DACVNet: Dual Attention Concatenation Volume Net for Stereo Endoscope 3D Reconstruction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Depth estimation is a crucial task in endoscopy for three-dimensional reconstruction, surgical navigation, and augmented reality visualization. Stereo scope based depth estimation which involves capturing two images from different viewpoints, is a pr...
Imaging, Three-Dimensional Phantoms, Imaging Algorithms Endoscopes Humans Endoscopy Neural Networks, Computer
View on PubMed DOI

Improving Neonatal Care with AI: Class Weight Optimization for Respiratory Distress Syndrome Prediction in Very Low Birth Weight Infants.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
In this study, we developed an AI model to predict Respiratory Distress Syndrome (RDS) in premature infants, aiming to reduce unnecessary treatment with artificial pulmonary surfactant. We analyzed data from 13,120 infants in 76 hospitals, considerin...
Algorithms Female Infant, Newborn Artificial Intelligence Male Humans Infant, Very Low Birth Weight Machine Learning Support Vector Machine Neural Networks, Computer Respiratory Distress Syndrome, Newborn Infant, Premature
View on PubMed DOI

Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Speech emotion recognition (SER) in health applications can offer several benefits by providing insights into the emotional well-being of individuals. In this work, we propose a method for SER using time-frequency representation of the speech signals...
Emotions Signal Processing, Computer-Assisted Algorithms Speech Humans Neural Networks, Computer
View on PubMed DOI

Deep Left Ventricular Motion Estimation Methods in Echocardiography: A Comparative Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Motion estimation in echocardiography is critical when assessing heart function and calculating myocardial deformation indices. Nevertheless, there are limitations in clinical practice, particularly with regard to the accuracy and reliability of meas...
Algorithms Reproducibility of Results Humans Image Processing, Computer-Assisted Movement Heart Ventricles Motion Echocardiography Deep Learning
View on PubMed DOI

Leveraging Graph Neural Networks for MIC Prediction in Antimicrobial Resistance Studies.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Antimicrobial resistance (AMR) poses a significant challenge in healthcare and public health, with organisms such as nontyphoidal Salmonella leading the way due to their escalating resistance to antimicrobial agents. This situation severely complicat...
Microbial Sensitivity Tests Graph Neural Networks Anti-Bacterial Agents Drug Resistance, Bacterial Humans Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

Explainable AI (XAI) for Neonatal Pain Assessment via Influence Function Modification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
As machine learning increasingly plays a crucial role in various medical applications, the need for improved explainability of these complex, often opaque models becomes more urgent. Influence functions have emerged as a critical method for explainin...
Humans Machine Learning Infant, Newborn Pain Measurement Algorithms
View on PubMed DOI

C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Graph-based learning approaches, due to their ability to encode tissue/organ structure information, are increasingly favored for grading colorectal cancer histology images. Recent graph-based techniques involve dividing whole slide images (WSIs) into...
Algorithms Colorectal Neoplasms Image Processing, Computer-Assisted Humans Neural Networks, Computer Neoplasm Grading
View on PubMed DOI

Unsupervised Anomaly Detection by Learning Elastic Transformations Within an Autoencoder Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Machine learning has approached magnetic resonance image (MRI) analysis using multiple techniques, including deep supervised learning methodologies, where lesions such as tumors or features associated with defined pathologies have been identified sat...
Machine Learning Algorithms Brain Humans Unsupervised Machine Learning Autoencoder Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Deep learning models are being adopted and applied across various critical medical tasks, yet they are primarily trained to provide point predictions without providing degrees of confidence. Medical practitioner's trustworthiness of deep learning mod...
Regression Analysis Machine Learning Uncertainty Algorithms Humans Antineoplastic Agents Deep Learning Neoplasms
View on PubMed DOI

Dynamic multi-hypergraph structure learning for disease diagnosis on multimodal data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
With its superior capability in complex data modeling, hypergraph computation is a powerful tool for many applications. In this work, we propose using hypergraph computation for disease prediction. Hypergraphs allow for the representation of higher-o...
Humans Neural Networks, Computer Machine Learning Diagnosis, Computer-Assisted Cluster Analysis Alzheimer Disease Algorithms Autism Spectrum Disorder
View on PubMed DOI
Popular Topics
Recent Journals