AIMC Topic: Probability

Clear Filters Showing 51 to 60 of 434 articles

Metaparametric Neural Networks for Survival Analysis.

IEEE transactions on neural networks and learning systems Aug 4, 2023
Survival analysis is a critical tool for the modeling of time-to-event data, such as life expectancy after a cancer diagnosis or optimal maintenance scheduling for complex machinery. However, current neural network models provide an imperfect solutio...
Probability Survival Analysis Neural Networks, Computer Algorithms
View on PubMed DOI

Deep Neural Networks for Predicting Single-Cell Responses and Probability Landscapes.

ACS synthetic biology Jul 19, 2023
Engineering biology relies on the accurate prediction of cell responses. However, making these predictions is challenging for a variety of reasons, including the stochasticity of biochemical reactions, variability between cells, and incomplete inform...
Gene Regulatory Networks Probability Synthetic Biology Neural Networks, Computer Machine Learning
View on PubMed DOI

External validation of machine learning algorithm predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients using a Taiwanese cohort.

Journal of the Formosan Medical Association = Taiwan yi zhi Jul 13, 2023
BACKGROUND/PURPOSE: Identifying patients at risk of prolonged opioid use after surgery prompts appropriate prescription and personalized treatment plans. The Skeletal Oncology Research Group machine learning algorithm (SORG-MLA) was developed to pred...
Retrospective Studies Analgesics, Opioid Machine Learning Algorithms Probability Prescriptions Humans
View on PubMed DOI

Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data.

IEEE transactions on neural networks and learning systems Jul 6, 2023
The Cox proportional hazard model has been widely applied to cancer prognosis prediction. Nowadays, multi-modal data, such as histopathological images and gene data, have advanced this field by providing histologic phenotype and genotype information....
Learning Probability Generalization, Psychological Neural Networks, Computer Prognosis
View on PubMed DOI

Spatial-Spectral Unified Adaptive Probability Graph Convolutional Networks for Hyperspectral Image Classification.

IEEE transactions on neural networks and learning systems Jul 6, 2023
In hyperspectral image (HSI) classification task, semisupervised graph convolutional network (GCN)-based methods have received increasing attention. However, two problems still need to be addressed. The first is that the initial graph structure in th...
Neural Networks, Computer Benchmarking Probability Learning Sample Size
View on PubMed DOI

Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data.

Journal of neurophysiology Jul 5, 2023
Unsupervised, data-driven methods are commonly used in neuroscience to automatically decompose data into interpretable patterns. These patterns differ from one another depending on the assumptions of the models. How these assumptions affect specific ...
Algorithms Unsupervised Machine Learning Probability Markov Chains
View on PubMed DOI

Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation.

Computers in biology and medicine Jun 1, 2023
Uncertainty quantification in automated image analysis is highly desired in many applications. Typically, machine learning models in classification or segmentation are only developed to provide binary answers; however, quantifying the uncertainty of ...
Uncertainty Deep Learning Image Processing, Computer-Assisted Probability Calibration Humans
View on PubMed DOI

Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer.

Medical physics May 4, 2023
BACKGROUND: In cancer care, determining the most beneficial treatment technique is a key decision affecting the patient's survival and quality of life. Patient selection for proton therapy (PT) over conventional radiotherapy (XT) currently entails co...
Organs at Risk Radiotherapy Planning, Computer-Assisted Probability Radiotherapy Dosage Humans Oropharyngeal Neoplasms Deep Learning Artificial Intelligence Patient Selection Quality of Life Radiotherapy, Intensity-Modulated Proton Therapy
View on PubMed DOI

Deep learning prediction of post-SBRT liver function changes and NTCP modeling in hepatocellular carcinoma based on DGAE-MRI.

Medical physics Apr 6, 2023
BACKGROUND: Stereotactic body radiation therapy (SBRT) produces excellent local control for patients with hepatocellular carcinoma (HCC). However, the risk of toxicity for normal liver tissue is still a limiting factor. Normal tissue complication pro...
Liver Neoplasms Carcinoma, Hepatocellular Radiosurgery Humans Probability Deep Learning Radiotherapy Dosage
View on PubMed DOI

Automatic detection of punctate white matter lesions in infants using deep learning of composite images from two cases.

Scientific reports Mar 17, 2023
Punctate white matter lesions (PWMLs) in infants may be related to neurodevelopmental outcomes based on the location or number of lesions. This study aimed to assess the automatic detectability of PWMLs in infants on deep learning using composite ima...
Magnetic Resonance Imaging Probability Infant Humans Cerebral Cortex Deep Learning White Matter
View on PubMed DOI
Popular Topics
Recent Journals