AIMC Topic: Uncertainty

Clear Filters Showing 81 to 90 of 706 articles

Uncertainty guided semi-supervised few-shot segmentation with prototype level fusion.

Neural networks : the official journal of the International Neural Network Society Oct 18, 2024
Few-Shot Semantic Segmentation (FSS) aims to tackle the challenge of segmenting novel categories with limited annotated data. However, given the diversity among support-query pairs, transferring meta-knowledge to unseen categories poses a significant...
Humans Neural Networks, Computer Supervised Machine Learning Semantics Uncertainty Algorithms Image Processing, Computer-Assisted
View on PubMed DOI

Neural parameter calibration and uncertainty quantification for epidemic forecasting.

PloS one Oct 17, 2024
The recent COVID-19 pandemic has thrown the importance of accurately forecasting contagion dynamics and learning infection parameters into sharp focus. At the same time, effective policy-making requires knowledge of the uncertainty on such prediction...
Forecasting Uncertainty Humans Calibration Neural Networks, Computer Markov Chains SARS-CoV-2 Pandemics COVID-19 Monte Carlo Method
View on PubMed DOI

HAGMN-UQ: Hyper association graph matching network with uncertainty quantification for coronary artery semantic labeling.

Medical image analysis Oct 11, 2024
Coronary artery disease (CAD) is one of the leading causes of death worldwide. Accurate extraction of individual arterial branches from invasive coronary angiograms (ICA) is critical for CAD diagnosis and detection of stenosis. Generating semantic se...
Uncertainty Coronary Artery Disease Semantics Humans Neural Networks, Computer Deep Learning Coronary Angiography Algorithms
View on PubMed DOI

Deep Conformal Supervision: Leveraging Intermediate Features for Robust Uncertainty Quantification.

Journal of imaging informatics in medicine Oct 7, 2024
Trustworthiness is crucial for artificial intelligence (AI) models in clinical settings, and a fundamental aspect of trustworthy AI is uncertainty quantification (UQ). Conformal prediction as a robust uncertainty quantification (UQ) framework has bee...
Humans Artificial Intelligence Intracranial Hemorrhages Deep Learning Radiography, Thoracic Pneumonia Uncertainty
View on PubMed DOI

Prediction of pathological complete response to chemotherapy for breast cancer using deep neural network with uncertainty quantification.

Medical physics Oct 6, 2024
BACKGROUND: The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to evaluate multiple new therapeutic drugs for high-risk breast cancer. Previous studies suggest that pathological complete response (pCR) is a viable indic...
Uncertainty Antineoplastic Agents Deep Learning Neoadjuvant Therapy Magnetic Resonance Imaging Neural Networks, Computer Treatment Outcome Female Breast Neoplasms Humans
View on PubMed DOI

Uncertainty-aware probabilistic graph neural networks for road-level traffic crash prediction.

Accident; analysis and prevention Oct 2, 2024
Traffic crashes present substantial challenges to human safety and socio-economic development in urban areas. Developing a reliable and responsible traffic crash prediction model is crucial to address growing public safety concerns and improve the sa...
Neural Networks, Computer Risk Assessment Deep Learning Humans Uncertainty Models, Statistical Accidents, Traffic
View on PubMed DOI

Quantification of uncertainty in short-term tropospheric column density risks for a wide range of carbon monoxide.

Journal of environmental management Oct 2, 2024
The short-term risks associated with atmospheric trace gases, particularly carbon monoxide (CO), are critical for ecological security and human health. Traditional statistical methods, which still dominate the assessment of these risks, limit the pot...
Uncertainty Risk Assessment China Humans Bayes Theorem Environmental Monitoring Machine Learning Carbon Monoxide COVID-19
View on PubMed DOI

Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video.

Computer methods and programs in biomedicine Sep 26, 2024
BACKGROUND AND OBJECTIVES: Post-traumatic stress disorder is a debilitating psychological condition that can manifest following exposure to traumatic events. It affects individuals from diverse backgrounds and is associated with various symptoms, inc...
Algorithms Deep Learning Stochastic Processes Stress Disorders, Post-Traumatic Humans Video Recording Uncertainty Facial Expression
View on PubMed DOI

Quantifying and visualising uncertainty in deep learning-based segmentation for radiation therapy treatment planning: What do radiation oncologists and therapists want?

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 24, 2024
BACKGROUND AND PURPOSE: During the ESTRO 2023 physics workshop on "AI for the fully automated radiotherapy treatment chain", the topic of deep learning (DL) segmentation was discussed. Despite its widespread use in radiotherapy, the time needed to ev...
Humans Deep Learning Radiation Oncologists Uncertainty Radiotherapy Planning, Computer-Assisted
View on PubMed DOI

Data-centric challenges with the application and adoption of artificial intelligence for drug discovery.

Expert opinion on drug discovery Sep 24, 2024
INTRODUCTION: Artificial intelligence (AI) is exhibiting tremendous potential to reduce the massive costs and long timescales of drug discovery. There are however important challenges currently limiting the impact and scope of AI models.
Artificial Intelligence Drug Discovery Drug Development Humans Models, Theoretical Benchmarking Bias Uncertainty
View on PubMed DOI
Popular Topics
Recent Journals