AIMC Topic: Uncertainty

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UC-NeRF: Uncertainty-Aware Conditional Neural Radiance Fields From Endoscopic Sparse Views.

IEEE transactions on medical imaging Mar 17, 2025
Visualizing surgical scenes is crucial for revealing internal anatomical structures during minimally invasive procedures. Novel View Synthesis is a vital technique that offers geometry and appearance reconstruction, enhancing understanding, planning,...
Humans Neural Networks, Computer Imaging, Three-Dimensional Image Processing, Computer-Assisted Uncertainty Algorithms Endoscopy
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A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI.

Medical image analysis Mar 14, 2025
Diffusion MRI (dMRI) is the primary imaging modality used to study brain microstructure in vivo. Reliable and computationally efficient parameter inference for common dMRI biophysical models is a challenging inverse problem, due to factors such as va...
White Matter Connectome Image Processing, Computer-Assisted Signal-To-Noise Ratio Uncertainty Diffusion Magnetic Resonance Imaging Humans Algorithms Computer Simulation Deep Learning Brain
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Control of medical digital twins with artificial neural networks.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Mar 13, 2025
The objective of precision medicine is to tailor interventions to an individual patient's unique characteristics. A key technology for this purpose involves medical digital twins, computational models of human biology that can be personalized and dyn...
Humans Neural Networks, Computer Computer Simulation Stochastic Processes Uncertainty Precision Medicine Models, Biological
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Introduction of a hybrid approach based on statistical shape model and Adaptive Neural Fuzzy Inference System (ANFIS) to assess dosimetry uncertainty: A Monte Carlo study.

Computers in biology and medicine Mar 10, 2025
The increasing use of ionizing radiation has raised concerns about adverse and long-term health risks for individuals. Therefore, to evaluate the range of risks and protection against ionizing radiation, it is necessary to assess the dosimetry calcul...
Uncertainty Phantoms, Imaging Radiometry Humans Lung Fuzzy Logic Models, Statistical Monte Carlo Method
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CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters.

Nature communications Feb 28, 2025
Estimation of enzymatic activities still heavily relies on experimental assays, which can be cost and time-intensive. We present CatPred, a deep learning framework for predicting in vitro enzyme kinetic parameters, including turnover numbers (k), Mic...
Deep Learning Enzymes Kinetics Uncertainty
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Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal.

Sensors (Basel, Switzerland) Feb 26, 2025
Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimation of RRs for cardiopulmonary function is essential for home health monitoring systems. However, machine learning (ML) algorithm errors embedded in hea...
Algorithms Uncertainty Dyspnea Aged Monitoring, Physiologic Photoplethysmography Female Humans Respiratory Rate Male Signal Processing, Computer-Assisted Machine Learning
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Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation.

Scientific reports Feb 22, 2025
Pathologists have depended on their visual experience to assess tissue structures in smear images, which was time-consuming, error-prone, and inconsistent. Deep learning, particularly Convolutional Neural Networks (CNNs), offers the ability to automa...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Algorithms Supervised Machine Learning Uncertainty
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Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare.

International journal of medical informatics Feb 21, 2025
BACKGROUND: The increasing use of Deep Learning (DL) in healthcare has highlighted the critical need for improved transparency and interpretability. While Explainable Artificial Intelligence (XAI) methods provide insights into model predictions, reli...
Deep Learning Uncertainty Delivery of Health Care Reproducibility of Results Humans Artificial Intelligence
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A machine learning approach to feature selection and uncertainty analysis for biogas production in wastewater treatment plants.

Waste management (New York, N.Y.) Feb 21, 2025
The growing demand for efficient waste management solutions and renewable energy sources has driven research into predicting biogas production at wastewater treatment plants. This study outlines a methodology starting with data collection from a full...
Waste Disposal, Fluid Biofuels Machine Learning Uncertainty Wastewater
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C-UQ: Conflict-based uncertainty quantification-A case study in lung cancer classification.

Computers in biology and medicine Feb 19, 2025
Uncertainty quantification is crucial in deep learning, especially in medical diagnostics, to measure model prediction confidence and ensure reliable clinical decisions. This study introduces a novel conflict-based uncertainty quantification approach...
Lung Neoplasms Uncertainty Databases, Factual Deep Learning Humans Neural Networks, Computer
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