AIMC Topic: Calibration

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Application of transfer learning for rapid calibration of spatially resolved diffuse reflectance probes for extraction of tissue optical properties.

Journal of biomedical optics Feb 28, 2024
SIGNIFICANCE: Treatment planning for light-based therapies including photodynamic therapy requires tissue optical property knowledge. This is recoverable with spatially resolved diffuse reflectance spectroscopy (DRS) but requires precise source-detec...
Fiber Optic Technology Calibration Neural Networks, Computer Machine Learning Computer Simulation
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SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization.

Journal of biomedical informatics Feb 5, 2024
Electronic health records (EHRs) store an extensive array of patient information, encompassing medical histories, diagnoses, treatments, and test outcomes. These records are crucial for enabling healthcare providers to make well-informed decisions re...
Humans Health Personnel Natural Language Processing Electronic Health Records Calibration Language
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Towards Real-Time Sleep Stage Prediction and Online Calibration Based on Architecturally Switchable Deep Learning Models.

IEEE journal of biomedical and health informatics Jan 4, 2024
Despite the recent advances in automatic sleep staging, few studies have focused on real-time sleep staging to promote the regulation of sleep or the intervention of sleep disorders. In this paper, a novel network named SwSleepNet, that can handle bo...
Humans Deep Learning Sleep Stages Sleep Calibration Electroencephalography
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Development of a PAT platform for the prediction of granule tableting properties.

International journal of pharmaceutics Nov 15, 2023
In this work, the feasibility of implementing a process analytical technology (PAT) platform consisting of Near Infrared Spectroscopy (NIR) and particle size distribution (PSD) analysis was evaluated for the prediction of granule downstream processab...
Temperature Spectroscopy, Near-Infrared Neural Networks, Computer Least-Squares Analysis Calibration
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Automated vertebral bone mineral density measurement with phantomless internal calibration in chest LDCT scans using deep learning.

The British journal of radiology Oct 24, 2023
OBJECTIVE: To develop and evaluate a fully automated method based on deep learning and phantomless internal calibration for bone mineral density (BMD) measurement and opportunistic low BMD (osteopenia and osteoporosis) screening using chest low-dose ...
Absorptiometry, Photon Tomography, X-Ray Computed Deep Learning Lumbar Vertebrae Calibration Bone Density Osteoporosis Humans
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A Novel Deep Learning Model for Medical Report Generation by Inter-Intra Information Calibration.

IEEE journal of biomedical and health informatics Oct 5, 2023
Automatic generation of medical reports can provide diagnostic assistance to doctors and reduce their workload. To improve the quality of the generated medical reports, injecting auxiliary information through knowledge graphs or templates into the mo...
Deep Learning Calibration Knowledge Electric Power Supplies Humans COVID-19
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Gradient-based geometry learning for fan-beam CT reconstruction.

Physics in medicine and biology Oct 2, 2023
Incorporating computed tomography (CT) reconstruction operators into differentiable pipelines has proven beneficial in many applications. Such approaches usually focus on the projection data and keep the acquisition geometry fixed. However, precise k...
Image Processing, Computer-Assisted Neural Networks, Computer Artifacts Calibration Tomography, X-Ray Computed Algorithms Phantoms, Imaging Cone-Beam Computed Tomography
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Understanding calibration of deep neural networks for medical image classification.

Computer methods and programs in biomedicine Sep 22, 2023
Background and Objective - In the field of medical image analysis, achieving high accuracy is not enough; ensuring well-calibrated predictions is also crucial. Confidence scores of a deep neural network play a pivotal role in explainability by provid...
Neural Networks, Computer Benchmarking Empirical Research Rotation Calibration
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Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment.

Water research Jun 24, 2023
Representing reality in a numerical model is complex. Conventionally, hydraulic models of water distribution networks are a tool for replicating water supply system behaviour through simulation by means of approximation of physical equations. A calib...
Uncertainty Neural Networks, Computer Calibration Computer Simulation Water Supply
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An Improved Design of the MultiCal On-Site Calibration Device for Industrial Robots.

Sensors (Basel, Switzerland) Jun 19, 2023
MultiCal is an affordable, high-precision measuring device designed for the on-site calibration of industrial robots. Its design features a long measuring rod with a spherical tip that is attached to the robot. By restricting the rod's tip to multipl...
Robotics Algorithms Calibration
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