AIMC Topic: Algorithms

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Deep learning-based Lorentzian fitting of water saturation shift referencing spectra in MRI.

Magnetic resonance in medicine
PURPOSE: Water saturation shift referencing (WASSR) Z-spectra are used commonly for field referencing in chemical exchange saturation transfer (CEST) MRI. However, their analysis using least-squares (LS) Lorentzian fitting is time-consuming and prone...

Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends.

Chemosphere
Wastewater treatment is a complex process that involves many uncertainties, leading to fluctuations in effluent quality and costs, and environmental risks. Artificial intelligence (AI) can handle complex nonlinear problems and has become a powerful t...

Deep-learning CT reconstruction in clinical scans of the abdomen: a systematic review and meta-analysis.

Abdominal radiology (New York)
OBJECTIVE: To perform a systematic literature review and meta-analysis of the two most common commercially available deep-learning algorithms for CT.

Deep Voxelized Feature Maps for Self-Localization in Autonomous Driving.

Sensors (Basel, Switzerland)
Lane-level self-localization is essential for autonomous driving. Point cloud maps are typically used for self-localization but are known to be redundant. Deep features produced by neural networks can be used as a map, but their simple utilization co...

Precision Denavit-Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches.

Sensors (Basel, Switzerland)
Precision object handling and manipulation require the accurate positioning of industrial robots. A common practice for performing end effector positioning is to read joint angles and use industrial robot forward kinematics (FKs). However, industrial...

A Novel Steganography Method for Infrared Image Based on Smooth Wavelet Transform and Convolutional Neural Network.

Sensors (Basel, Switzerland)
Infrared images have been widely used in many research areas, such as target detection and scene monitoring. Therefore, the copyright protection of infrared images is very important. In order to accomplish the goal of image-copyright protection, a la...

Optimized feature fusion-based modified cascaded kernel extreme learning machine for heart disease prediction in E-healthcare.

Computer methods in biomechanics and biomedical engineering
In recent years, medical technological innovators have focused on diverse clinical therapies to find innovative ways to overcome clinical challenges. But still, there emerge certain drawbacks like high computational cost, increased error, less traini...

Generalizability and portability of natural language processing system to extract individual social risk factors.

International journal of medical informatics
OBJECTIVE: The objective of this study is to validate and report on portability and generalizability of a Natural Language Processing (NLP) method to extract individual social factors from clinical notes, which was originally developed at a different...

A deep-learning-based clinical risk stratification for overall survival in adolescent and young adult women with breast cancer.

Journal of cancer research and clinical oncology
OBJECTIVE: The objective of this study is to construct a novel clinical risk stratification for overall survival (OS) prediction in adolescent and young adult (AYA) women with breast cancer.