AIMC Topic: Algorithms

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Machine learning-assisted immune profiling stratifies peri-implantitis patients with unique microbial colonization and clinical outcomes.

Theranostics
The endemic of peri-implantitis affects over 25% of dental implants. Current treatment depends on empirical patient and site-based stratifications and lacks a consistent risk grading system. We investigated a unique cohort of peri-implantitis patie...

Composited FishNet: Fish Detection and Species Recognition From Low-Quality Underwater Videos.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
The automatic detection and identification of fish from underwater videos is of great significance for fishery resource assessment and ecological environment monitoring. However, due to the poor quality of underwater images and unconstrained fish mov...

NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis.

Artificial intelligence in medicine
During pandemics (e.g., COVID-19) physicians have to focus on diagnosing and treating patients, which often results in that only a limited amount of labeled CT images is available. Although recent semi-supervised learning algorithms may alleviate the...

FBSED based automatic diagnosis of COVID-19 using X-ray and CT images.

Computers in biology and medicine
This work introduces the Fourier-Bessel series expansion-based decomposition (FBSED) method, which is an implementation of the wavelet packet decomposition approach in the Fourier-Bessel series expansion domain. The proposed method has been used for ...

Using deep neural networks for kinematic analysis: Challenges and opportunities.

Journal of biomechanics
Kinematic analysis is often performed in a lab using optical cameras combined with reflective markers. With the advent of artificial intelligence techniques such as deep neural networks, it is now possible to perform such analyses without markers, ma...

Automated assessment of glomerulosclerosis and tubular atrophy using deep learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
In kidney transplantations, pathologists evaluate the architecture of both glomeruli, interstitium and tubules to assess the nephron status. An accurate assessment of glomerulosclerosis and tubular atrophy is crucial for determining kidney acceptance...

Pharm-AutoML: An open-source, end-to-end automated machine learning package for clinical outcome prediction.

CPT: pharmacometrics & systems pharmacology
Although there is increased interest in utilizing machine learning (ML) to support drug development, technical hurdles associated with complex algorithms have limited widespread adoption. In response, we have developed Pharm-AutoML, an open-source Py...

LBP-based information assisted intelligent system for COVID-19 identification.

Computers in biology and medicine
A real-time COVID-19 detection system is an utmost requirement of the present situation. This article presents a chest X-ray image-based automated COVID-19 detection system which can be employed with the RT-PCR test to improve the diagnosis rate. In ...

An Explainable Machine Learning Approach Based on Statistical Indexes and SVM for Stress Detection in Automobile Drivers Using Electromyographic Signals.

Sensors (Basel, Switzerland)
The economic and personal consequences that a car accident generates for society have been increasing in recent years. One of the causes that can generate a car accident is the stress level the driver has; consequently, the detection of stress events...

Multistability and associative memory of neural networks with Morita-like activation functions.

Neural networks : the official journal of the International Neural Network Society
This paper presents the multistability analysis and associative memory of neural networks (NNs) with Morita-like activation functions. In order to seek larger memory capacity, this paper proposes Morita-like activation functions. In a weakened condit...