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Catalog Publications

Year 2024
  • Sport-related concussion alters cerebral hemodynamic activity during controlled respiration
    Publication
    • C. A. Ellingson
    • J. Singh
    • C. J. Ellingson
    • M. A. Shafiq
    • L. W. Sirant
    • K. D. Dorsch
    • M. Gruszecki
    • G. Kratzig
    • J. Neary

    - JOURNAL OF NEUROPHYSIOLOGY - Year 2024

    This study investigated cerebral hemodynamic activity following sport-related concussion. Prefrontal cortex oxygenation was assessed by near-infrared spectroscopy (NIRS) during a controlled breathing protocol. Wavelet transformation of the NIRS signals showed significant decreases in HbO2 and HbD amplitude at the respiratory frequency interval (0.10–0.6 HZ) from preseason baseline to acute concussion. These results suggest a decreased...

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  • Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
    Publication

    - Year 2024

    This paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...

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  • Monte-Carlo Modeling of Optical Sensors for Postoperative Free Flap Monitoring
    Publication

    - Year 2024

    This work aims to develop a numerical tissue model and implement software to simulate photon propagation using the Monte Carlo method to determine design guidelines for a physical measurement system. C++ was used for the simulation program, and Python as a programming environment to create an interface that allows the user to customize individual simulation elements, allowing for increased accuracy and flexibility when simulating...

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  • Monte-Carlo Modeling of Optical Sensors for Postoperative Free Flap Monitoring
    Publication

    This work aims to develop a numerical tissue model and implement software to simulate photon propagation using the Monte Carlo method to determine design guidelines for a physical measurement system. C++ was used for the simulation program, and Python as a programming environment to create an interface that allows the user to customize individual simulation elements, allowing for increased accuracy and flexibility when simulating...

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  • Impact of Visual Image Quality on Lymphocyte Detection Using YOLOv5 and RetinaNet Algorithms

    Lymphocytes, a type of leukocytes, play a vital role in the immune system. The precise quantification, spatial arrangement and phenotypic characterization of lymphocytes within haematological or histopathological images can serve as a diagnostic indicator of a particular lesion. Artificial neural networks, employed for the detection of lymphocytes, not only can provide support to the work of histopathologists but also enable better...

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  • Detection of People Swimming in Water Reservoirs with the Use of Multimodal Imaging and Machine Learning
    Publication

    - Year 2024

    Every year in many countries, there are fatal unintentional drownings in different water reservoirs like swimming pools, lakes, seas, or oceans. The existing threats of this type require creating a method that could automatically supervise such places to increase the safety of bathers. This work aimed to create methods and prototype solutions for detecting people bathing in water reservoirs using a multimodal imaging system and...

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  • 3D-Breast System for Determining the Volume of Tissue Needed for Breast Reconstruction

    3D imaging systems can be used to effectively determine breast volumes for surgical applications. This article presents methods for surface reconstruction and volume determination based on the point cloud created by 3D imaging. Such a system would be used to accurately estimate breast volume in patients classified for breast reconstruction surgery at plastic surgery centers. To develop such a system, various methods of determining...

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Year 2023
Year 2022
Year 2021
  • Using deep learning to increase accuracy of gaze controlled prosthetic arm
    Publication

    - Year 2021

    This paper presents how neural networks can be utilized to improve the accuracy of reach and grab functionality of hybrid prosthetic arm with eye tracing interface. The LSTM based Autoencoder was introduced to overcome the problem of lack of accuracy of the gaze tracking modality in this hybrid interface. The gaze based interaction strongly depends on the eye tracking hardware. In this paper it was presented how the overall the...

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  • THE ROLE OF INFERENCE IN MOBILE MEDICAL APPLICATION DESIGN
    Publication

    - Year 2021

    In the early 21st century, artificial intelligence began to be used to process medical information. However, before this happened, predictive models used in healthcare could only consider a limited number of variables, and only in properly structured and organised medical data. Today, advanced tools based on machine learning techniques - which, using artificial neural networks, can explore extremely complex relationships - and...

  • Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets
    Publication

    - Informatica - Year 2021

    This paper is devoted to the problem of class imbalance in machine learning, focusing on the intrusion detection of rare classes in computer networks. The problem of class imbalance occurs when one class heavily outnumbers examples from the other classes. In this paper, we are particularly interested in classifiers, as pattern recognition and anomaly detection could be solved as a classification problem. As still a major part of...

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  • Smart city and fire detection using thermal imaging

    In this paper, we summarize the results obtained from fire experiments. The aim of the work was to develop new methods of fire detection using IR thermal imaging cameras and dedicated image processing. We conducted 4 experiments in different configurations and with the use of different objects. The conducted experiments have shown the great usefulness of infrared cameras for detecting the seeds of a fire. Even cheap low-resolution...

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