[HTML][HTML] Computer-aided diagnosis methods for high-frequency ultrasound data analysis: a review

J Czajkowska, M Borak - Sensors, 2022 - mdpi.com
Over the last few decades, computer-aided diagnosis systems have become a part of clinical
practice. They have the potential to assist clinicians in daily diagnostic tasks. The image …

[PDF][PDF] Sieci nski

RJ Doniec, NJ Piaseczna, KA Szymczyk… - Neural …, 2023 - academia.edu
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …

Sensor-based classification of primary and secondary car driver activities using convolutional neural networks

R Doniec, J Konior, S Sieciński, A Piet, MT Irshad… - Sensors, 2023 - mdpi.com
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …

[HTML][HTML] High-frequency ultrasound dataset for deep learning-based image quality assessment

J Czajkowska, J Juszczyk, L Piejko, M Glenc-Ambroży - Sensors, 2022 - mdpi.com
This study aims at high-frequency ultrasound image quality assessment for computer-aided
diagnosis of skin. In recent decades, high-frequency ultrasound imaging opened up new …

[HTML][HTML] Classification of roads and types of public roads using EOG smart glasses and an algorithm based on machine learning while driving a car

R Doniec, N Piaseczna, F Li, K Duraj, HH Pour… - Electronics, 2022 - mdpi.com
Driving a car is an activity that became necessary for exploration, even when living in the
present world. Research exploring the topic of safety on the roads has therefore become …

[HTML][HTML] The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques

RJ Doniec, N Piaseczna, K Duraj, S Sieciński… - Systems and Soft …, 2024 - Elsevier
The operation of a motor vehicle under the influence of alcohol poses a significant risk to the
safety of the driver, passengers, and other road users. Electrooculographic (EOG) signal …

[HTML][HTML] Recognition of drivers' activity based on 1D convolutional neural network

RJ Doniec, S Sieciński, KM Duraj, NJ Piaseczna… - Electronics, 2020 - mdpi.com
Background and objective: Driving a car is a complex activity which involves movements of
the whole body. Many studies on drivers' behavior are conducted to improve road traffic …

Multimodal signal analysis for pain recognition in physiotherapy using wavelet scattering transform

A Badura, A Masłowska, A Myśliwiec, E Piętka - Sensors, 2021 - mdpi.com
Fascial therapy is an effective, yet painful, procedure. Information about pain level is
essential for the physiotherapist to adjust the therapy course and avoid potential tissue …

Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment

P Ruusuvuori, M Valkonen, K Kartasalo, M Valkonen… - Heliyon, 2022 - cell.com
Histological changes in tissue are of primary importance in pathological research and
diagnosis. Automated histological analysis requires ability to computationally separate …

Evaluation of Intoxication Level with EOG Analysis and Machine Learning: A Study on Driving Simulator*

N Piaseczna, K Duraj, R Doniec… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Driving after consuming alcohol can be dangerous, as it negatively affects judgement,
reaction time, coordination, and decision-making abilities, increasing the risk of accidents …