Klaudia Proniewska

Orcid: 0000-0002-8160-007X

According to our database1, Klaudia Proniewska authored at least 12 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Automatic Classification Normal ECGs Based on Normal PathECG and WaveECG Features.
Proceedings of the Computing in Cardiology, 2023

The Application of the Preoperative Image-Guided 3D Visualization Supported by Machine Learning to the Prediction of Organs Reconstruction During Pancreaticoduodenectomy via a Head-Mounted Displays.
Proceedings of the Extended Reality - International Conference, 2023

2022
A New Computer-Aided Solution for the Automatic Detection of Metal Stent Struts in Follow-up Evaluation in OCT Images.
Proceedings of the Computing in Cardiology, 2022

2021
Severity Grading and Early Retinopathy Lesion Detection through Hybrid Inception-ResNet Architecture.
Sensors, 2021

2020
Overview of the holographic-guided cardiovascular interventions and training - a perspective.
Bio Algorithms Med Syst., 2020

Three-Dimensional Operating Room with Unlimited Perspective.
Proceedings of the Multimedia Communications, Services and Security, 2020

2019
Using Lempel-Ziv complexity as effective classification tool of the sleep-related breathing disorders.
Comput. Methods Programs Biomed., 2019

2018
A holographic doctors' assistant on the example of a wireless heart rate monitor.
Bio Algorithms Med Syst., 2018

2017
Sleep-related breathing biomarkers as a predictor of vital functions.
Bio Algorithms Med Syst., 2017

2016
Data mining with Random Forests as a methodology for biomedical signal classification.
Bio Algorithms Med Syst., 2016

2014
Classification of Sleep Disordered Breathing in the Evaluation of Acoustic Sound in Correlation with the ECG Signal.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Computer-Assisted Quantitative Evaluation of Coronary Stent Platforms by Different Intracoronary Imaging Methods.
Proceedings of the Computing in Cardiology, 2013


  Loading...