Alina S. Nechyporenko

According to our database, Alina S. Nechyporenko authored at least 20 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition.

Juliane Pfeil, Julienne Siptroth, Heike Pospisil, Marcus Frohme, Frank T. Hufert, Olga Moskalenko, Murad Yateem, Alina S. Nechyporenko

Big Data Cogn. Comput., March, 2023

Implementation of the Uncertainty Calculation for the Detection of Negative Effect of Smoking on the Bone Density of Paranasal Sinuses.

Viktor Reshetnik, Victoriia Alekseeva, Anastasiia Devos, Rosana Nazaryan, Vitaliy Gargin, Alina S. Nechyporenko

Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, 2023

Investigation of the Impact of Insulin Resistance on the Bone Density of the Upper Wall of the Maxillary Sinus.

Victoriia Alekseeva, Viktor Reshetnik, Marcus Frohme, Irina Kachailo, Irina Murizyna, Alina S. Nechyporenko

Proceedings of the 3rd International Workshop of IT-professionals on Artificial Intelligence, 2023

The Peculiarities of Measuring Bone Density in Males and Females Using Uncertainty Calculation.

Alina S. Nechyporenko, Viktor Reshetnik, Alla Dzyza, Victoriia Alekseeva, Andrii Lupyr, Vitaliy Gargin

Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, 2023

Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning.

Alina S. Nechyporenko, Marcus Frohme, Vladyslav Omelchenko, Victoriia Alekseeva, Andrii Lupyr, Vitaliy Gargin

Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, 2023

2022

Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data.

Dmytro Chumachenko, Mykola Butkevych, Daniel Lode, Marcus Frohme, Kurt J. G. Schmailzl, Alina S. Nechyporenko

Sensors, 2022

Examination of blood samples using deep learning and mobile microscopy.

Juliane Pfeil, Alina S. Nechyporenko, Marcus Frohme, Frank T. Hufert, Katja Schulze

BMC Bioinform., 2022

Automatic Creation of Masks for Marking Histological Images of the Epithelium of the Paranasal Sinuses.

Alina S. Nechyporenko, Yevhen Hubarenko, Maryna Hubarenko, Violeta Kalnytska, Victoriia Alekseeva, Vitaliy Gargin

Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18, 2022

Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning.

Dmytro Chumachenko, Alina S. Nechyporenko, Marcus Frohme

Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18, 2022

2021

Complex Automatic Evaluation of the Medical Images of the Paranasal Sinuses.

Radiy Radutny, Alina S. Nechyporenko, Victoriia Alekseeva, Nadiia Yurevych, Andrii Lupyr, Vitaliy Gargin

Proceedings of the 4th International Conference on Informatics & Data-Driven Medicine, Valencia, Spain, November 19, 2021

2020

Ten simple rules on how to write a standard operating procedure.

Susanne Hollmann, Marcus Frohme, Christoph Endrullat, Andreas Kremer, Domenica D'Elia, Babette Regierer, Alina S. Nechyporenko

PLoS Comput. Biol., 2020

The need for standardisation in life science research - an approach to excellence and trust.

Susanne Hollmann, Andreas Kremer, Spela Baebler, Christophe Trefois, Kristina Gruden, Witold R. Rudnicki, Weida Tong, Aleksandra Gruca, Erik Bongcam-Rudloff, Chris T. A. Evelo, Alina S. Nechyporenko, Marcus Frohme, David Safránek, Babette Regierer, Domenica D'Elia

F1000Research, 2020

Solutions to the 3D Model Problem of Pressure Measurement in the Area of Maxillary Sinus Anastomosis.

Alina S. Nechyporenko, Viktor Reshetnik, Denys Shyian, Victoriia Alekseeva, Radiy Radutny, Vitaliy Gargin

Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19, 2020

Automated Measurement of Bone Thickness on SCT Sections and Other Images.

Radiy Radutny, Alina S. Nechyporenko, Victoriia Alekseeva, Ganna Titova, Dmytro Bibik, Vitaliy Gargin

Proceedings of the IEEE Third International Conference on Data Stream Mining, Processing, 2020

2019

Uncertainty of Measurement Results for Anatomical Structures of Paranasal Sinuses.

Alina S. Nechyporenko, Sergey S. Krivenko, Victoriia Alekseeva, Andrii Lupyr, Nadiia Yurevych, R. S. Nazaryan, V. V. Gargin

Proceedings of the 8th Mediterranean Conference on Embedded Computing, 2019

2018

F-transform 3D Point Cloud Filtering Algorithm.

Andriy Yerokhin, Valerii Semenets, Alina S. Nechyporenko, Oleksii Turuta, Andrii Babii

Proceedings of the Second International Conference on Data Stream Mining & Processing, 2018

2017

Intelligent information system of heterogeneous medical data analysis.

Andriy Yerokhin, Oleksii Turuta, Andrii Babii, Alina S. Nechyporenko

Proceedings of the 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, Ukraine, September 5-8, 2017, 2017

2016

Processing and analysis of rhinomanometric signals by F-transform approximation.

Andriy Yerokhin, Alina S. Nechyporenko, Andrii Babii, Oleksii Turuta

Proceedings of the First International Conference on Data Stream Mining & Processing, 2016

Usage of phase space diagram to finding significant features of rhinomanometric signals.

Andriy Yerokhin, Oleksii Turuta, Andrii Babii, Alina S. Nechyporenko, Ihor Mahdalina

Proceedings of the XIth International Scientific and Technical Conference Computer Sciences and Information Technologies, 2016

2015

Usage of F-transform to finding informative parameters of rhinomanometric signals.

Andriy Yerokhin, Alina S. Nechyporenko, Andrii Babii, Oleksii Turuta

Proceedings of the Xth International Scientific and Technical Conference "Computer Sciences and Information Technologies", 2015