Alina S. Nechyporenko

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Medical Imagery

Diabetes Mellitus

Significant Features

Statistical Machine Learning

Top Venues

Publications

Juliane Pfeil, Julienne Siptroth, Heike Pospisil, Marcus Frohme, Frank T. Hufert, Olga Moskalenko, Murad Yateem, Alina S. Nechyporenko
Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition. Big Data Cogn. Comput. 7 (1) (2023)
Alina S. Nechyporenko, Marcus Frohme, Vladyslav Omelchenko, Victoriia Alekseeva, Andrii Lupyr, Vitaliy Gargin
Identification of Personality Based on the Sphenoid Sinus Structure Using Machine Learning. IDDM (2023)
Viktor Reshetnik, Victoriia Alekseeva, Anastasiia Devos, Rosana Nazaryan, Vitaliy Gargin, Alina S. Nechyporenko
Implementation of the Uncertainty Calculation for the Detection of Negative Effect of Smoking on the Bone Density of Paranasal Sinuses. ProfIT AI (2023)
Victoriia Alekseeva, Viktor Reshetnik, Marcus Frohme, Irina Kachailo, Irina Murizyna, Alina S. Nechyporenko
Investigation of the Impact of Insulin Resistance on the Bone Density of the Upper Wall of the Maxillary Sinus. ProfIT AI (2023)
Alina S. Nechyporenko, Viktor Reshetnik, Alla Dzyza, Victoriia Alekseeva, Andrii Lupyr, Vitaliy Gargin
The Peculiarities of Measuring Bone Density in Males and Females Using Uncertainty Calculation. IDDM (2023)
Juliane Pfeil, Alina S. Nechyporenko, Marcus Frohme, Frank T. Hufert, Katja Schulze
Examination of blood samples using deep learning and mobile microscopy. BMC Bioinform. 23 (1) (2022)
Dmytro Chumachenko, Mykola Butkevych, Daniel Lode, Marcus Frohme, Kurt J. G. Schmailzl, Alina S. Nechyporenko
Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data. Sensors 22 (18) (2022)
Dmytro Chumachenko, Alina S. Nechyporenko, Marcus Frohme
Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning. IDDM (2022)
Alina S. Nechyporenko, Yevhen Hubarenko, Maryna Hubarenko, Violeta Kalnytska, Victoriia Alekseeva, Vitaliy Gargin
Automatic Creation of Masks for Marking Histological Images of the Epithelium of the Paranasal Sinuses. IDDM (2022)
Radiy Radutny, Alina S. Nechyporenko, Victoriia Alekseeva, Nadiia Yurevych, Andrii Lupyr, Vitaliy Gargin
Complex Automatic Evaluation of the Medical Images of the Paranasal Sinuses. IDDM (2021)
Susanne Hollmann, Marcus Frohme, Christoph Endrullat, Andreas Kremer, Domenica D'Elia, Babette Regierer, Alina S. Nechyporenko
Ten simple rules on how to write a standard operating procedure. PLoS Comput. Biol. 16 (9) (2020)
Alina S. Nechyporenko, Viktor Reshetnik, Denys Shyian, Victoriia Alekseeva, Radiy Radutny, Vitaliy Gargin
Solutions to the 3D Model Problem of Pressure Measurement in the Area of Maxillary Sinus Anastomosis. IDDM (2020)
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
The need for standardisation in life science research - an approach to excellence and trust. F1000Research 9 (2020)
Radiy Radutny, Alina S. Nechyporenko, Victoriia Alekseeva, Ganna Titova, Dmytro Bibik, Vitaliy Gargin
Automated Measurement of Bone Thickness on SCT Sections and Other Images. DSMP (2020)
Alina S. Nechyporenko, Sergey S. Krivenko, Victoriia Alekseeva, Andrii Lupyr, Nadiia Yurevych, R. S. Nazaryan, V. V. Gargin
Uncertainty of Measurement Results for Anatomical Structures of Paranasal Sinuses. MECO (2019)
Andriy Yerokhin, Valerii Semenets, Alina S. Nechyporenko, Oleksii Turuta, Andrii Babii
F-transform 3D Point Cloud Filtering Algorithm. DSMP (2018)
Andriy Yerokhin, Oleksii Turuta, Andrii Babii, Alina S. Nechyporenko
Intelligent information system of heterogeneous medical data analysis. CSIT (1) (2017)
Andriy Yerokhin, Alina S. Nechyporenko, Andrii Babii, Oleksii Turuta
Processing and analysis of rhinomanometric signals by F-transform approximation. DSMP (2016)
Andriy Yerokhin, Oleksii Turuta, Andrii Babii, Alina S. Nechyporenko, Ihor Mahdalina
Usage of phase space diagram to finding significant features of rhinomanometric signals. CSIT (2016)
Andriy Yerokhin, Alina S. Nechyporenko, Andrii Babii, Oleksii Turuta
Usage of F-transform to finding informative parameters of rhinomanometric signals. CSIT (2015)