Usage of F-transform to finding informative parameters of rhinomanometric signals. - Andriy Yerokhin; Alina S. Nechyporenko; Andrii Babii; Oleksii Turuta (CSIT, 2015)

Usage of phase space diagram to finding significant features of rhinomanometric signals. - Andriy Yerokhin; Oleksii Turuta; Andrii Babii; Alina S. Nechyporenko; Ihor Mahdalina (CSIT, 2016)

Processing and analysis of rhinomanometric signals by F-transform approximation. - Andriy Yerokhin; Alina S. Nechyporenko; Andrii Babii; Oleksii Turuta (DSMP, 2016)

Intelligent information system of heterogeneous medical data analysis. - Andriy Yerokhin; Oleksii Turuta; Andrii Babii; Alina S. Nechyporenko (CSIT (1), 2017)

F-transform 3D Point Cloud Filtering Algorithm. - Andriy Yerokhin; Valerii Semenets; Alina S. Nechyporenko; Oleksii Turuta; Andrii Babii (DSMP, 2018)

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 (MECO, 2019)

Automated Measurement of Bone Thickness on SCT Sections and Other Images. - Radiy Radutny; Alina S. Nechyporenko; Victoriia Alekseeva; Ganna Titova; Dmytro Bibik; Vitaliy Gargin (DSMP, 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 (IDDM, 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; et al. (F1000Research, 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)

Complex Automatic Evaluation of the Medical Images of the Paranasal Sinuses. - Radiy Radutny; Alina S. Nechyporenko; Victoriia Alekseeva; Nadiia Yurevych; Andrii Lupyr; Vitaliy Gargin (IDDM, 2021)

Impact of Russian War on COVID-19 Dynamics in Germany: the Simulation Study by Statistical Machine Learning. - Dmytro Chumachenko; Alina S. Nechyporenko; Marcus Frohme (IDDM, 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 (IDDM, 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)

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)

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 (IDDM, 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 (IDDM, 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 (ProfIT AI, 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 (ProfIT AI, 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., 2023)

Detection of Stress Using Photoplethysmography. - Yaroslav Strelchuk; Alina S. Nechyporenko; Marcus Frohme; Vitaliy Gargin; Andrii Lupyr; Victoriia Alekseeva (IDDM, 2024)

Evaluation of Bone Radiodensity in Smokers. - Alina S. Nechyporenko; Viktor Reshetnik; Marcus Frohme; Victoriia Alekseeva; Andrii Lupyr; Vitaliy Gargin (ProfIT AI, 2024)

Uncertainty Estimation Method for Determining Bone Density in Patients with Infiltrating Intraductal Carcinoma Undergoing Anti-Cancer Therapy. - Viktor Reshetnik; Irina Muryzina; Marcus Frohme; Victoriia Alekseeva; Alla Dzyza; Alina S. Nechyporenko (ProfIT AI, 2024)