Підписатись
Alina Nechyporenko, Аліна Нечипоренко
Alina Nechyporenko, Аліна Нечипоренко
Professor, Kharkiv National University of Radio Electronics, TH Wildau
Підтверджена електронна адреса в nure.ua - Домашня сторінка
Назва
Посилання
Посилання
Рік
The new agreement of the international RIGA consensus conference on nasal airway function tests
K Vogt, G Bachmann-Harildstad, A Lintermann, A Nechyporenko, F Peters, ...
Rhinology 56 (2), 133-143, 2018
572018
Uncertainty of measurement results for anatomical structures of paranasal sinuses
AS Nechyporenko, SS Krivenko, V Alekseeva, A Lupyr, N Yurevych, ...
2019 8th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2019
282019
Ten simple rules on how to write a standard operating procedure
S Hollmann, M Frohme, C Endrullat, A Kremer, D D’Elia, B Regierer, ...
PLoS Computational Biology 16 (9), e1008095, 2020
272020
Relationship between bone density of paranasal sinuses and adrenal steroids pattern in women during menopausal transition
V Gargin, I Muryzina, N Shcherbina, A Nechyporenko, V Baryshevska, ...
Anthropological Review 83 (4), 407-418, 2020
212020
Automated measurement of bone thickness on SCT sections and other images
R Radutniy, A Nechyporenko, V Alekseeva, G Titova, D Bibik, VV Gargin
2020 IEEE Third International Conference on Data Stream Mining & Processing …, 2020
212020
Implementation and analysis of uncertainty of measurement results for lower walls of maxillary and frontal sinuses
AS Nechyporenko, VM Reshetnik, VV Alekseeva, NO Yurevych, ...
2020 IEEE 40th International Conference on Electronics and Nanotechnology …, 2020
202020
Anatomical prerequisites for the development of rhinosinusitis
AS Nechyporenko, VV Alekseeva, LV Sychova, VM Cheverda, ...
Lekársky obzor 6 (10), 334-338, 2020
192020
Usage of phase space diagram to finding significant features of rhinomanometric signals
A Yerokhin, O Turuta, A Babii, A Nechyporenko, I Mahdalina
2016 XIth International Scientific and Technical Conference Computer …, 2016
192016
Assessment of measurement uncertainty of the uncinated process and middle nasal concha in spiral computed tomography data
A Nechyporenko, V Reshetnik, V Alekseeva, N Yurevych, R Nazaryan, ...
2019 IEEE International Scientific-Practical Conference Problems of …, 2019
172019
A new intelligence-based approach for rhinomanometric data processing
A Yerokhin, A Nechyporenko, A Babii, O Turuta
2016 IEEE 36th International Conference on Electronics and Nanotechnology …, 2016
142016
F-transform 3D point cloud filtering algorithm
A Yerokhin, V Semenets, A Nechyporenko, O Turuta, A Babii
2018 IEEE Second International Conference on Data Stream Mining & Processing …, 2018
132018
A lars-based method of the construction of a fuzzy regression model for the selection of significant features
AL Yerokhin, AS Babii, AS Nechyporenko, OP Turuta
Cybernetics and Systems Analysis 52, 641-646, 2016
122016
Usage of F-transform to finding informative parameters of rhinomanometric signals
A Yerokhin, A Nechyporenko, A Babii, O Turuta
2015 Xth International Scientific and Technical Conference" Computer …, 2015
112015
Rhinomanometric signal processing for selection of formalized diagnostic criterion in rhinology
A Nechiporenko
Telecommunications and Radio Engineering, 1285-1294, 2015
112015
Authentication of users of mobile devices by their motor reactions
AS Nechiporenko, EV Gubarenko, MS Gubarenko
Telecommunications and Radio Engineering 78 (11), 2019
102019
Intelligent decision support system for differential diagnosis of chronic odontogenic rhinosinusitis based on U-net segmentation
V Alekseeva, A Nechyporenko, M Frohme, V Gargin, I Meniailov, ...
Electronics 12 (5), 1202, 2023
92023
Examination of blood samples using deep learning and mobile microscopy
J Pfeil, A Nechyporenko, M Frohme, FT Hufert, K Schulze
BMC bioinformatics 23 (1), 65, 2022
92022
Comparative characteristics of the anatomical structures of the ostiomeatal complex obtained by 3D modeling
A Nechyporenko, V Reshetnik, D Shyian, N Yurevych, V Alekseeva, ...
2020 IEEE International Conference on Problems of Infocommunications …, 2020
92020
The need for standardisation in life science research-an approach to excellence and trust.
S Hollmann, A Kremer, Š Baebler, C Trefois, K Gruden, WR Rudnicki, ...
F1000Research 9, 2020
82020
Machine learning methods in predicting patients with suspected myocardial infarction based on short-time HRV data
D Chumachenko, M Butkevych, D Lode, M Frohme, KJG Schmailzl, ...
Sensors 22 (18), 7033, 2022
72022
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