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Alina S. Nechyporenko

Observed names: A. Nechyporenko, A. S. Nechiporenko, A. S. Nechyporenko, A.S. Nechyporenko, Alina Nechyporenko, Alina.S. Nechyporenko, Nechyporenko, Alina, Nechyporenko, Alina; https://orcid.org/0000-0002-4501-7426, Vitaliy Gargin
ORCID: 0000-0002-4501-7426
Observed ORCID: 0000-0002-4501-7426
OpenAlex ID: A5039905839
Deep learning in microbiome analysis: a comprehensive review of neural network models
2025 · Piotr Przymus, Krzysztof Rykaczewski, et al. · Frontiers in Microbiology · 96
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Ten simple rules on how to write a standard operating procedure
2020 · Susanne Hollmann, Marcus Frohme, et al. · PLoS Computational Biology · 62
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The new agreement of the international RIGA consensus conference on nasal airway function tests
2018 · K. Vogt, G. Bachmann-Harildstad, et al. · Rhinology Journal · 56
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Galvanic Skin Response and Photoplethysmography for Stress Recognition Using Machine Learning and Wearable Sensors
2024 · Alina Nechyporenko, Marcus Frohme, et al. · Applied Sciences · 43
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A toolbox of machine learning software to support microbiome analysis
2023 · Laura Judith Marcos-Zambrano, Víctor Manuel López-Molina, et al. · Frontiers in Microbiology · 43
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
2023 · Domenica D’Elia, Jaak Truu, et al. · Frontiers in Microbiology · 41
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Comparison of CNN-Based Architectures for Detection of Different Object Classes
2024 · Nataliya Bilous, Vladyslav Malko, et al. · AI · 40
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Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation
2023 · Victoria Alekseeva, Alina Nechyporenko, et al. · Electronics · 32
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Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV Data
2022 · Dmytro Chumachenko, Mykola Butkevych, et al. · Sensors · 27
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Examination of blood samples using deep learning and mobile microscopy
2022 · Juliane Pfeil, Alina Nechyporenko, et al. · BMC Bioinformatics · 24
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Intrusion Detection Model Based on Improved Transformer
2024 · Svitlana Gavrylenko, Vadym Poltoratskyi, et al. · Advanced Information Systems · 22
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Automated Measurement of Bone Thickness on SCT Sections and Other Images
2020 · Radiy Radutniy, Alina Nechyporenko, et al. · IEEE International Conference on Data Stream Mining & Processing (DSMP) · 16
Implementation and analysis of uncertainty of measurement results for lower walls of maxillary and frontal sinuses
2020 · Alina S. Nechyporenko, Viktor M. Reshetnik, et al. · IEEE International Conference on Electronics and Nanotechnology (ELNANO) · 16
Complex Automatic Determination of Morphological Parameters for Bone Tissue in Human Paranasal Sinuses
2021 · Alina.S. Nechyporenko, Radiy Radutny, et al. · The Open Bioinformatics Journal · 15
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The need for standardisation in life science research - an approach to excellence and trust.
2020 · Susanne Hollmann, Andreas Kremer, et al. · F1000Research · 15
Uncertainty of Measurement Results for Anatomical Structures of Paranasal Sinuses
2019 · Alina S. Nechyporenko, Sergey S. Krivenko, et al. · Mediterranean Conference on Embedded Computing (MECO) · 15
Deep Learning Based Image Segmentation for Detection of Odontogenic Maxillary Sinusitis
2022 · Alina Nechyporenko, Marcus Frohme, et al. · IEEE International Conference on Electronics and Nanotechnology (ELNANO) · 14
Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition
2023 · Juliane Pfeil, Julienne Siptroth, et al. · Big Data and Cognitive Computing · 13
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Assessment of Measurement Uncertainty of the Uncinated Process and Middle Nasal Concha in Spiral Computed Tomography Data
2019 · Alina Nechyporenko, Viktor Reshetnik, et al. · International Scientific-Practical Conference Problems of Infocommunications Science and Technology · 9
F-transform 3D Point Cloud Filtering Algorithm
2018 · Andriy Yerokhin, Valerii Semenets, et al. · IEEE International Conference on Data Stream Mining & Processing (DSMP) · 7
Rhinomanometric Signal Processing for Selection of Formalized Diagnostic Criterion in Rhinology
2015 · A. S. Nechiporenko · Telecommunications and Radio Engineering · 7
Application of spiral computed tomography for determination of the minimal bone density variability of the maxillary sinus walls in chronic odontogenic and rhinogenic sinusitis
2021 · A.S. Nechyporenko, R.S. Nazaryan, et al. · Український радіологічний та онкологічний журнал · 6
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Biometric Recognition of Personality based on Spiral Computed Tomography Data
2021 · Alina Nechyporenko, Victoriia Alekseeva, et al. · International Conference on Experience of Designing and Applications of CAD Systems in Microelectronics · 6
Usage of phase space diagram to finding significant features of rhinomanometric signals
2016 · Andriy Yerokhin, Oleksii Turuta, et al. · IEEE International Conference on Computer Sciences and Information Technologies (CSIT) · 6
A new intelligence-based approach for rhinomanometric data processing
2016 · Andriy Yerokhin, Alina Nechyporenko, et al. · IEEE International Conference on Electronics and Nanotechnology (ELNANO) · 6
Works count: 59
Citation count: 653
H-index: 15
I10-index: 18
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