Добренко Д.А., Голубев А.А., Гусарова Н.Ф., Зубаненко А.А., Исмаил Н., Полевая Т.А., Ватьян А.С. DEEP LEARNING-ENHANCED CONTOUR INTERPOLATION TECHNIQUES FOR 3D CAROTID VESSEL WALL SEGMENTATION. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2025. Т. 25. № 1. С. в печати.
Isakov A., Peregorodiev D., Brunko P., Tomilov I., Gusarova N., Vatian A. Cooperative-Competitive Decision-Making in Resource Management: A Reinforcement Learning Perspective. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2025. Vol. 15346. pp. 375-386.
Gritskikh M., Isakov A., Gusarova N., Dobrenko D., Tomilov I., Vatian A. Loss Function Role in Processing Sequences with Heavy-Tailed Distributions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2025. Vol. 15346. pp. 361-374.
Vatian A., Gusarova N., Tomilov I., Brunko P., Zubanenko A. Topological data analysis for selection of machine learning models in cerebral stroke detection with limited resources. IADIS International Journal on Computer Science and Information Systems. 2024. Vol. 19. No. 2. pp. 72-86.
Vdovkina S., Derevitskii I., Abramyan L., Vatian A. Graph-Based Data Representation and Prediction in Medical Domain Tasks Using Graph Neural Networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2024. Vol. 14835. pp. 371–378.
Isakov A., Peregorodiev D., Tomilov I., Ye C., Gusarova N., Vatian A., Boukhanovsky A. Real-Time Scheduling with Independent Evaluators: Explainable Multi-Agent Approach. Technologies. 2024. Vol. 12. No. 12. pp. 259.
Xu C., Li J., Wang Y., Wang L., Wang Y., Zhang X., Liu W., Chen J., Vatian A., Gusarova N., Ye С., Zheng Z. SiMix: A domain generalization method for cross-site brain MRI harmonization via site mixing. NeuroImage. 2024. Vol. 299. pp. 120812.
Leontev S., Simakova M., Lukinov V., Pishchulov K., Derevitskii I., Abramyan L., Vatian A. Development of a VTE prediction model based on automatically selected features in glioma patients. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2024. Vol. 14835. pp. 387–395.
Vatian A., Gusarova N., Tomilov I., Shilonosov V., Valitova J., Sashin V., Bobrova M., Mashechkov S., Polevaya T., Zubanenko A. Topological data analysis for selection of machine learning models in cerebral stroke detection. Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2024, BigDaCI 2024; Connected Smart Cities 2024, CSC 2024; and e-Health 2024, EH 2024. 2024. pp. 141-149.
Golubev A.A., Ulizko M.V., Vatian A., Dobrenko D.A., Gusarova N., Чехуров Д.А., Сукачев П.П., Haythem Z. Using siamese neural networks to identify short-term changes in ECG in life-threatening cases. 3rd International Conference on Computers and Automation (CompAuto). 2024. pp. in press.
Leontev S., Simakova M., Lukinov V., Pishchulov K., Derevitskii I., Abramyan L., Vatian A. Development of a VTE Prediction Model Based on Automatically Selected Features in Glioma Patients. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2024. Vol. 14835. pp. 387–395.
Закоулов И.С., Ватьян А.С. Разработка плагина компилятора Kotlin для скрытия переменных в памяти JVM приложений. Современные технологии в теории и практике программирования: материалы научно-практической конференции студентов, аспирантов и молодых ученых (СПб, 26-27 апреля 2023 г.). 2023. С. 133-134.
Vitian A., Gusarova N., Tomilov I., Shalyto A. Adversarial Examples in Processing of High-Tech Imaging Using DNN. International Journal of Artificial Intelligence. 2023. Vol. 21. No. 1. pp. 27-54.
Proactive selection of machine learning models for small sample sizes in cerebral stroke detection based on PAC-learning theory
Shovkoplias G., Vitian A., Gusarova N., Tomilov I. Feature Ranking on Small Samples Based on Bayesian Inference. Journal of Artificial Intelligence Research. 2023. pp. in press.
Shovkoplias G., Vatian A., Gusarova N., Tomilov I., Lipina O., Bobrova M. Proactive selection of machine learning models for small sample sizes in cerebral stroke detection based on PAC-learning theory. Procedia Computer Science. 2023. Vol. 229. pp. 80-90.
Ватьян А.С., Гусарова Н.Ф., Добренко Д.А., Панкова К.С., Томилов И.В. Использование топологического анализа данных для построения байесовских нейронных сетей [Using topological data analysis for building Bayesan neural networks]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2023. Т. 23. № 6(148). С. 1187-1197.
Gusarova N., Tomilov I., Zmievski D., Shilonosov V., Polevaya T., Vatyan A. Explainable artificial intelligence in the diagnosis of cardiovascular diseases in small samples. Proceedings of the International Conferences on ICT, Society, and Human Beings 2023, ICT 2023; and e-Health 2023, EH 2023; Connected Smart Cities 2023, CSC 2023; and Big Data Analytics, Data Mining and Computational Intelligence 2023, BigDaCI 2023. 2023. pp. 175-182.
Ватьян А.С., Голубев А.А., Гусарова Н.Ф., Добренко Н.В., Зубаненко А.А., Кустова Е.С., Татаринова А.А., Томилов И.В., Шовкопляс Г.Ф. Интеллектуальная поддержка клинических решений при небольших выборках числа пациентов [Intelligent clinical decision support for small patient datasets]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2023. Т. 23. № 3(145). С. 595-607.
Системы искусственного интеллекта
Ватьян А.С., Гусарова Н.Ф., Добренко Н.В., Змиевский Д.А., Кабышев М.В., Полевая Т.А., Татаринова А., Томилов И.В. Автоматизированная оценка параметров электрокардиограмм в условиях пандемии COVID-19 [Automated evaluation of ECG parameters during the COVID-19 pandemic]. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2022. Т. 22. № 6(142). С. 1166-1177.
Строков Д.А., Казанцев Д.В. (науч. рук. Ватьян А.С.) Аспекты повышения надежности распознавания жестового языка с применением нейронных сетей в условиях малых выборок
Shovkoplias G., Strokov D., Kasantsev D., Vatian A., Asadulaev A., Tomilov I., Shalyto A.A., Gusarova N.F. Improving Sign Language Processing via Few-Shot Machine Learning. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2022. Vol. 22. No. 3(139). pp. 559-566.
Pchelkin A., Gusarova N., Dobrenko N., Vatyan A. Mobile Healthcare Service for Self-organization in Older Populations During a Pandemic. Communications in Computer and Information Science. 2021. Vol. 1395. pp. 379-390.
Тезисы доклада Распознавание жестов с использованием сигналов с мышц человека
Suzdaltseva M., Shamakhova A.S., Dobrenko N., Alekseeva O.V., Hammoud J., Gusarova N., Vatian A., Shalyto A.A. De-Identification of Medical Information for Forming Multimodal Datasets to Train Neural Networks. 7th International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2021. 2021. pp. 163-170.
Semiletov A., Vatian A., Krychkov M., Khanzhina N., Klochkov A., Zubanenko A., Soldatov R., Shalyto A., Gusarova N. Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12744. pp. 593-608.
Hammoud J., Vatian A., Dobrenko N., Vedernikov N., Shalyto A., Gusarova N. New Arabic Medical Dataset for Diseases Classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 13113. pp. 196-203.
Vitian A., Peredreev D., Rodiontsev K., Murzina A., Klevtsova E., Tatarinova A., Treshkur T., Shalyto A., Gusarova N. Helping paramedics in assessing a patient's condition based on ECG by means of mobile phone. 14th International Conference on ICT, Society, and Human Beings, ICT 2021, 18th International Conference on Web Based Communities and Social Media, WBC 2021 and 13th International Conference on e-Health, EH 2021 - Held at the 15th Multi-Conference on Computer Science and Information Systems, MCCSIS 2021. 2021. pp. 144-151.
Shovkoplias G., Tkachenko M., Asadulaev A., Alekseeva O., Dobrenko N., Kazantsev D., Vatian A., Shalyto A., Gusarova N. Support for communication with deaf and dumb patients via Few-Shot Machine Learning. 14th International Conference on ICT, Society, and Human Beings, ICT 2021, 18th International Conference on Web Based Communities and Social Media, WBC 2021 and 13th International Conference on e-Health, EH 2021 - Held at the 15th Multi-Conference on Computer Science and Information Systems, MCCSIS 2021. 2021. pp. 216-220.
Lobantsev A., Gusarova N., Vatian A., Капитонов А., Shalyto A. Comparative assessment of text-image fusion models for medical diagnostics [Cравнительная оценка моделей слияния текста и изображения для медицинской диагностики]. Информационно-управляющие системы [Informatsionno-Upravliaiushchie Sistemy]. 2020. No. 5(108). pp. 70-79.
Shovkoplias G., Smirnov I., Tkachenko M., Gusarova N., Vatian A., Shalyto A., Niyogi R. Verification of automata models for clinical decision support systems. Proceedings of the 12th IADIS International Conference e-Health 2020, EH 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. 2020. pp. 10-18.
Tkachenko M., Dobrenko N., Butorina D., Vatian A., Arazashvili A. Analysis of data quality on adverse drug reactions and of methods for its improvement. Proceedings of the 12th IADIS International Conference e-Health 2020, EH 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. 2020. pp. 89-97.
Shovkoplias G., Glekler E., Povyshev V., Hammoud J., Gusarova N., Vatian A., Shalyto A. Application of automaton model to support rehabilitation of motor skills of patients. Proceedings of the 12th IADIS International Conference e-Health 2020, EH 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. 2020. pp. 39-46.
Gusarova N.F., Klochkov A.P., Lobantcev A.A., Vatian A.S., Kabyshev M.V., Shalyto A.A., Tatarinova A., Treshkur T., Li M. Generative augmentation to improve lung nodules detection in resource-limited settings [Генеративная аугментация для улучшения обнаружения узелков в легких в условиях ограниченных ресурсов]. Информационно-управляющие системы [Informatsionno-Upravliaiushchie Sistemy]. 2020. No. 6(109). pp. 60-69.
Lobantsev A., Beresnev A., Tkachenko M., Alekseeva O., Gusarova N., Vatian A., Shalyto A. Creation of a Publicly Accessible Resource for Increasing the Volume of Freely Distributed Medical Datasets. Proceedings of the 13th IADIS International Conference ICT, Society and Human Beings 2020, ICT 2020 and Proceedings of the 6th IADIS International Conference Connected Smart Cities 2020, CSC 2020 and Proceedings of the 17th IADIS International Conference Web Based Communities and Social Media 2020, WBC 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. 2020. pp. 19-26.
Vatian A., Dudorov S., Dobrenko N., Mairovich A., Osipov M., Lobantsev A., Shalyto A., Gusarova N. Intellectualization of knowledge acquisition of academic texts as an answer to challenges of modern information society. Communications in Computer and Information Science. 2019. Vol. 947. pp. 138-153.
Vatian A., Dobrenko N., Andreev N., Nemerovskii A., Nevochhikova A., Gusarova N. Comparative Analysis of Approaches to Building Medical Dialog Systems in Russian. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11871. pp. 175-183.
Vatian A., Lobantsev A., Gorokhov N., Mirzayanov M., Korneev G., Gusarova N.F., Shalyto A.A. Data processing approaches for lung CT-image analysis under resource constraints. Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on E-health. 2019. pp. 19-26.
Vatian A., Dudorov S., Ivchenko A., Smirnov K., Chikshova E., Lobantsev A., Parfenov V., Shalyto A., Gusarova N. Design Patterns for Personalization of Healthcare Process. ACM International Conference Proceeding Series. 2019. Vol. F148261. pp. 83-88.
Vatian A., Gusarova N., Dobrenko N., Dudorov S., Nigmatullin N., Shalyto A., Lobantsev A. Impact of Adversarial Examples on the Efficiency of Interpretation and Use of Information from High-Tech Medical Images. Proceedings of the 24th Conference of Open Innovations Association FRUCT. 2019. pp. 472-278.
Vatian A.S., Tatarinova A., Osipov S., Egorov N., Boitsov V., Ryngach E., Treshkur T., Shalyto A., Gusarova N. Retrieving and Processing Information from Clinical Algorithm via Formal Concept Analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11871. pp. 166-174.
Администрирование в информационных системах
Vatian A., Ratnikova A., Gruntov A., Osipov S., Shalyto A.A., Gusarova N.F. Using associative links for storing personalized medical information. Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on E-health. 2019. pp. 211-215.
Аксенов Ю.В., Добренко Н.В., Ватьян А.С., Капустин Р.О., Осипов С.В., Маврин П.Ю., Гусарова Н.Ф., Шалыто А.А. Применение автоматного подхода для персонализированной поддержки клинических процессов в медицине [Automata approach for personalized support of clinical processes in healthcare]. Информационно-управляющие системы [Informatsionno-Upravliaiushchie Sistemy]. 2019. № 5(102). С. 64-75.
Vatian A., Gusarova N., Dobrenko N., Klochkov A., Nigmatullin N., Lobantsev A., Shalyto A. Fusing of Medical Images and Reports in Diagnostics of Brain Diseases. ACM International Conference Proceeding Series. 2019. pp. 102-108.
Vatian A., Gusarova N., Nigmatullin N., Dudorov S., Shalyto A., Korotaeva D. Specifics of Transfer Learning in Processing of MRI Brain Images Using Deep Neural Networks. Cambridge Scholars. 2019. pp. in press.
Boitsov V., Vatian A., Egorov N., Klochkov A., Lobantsev A., Markova E., Gusarova N., Shalyto A., Zubanenko A., Soldatov R., Niyogi R. Software Tools for Manual Segmentation of Tomography Images Supporting Radiologist’s Personal Context. Proceedings of the 25th Conference of Open Innovations Association FRUCT. 2019. pp. 64-76.
Vatyan A., Dobrenko N., Tkachenko M., Gusarova N., Shalyto A., Boytsov V., Egorov N., Treshkur T., Ryngach E., Tatarinova A., Niyogi R. Intelligent Support for Clinical Processes Based on Automaton Approach. Proceedings of the 25th Conference of Open Innovations Association FRUCT. 2019. pp. 361-372.
Проблемно-ориентированное проектирование при разработке медицинских систем
Vatian A., Dudorov S., Beresnev A., Vasilev A., Nigmatullin N., Vedernikov N., Stankevich A., Gusarova N., Shalyto A. Topic modeling of text content for monitoring the employee’s efficiency via his internet activity. Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2018, Theory and Practice in Modern Computing 2018 and Connected Smart Cities 2018, MCCSIS 2018. 2018. pp. 43-50.
Лобанцев А.А., Ватьян А.С., Гусарова Н.Ф., Добренко Н.В. Онтологическая система для хранения текущих результатов медицинской диагностики. Системный анализ и управление в биомедицинских системах. 2018. Т. 17. № 1. С. 106-113.
Vatian A., Shapovalova A., Dobrenko N., Vedernikov N., Nigmatullin N., Vasilev A., Stankevich A., Gusarova N. The Influence of Emoji on the Internet Text Perception. Communications in Computer and Information Science. 2018. Vol. 859. pp. 55-66.
Шаповалова А.И., Гусарова Н.Ф., Добренко Н.В., Ватьян А.С., Лобанцев А.А., Нигматуллин Н.Г., Васильев А.Т., Ведерников Н.В. Исследование роли эмоджи в онлайн-сообществе. Научно-технический вестник информационных технологий, механики и оптики [Scientific and Technical Journal of Information Technologies, Mechanics and Optics]. 2018. Т. 18. № 5(117). С. 878-886.
Vatian A., Dobrenko N., Makarenko A., Nigmatullin N., Vedernikov N., Vasilev A., Stankevich A., Gusarova N., Shalyto A. Adaptation of Algorithms for Medical Information Retrieval for Working on Russian-Language Text Content. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 11107. pp. 106-114.
Lobantsev A., Vatian A., Dobrenko N., Stankevich A., Kaznacheeva A.O., Parfenov V., Shalyto A., Gusarova N. Specifics Analysis of Medical Communities in Social Network Services. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. Vol. 11314. pp. 195-203.
Vatian A., Artemova G., Dobrenko N., Filatov A., Gusarova N. An ontology based system for storing the research results on medical diagnostics. Communications in Computer and Information Science. 2017. Vol. 745. pp. 365-373.
Vatian A., Dobrenko N., Korotaeva D., Chikshova E., Nigmatullin N., Vedernikov N., Vasilev A. Correlation of educational material ontology with the individual knowledge structure of students. Proceedings of the 21st Conference of Open Innovations Association FRUCT. 2017. pp. 519-524.
Артемова Г.О., Ватьян А.С., Гусарова Н.Ф., Добренко Н.В., Коротаева Д.М., Чикшова Е.А. Соотнесение онтологии учебного материала с индивидуальной структурой знаний обучаемых. Дистанционное и виртуальное обучение. 2017. № 6(114). С. 93-102.
Коротаева Д.М., Чикшова Е.А., Добренко Н.В., Ватьян А.С. Методика хранения и использования учебного контента в формате онтологии. Альманах научных работ молодых ученых Университета ИТМО. 2017. Т. 3. С. 108-111.
Artemova G., Gusarova N.F., Dobrenko N.V., Trofimov V., Vatian A. Analysis of the classification methods of cancer types by computer tomography images. Communications in Computer and Information Science. 2016. Vol. 674. pp. 526-531.
Ватьян А.С., Гусарова Н.Ф., Добренко Н.В. Онтологический подход к хранению содержания образования. Дистанционное и виртуальное обучение. 2016. № 9(111). С. 67-81.
Vitian A., Gusarova N., Artemova G., Dobrenko N. An Ontology Approach to Storing Educational Information. Proceedings of the International FRUCT Conference on Intelligence, Social Media and Web (ISMW FRUCT 2016) (Saint-Petersburg, 28 August-4 September 2016). 2016. pp. 7584772.
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург