Aleksandr Sinitca

According to our database, Aleksandr Sinitca authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease.

Mikhail Bogachev, Aleksandr Sinitca, Konstantin Grigarevichius, Nikita S. Pyko, Asya I. Lyanova, Margarita Tsygankova, Eldar Davletshin, Konstantin Petrov, Tatyana Ageeva, Svetlana A. Pyko, Dmitry I. Kaplun, Airat R. Kayumov, Yana Mukhamedshina

Frontiers Neuroinformatics, March, 2023

Understanding the complex interplay of persistent and antipersistent regimes in animal movement trajectories as a prominent characteristic of their behavioral pattern profiles: Towards an automated and robust model based quantification of anxiety test data.

Mikhail I. Bogachev, Asya I. Lyanova, Aleksandr M. Sinitca, Svetlana A. Pyko, Nikita S. Pyko, Alexander V. Kuzmenko, Sergey A. Romanov, Olga I. Brikova, Margarita Tsygankova, Dmitry Y. Ivkin, Sergey V. Okovityi, Veronika A. Prikhodko, Dmitrii I. Kaplun, Yuri I. Sysoev, Airat R. Kayumov

Biomed. Signal Process. Control., March, 2023

Using the fuzzy integrals for the ensemble-based segmentation of asphalt cracks.

Gleb Cyganov, Artem Rychenkov, Aleksandr Sinitca, Dmitry I. Kaplun

Ind. Artif. Intell., 2023

Segmentation of patchy areas in biomedical images based on local edge density estimation.

Aleksandr M. Sinitca, Airat R. Kayumov, Pavel V. Zelenikhin, Andrey G. Porfiriev, Dmitrii I. Kaplun, Mikhail I. Bogachev

Biomed. Signal Process. Control., 2023

BCAnalyzer: A Semi-automated Tool for the Rapid Quantification of Cell Monolayer from Microscopic Images in Scratch Assay.

Aleksandr Sinitca, Airat R. Kayumov, Pavel V. Zelenikhin, Andrey G. Porfiriev, Dmitrii I. Kaplun, Mikhail Bogachev

Proceedings of the Bioinformatics and Biomedical Engineering, 2023

A Machine Learning-Based Approach for Automatic Coronary Sinus Vein Segmentation and Anatomy Reconstruction.

Aleksandr Sinitca, Mikhail Chmelevsky, Stepan Zubarev, Aleksandr Shirshin, Arsenii Dokuchaev, Margarita Budanova, Chiara Arduino, Svyatoslav Khamzin, Anastasia Bazhutina, Sergei Rud, Werner Rainer

Proceedings of the Computing in Cardiology, 2023

An Automated Algorithm for Generating of AHA Model Based on 3D Heart Geometry.

Anastasia Bazhutina, Svyatoslav Khamzin, Mikhail Chmelevsky, Stepan Zubarev, Aleksandr Sinitca, Margarita Budanova, Werner Rainer

Proceedings of the Computing in Cardiology, 2023

2022

Efficient Probabilistic Filtering of Data Subject to Channel Noise Under Local Pooling Conditions.

Pavel Alekseevich Lyakhov, Diana I. Kalita, Aleksandr M. Sinitca, Alexander S. Voznesensky

Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

Combined Use of a Bilateral and Median Filter to Suppress Gaussian Noise in Images.

Valentina A. Baboshina, Anzor R. Orazaev, Evgeniy D. Shalugin, Aleksandr M. Sinitca

Proceedings of the 11th Mediterranean Conference on Embedded Computing, 2022

2021

Single Image Super-Resolution Method Based on Bilinear Interpolation and U-Net Combination.

Pavel Alekseevich Lyakhov, Georgii V. Valuev, Maria V. Valueva, Dmitry I. Kaplun, Aleksandr Sinitca

Proceedings of the 10th Mediterranean Conference on Embedded Computing, 2021

2020

Towards a Methodology for Data-Driven Automatic Analysis of Animal Behavioral Patterns.

Tom Menaker, Anna Zamansky, Dirk van der Linden, Dmitry I. Kaplun, Aleksandr Sinitica, Sabrina Karl, Ludwig Huber

Proceedings of the ACI'2020: Seventh International Conference on Animal-Computer Interaction, 2020

2019

Analysis of Dogs' Sleep Patterns Using Convolutional Neural Networks.

Anna Zamansky, Aleksandr Sinitca, Dmitry I. Kaplun, Michael Plazner, Ivana G. Schork, Robert J. Young, Cristiano S. de Azevedo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Automatic Estimation of Dog Age: The DogAge Dataset and Challenge.

Anna Zamansky, Aleksandr Sinitca, Dmitry I. Kaplun, Luisa M. L. Dutra, Robert J. Young

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Animal Health Informatics: Towards a Generic Framework for Automatic Behavior Analysis Position Paper.

Dmitrij Kaplun, Aleksandr Sinitca, Anna Zamansky, Stephane Bleuer-Elsner, Michael Plazner, Asaf Fux, Dirk van der Linden

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019