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Тучинов Баир Николаевич

Observed names: B. N. Tuchinov, B. Tuchinov, B.N. Tuchinov, Bair N. Tuchinov, Bair Tuchinov, Tuchinov, Bair, Tuchinov, Bair N.
ORCID: 0000-0002-8931-9848
Observed ORCID: 0000-0002-8931-9848
OpenAlex ID: A5019003515
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
2025 · Maximilian Zenk, Ujjwal Baid, et al. · Nature Communications · 32
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Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation
2020 · Vladimir Groza, Bair Tuchinov, et al. · Lecture notes in computer science · 13
Multi-class Brain Tumor Segmentation via Multi-sequences MRI Mixture Data Preprocessing
2020 · Andrey Letyagin, Sergey Golushko, et al. · IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB) · 7
A Structured Review and Quantitative Profiling of Public Brain MRI Datasets for Foundation Model Development
2025 · Minh Sao Khue Luu, Margaret V. Benedichuk, et al. · Journal of Imaging · 6
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Glioblastoma MRI Dataset with Standardized Preprocessing, Expert-Validated Segmentation, and MGMT Profiling
2026 · Elena Filimonova, Augusto Leone, et al. · Scientific Data · 5
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Discovering predictive features of multiple sclerosis from clinically isolated syndrome with machine learning
2024 · Minh Sao Khue Luu, Bair N. Tuchinov, et al. · Artificial Intelligence in Health · 5
Application of a computer vision algorithm to identify foci of demyelination in multiple sclerosis on MRI images
2024 · B. N. Tuchinov, V. Suvorov, et al. · Сибирский научный медицинский журнал · 5
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Brain Tumor Segmentation and Associated Uncertainty Evaluation Using Multi-sequences MRI Mixture Data Preprocessing
2021 · Vladimir Groza, Bair Tuchinov, et al. · Lecture notes in computer science · 5
Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation
2020 · N. Tolstokulakov, E. Pavlovskiy, et al. · 5
Artificial Intelligence for Imaging Diagnostics in Neurosurgery
2019 · Andrey Yu. Letyagin, Sergey K. Golushko, et al. · International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) · 5
Specific features of designing a database for neuro-oncological 3D MRI images to be used in training artificial intelligence
2022 · E. V. Amelina, A. Yu. Letyagin, et al. · Сибирский научный медицинский журнал · 4
Using Few-Shot Learning Techniques for Named Entity Recognition and Relation Extraction
2020 · Ivan Bondarenko, Sergey Berezin, et al. · Science and Artificial Intelligence Conference (S.A.I.ence) · 4
Transfer Learning Approaches for Brain Metastases Screenings
2024 · Minh Sao Khue Luu, Bair N. Tuchinov, et al. · Biomedicines · 3
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Multi-Class Brain Tumor Segmentation via 3d and 2d Neural Networks
2022 · Sergey Pnev, Vladimir Groza, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 3
Harnessing Ensemble Machine Learning Models for Timely Diagnosis of Breast Cancer Metastasis: A Case Study on CatBoost, XGBoost, and LGBM
2024 · Minh Sao Khue Luu, Santanu Banerjee, et al. · International Siberian workshops and tutorials on electron devices and materials · 2
Brain Tumor Segmentation with Self-supervised Enhance Region Post-processing
2022 · Sergey Pnev, Vladimir Groza, et al. · Lecture notes in computer science · 2
An Explanation Method for Semantic Segmentation Enhance Brain Tumor Classification
2025 · Roman Kenzhin, Minh Sao Khue Luu, et al. · Lecture notes in computer science · 1
Real-world Multi-Institutional Glioblastoma MRI Dataset with Standardized Preprocessing, Expert-Validated Segmentation, and MGMT Promoter Profiling
2025 · Elena Filimonova, Augusto Leone, et al. · OpenNeuro · 1
Formation of Research Vision in Schoolchildren Using Digital Mediation Tools according to Cultural-Historical Psychology. Part 1
2024 · E.N. Pavlovsky, T.A. Sidorova, et al. · Cultural-Historical Psychology · 1
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Computer Vision and Explainable Approaches for Chest Tuberculosis Screenings
2024 · Margarita Benedichuk, Polina Bashkova, et al. · IEEE International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE) · 1
Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods
2023 · Andrey Letyagin, Evgeniya Amelina, et al. · IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB) · 1
3D Visualization of Brain Tumors via Artificial Intelligence
2021 · Andrey Letyagin, Evgeniya Amelina, et al. · IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB) · 1
Dataset-Specific Encoding of Image Content Underlies Cross-Dataset Failure in Brain MRI Foundation Models
2026 · Luu, Minh Sao Khue, Tuchinov, Bair N. · arXiv (Cornell University)
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Profiling a Brain MRI Pipeline for Multi-Agent System Design
2026 · Ekaterina I. Roppert, Bair N. Tuchinov, et al. · International Siberian workshops and tutorials on electron devices and materials
Component-Adaptive and Lesion-Level Supervision for Improved Small Structure Segmentation in Brain MRI
2026 · Luu, Minh Sao Khue, Pavlovskiy, Evgeniy N., et al. · arXiv (Cornell University)
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Works count: 40
Citation count: 112
H-index: 5
I10-index: 2
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