Harnessing Ensemble Machine Learning Models for Timely Diagnosis of Breast Cancer Metastasis: A Case Study on CatBoost, XGBoost, and LGBM

Luu, M. S. K., Banerjee, S., Pavlovskiy, E. N. & Tuchinov, B. N., 2024, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 2320-2325 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

FRiS-censoring of reference sample in face recognition task by deep neural networks

Alyamkin, S. A., Nikolenko, N. A., Pavlovskiy, E. N. & Dyubanov, V. V., 18 Oct 2017, Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017. Institute of Electrical and Electronics Engineers Inc., p. 41-43 3 p. 8071961. (Proceedings - 2017 Siberian Symposium on Data Science and Engineering, SSDSE 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods

Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Amelin, M., Golushko, S. & Pavlovskiy, E., 2023, 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 112-117 6 p. (2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Development of water flood model for oil production enhancement

Tsvaki, J. J., Tailakov, D. O. & Pavlovskiy, E. N., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 46-49 4 p. 9303200. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Data Preprocessing via Multi-sequences MRI Mixture to Improve Brain Tumor Segmentation

Groza, V., Tuchinov, B., Pavlovskiy, E., Amelina, E., Amelin, M., Golushko, S. & Letyagin, A., 1 Jan 2020, Bioinformatics and Biomedical Engineering - 8th International Work-Conference, IWBBIO 2020, Proceedings. Rojas, I., Valenzuela, O., Rojas, F., Herrera, L. J. & Ortuño, F. (eds.). Springer Gabler, p. 695-704 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12108 LNBI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Data Preprocessing Via Compositions Multi-Channel MRI Images to Improve Brain Tumor Segmentation

Tolstokulakov, N., Pavlovskiy, E., Tuchinov, B., Amelina, E., Amelin, M., Letyagin, A., Golushko, S. & Groza, V., 1 Apr 2020, ISBI Workshops 2020 - International Symposium on Biomedical Imaging Workshops, Proceedings. Institute of Electrical and Electronics Engineers Inc., 4 p. 9153416. (ISBI Workshops 2020 - International Symposium on Biomedical Imaging Workshops, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Cascaded Training Pipeline for 3D Brain Tumor Segmentation

Luu, M. S. K. & Pavlovskiy, E., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 410-420 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12962 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Brain Tumor Segmentation with Self-supervised Enhance Region Post-processing

Pnev, S., Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., 2022, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 267-275 9 p. 24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Brain Tumor Segmentation and Associated Uncertainty Evaluation Using Multi-sequences MRI Mixture Data Preprocessing

Groza, V., Tuchinov, B., Amelina, E., Pavlovskiy, E., Tolstokulakov, N., Amelin, M., Golushko, S. & Letyagin, A., Mar 2021, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 6th International Workshop, BrainLes 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers. Crimi, A. & Bakas, S. (eds.). Springer, p. 148-157 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12659 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review