Ksenia Belousova, Zilia Badrieva, Julia Pisareva, Nikita Babich, Dmitriy Agapov, Olga Pavlova, Ekaterina Brui, Waleed Alhaidri, "Deep Learning-Based Quantitative T1 Mapping of the Brain for a Digital MRI Phantom: preliminary study", 2025 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), pp. 276-279, 2025, [DOI: 10.1109/usbereit65494.2025.11054261] Валид Аль-Хайдри, Анатолий Левчук, Ксения Белоусова, Екатерина Бруй, "Deep Learning-Assisted 17-Segment Myocardial Scar Segmentation and Analysis", 2025 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), pp. 333-336, 2025, [DOI: 10.1109/usbereit65494.2025.11054222] Waleed Alhaidri, Aynur Akhatov, Indira Usmanova, Farkhad Salimov, Mohammed Al-Habeeb, Kamil A. Il’yasov, Ekaterina Brui, "Deep learning-assisted framework for automation of lumbar vertebral body segmentation, measurement, and deformity detection in MR images", Biomedical Signal Processing and Control, vol. 106, pp. 107770, 2025, [DOI: 10.1016/j.bspc.2025.107770] Waleed Alhaidri, Anatolii Levchuk, Nikita Zotov, Ksenia Belousova, Anton Ryzhkov, Maksim Lukin, Ekaterina Brui, "Quantitative analysis of myocardial fibrosis using a deep learning-based framework applied to the 17-Segment model", Biomedical Signal Processing and Control, vol. 105, pp. 107555, 2025, [DOI: 10.1016/j.bspc.2025.107555] [IF: 5.86, SJR: 0.77]Waleed Alhaidri, Anatolii Levchuk, Nikita Zotov, Anton Ryzhkov, Ekaterina Brui, "Deep-learning based localization of Myocardial Fibrosis in CMR images", 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), pp. 174-177, 2024, [DOI: 10.1109/usbereit61901.2024.10584045] Анатолий Левчук, Антон Рыжков, M.S. Baev, Валид Аль-Хайдри, Екатерина Бруй, "Автоматический и полуавтоматический метод сегментации постинфарктного кардиосклероза по данным магнитно-резонансной томографии с отсроченным контрастированием ", Biomedical Radioelectronics, vol. 27, pp. 13-27, 2024, [DOI: 10.18127/j15604136-202403-02] Nikita Vladimirov, Ekaterina Brui, Anatolii Levchuk, Waleed Alhaidri, "CNN‐based fully automatic wrist cartilage volume quantification in MR images: A comparative analysis between different CNN architectures", Magnetic Resonance in Medicine, 2023, [DOI: 10.1002/mrm.29671] [IF: 3.74, SJR: 1.50]Waleed Alhaidri, Igor Matveev, Mugahed A. Al-antari, Mikhail Zubkov, "A Deep Learning Framework for Cardiac MR Under-Sampled Image Reconstruction with a Hybrid Spatial and k-Space Loss Function", Diagnostics, vol. 13, pp. 1120, 2023, [DOI: 10.3390/diagnostics13061120] [IF: 3.71, SJR: 0.66]