Сибирский федеральный университет

• Приказ о создании лаборатории глубокого обучения (.pdf, 360 КБ)
• Приказ о переименовании лаборатории (.pdf, 300 КБ)

Основные публикации сотрудников

• Hamad Y., Simonov K., Naeem M. B. Breast Cancer Detection and Classification Using Artificial Neural Networks // 2018 1st Annual International Conference on Information and Sciences (AiCIS). — IEEE, 2018. — С. 51-57. DOI: 10.1109/AiCIS.2018.00022
• Hamad Y. A., Simonov K. V., Naeem M. B. Detection of Brain Tumor in MRI Images, Using a Combination of Fuzzy C-Means and Thresholding //International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC). — 2019. — Т. 11. — №. 1. — С. 45-60. DOI: 10.4018/IJAPUC.2019010104.
• Zotin A., Hamad Y., Simonov K., Kurako M. Lung boundary detection for chest X-ray images classification based on GLCM and probabilistic neural networks //Procedia Computer Science. — 2019. — Т. 159. — С. 1439-1448. DOI: 10.1016/j.procs.2019.09.314
• Hamad Y. A., Simonov K., Naeem M. B. Brain's tumor edge detection on low contrast medical images //2018 1st Annual International Conference on Information and Sciences (AiCIS). — IEEE, 2018. — С. 45-50. DOI: 10.1109/AiCIS.2018.00021
• 5. Hamad Y. A., Simonov K., Naeem M. B. Lung Boundary Detection and Classification in Chest X-rays Images Based on Neural Network //International Conference on Applied Computing to Support Industry: Innovation and Technology. – Springer, Cham, 2019. – С. 3-16. DOI: 10.1007/978-3-030-38752-5_1
• Zotin A., Simonov K., Kurako M., Hamad Y. A., Kirillova S. Edge detection in MRI brain tumor images based on fuzzy C-means clustering //Procedia Computer Science. — 2018. — Т. 126. — С. 1261-1270. DOI: 10.1016/j.procS.2018.08.069
• Hamad Y., Mohammed O. K. J., Simonov K. Evaluating of Tissue Germination and Growth Rate of ROI on Implants of Electron Scanning Microscopy Images //Proceedings of the 9th International Conference on Information Systems and Technologies. — 2019. — С. 1–7. DOI: 10.1145/3361570.3361598
• Tolmacheva A.E. The use of convolutional neural networks to identify artifacts of cells micrographs in biomedical research/ Anton Yakimov, Andrey Morgun, Alla Salmina, Mikhail Dorrer, Anna Tolmacheva and Dmitry Ogurtsov // Journal of Physics: Conference Series, Volume 1399, Cybernetics and IT. DOI: 10.1088/1742-6596/1399/3/033089
• Tolmacheva A.E. Puck tracking system for aerohockey game with YOLO2 / A E Tolmacheva, D A Ogurcov and M G Dorrer//Journal of Physics: Conference Series, Volume 1399, Cybernetics and IT. DOI: 10.1088/1742-6596/1399/3/033116
• Tolmacheva A.E. Justification for choosing a single-board hardware computing platform for a neural network performing image processing/ A E Tolmacheva, D A Ogurtsov and M G Dorrer// IOP Conference Series: Materials Science and Engineering, Volume 734, 2020. DOI: 10.1088/1757-899X/734/1/012130
• Dmitriy S. Rusin Computer analysis and interpretation of geophysical data / Dmitriy S. Rusin, Natalia V. Molokova, Andrew G. Feldman, Natalia V. Nikolaeva // AMSA. — 2019 — № 1. — P. 574.
• Dmitriy S. Rusin Data analysis in studying the geological section / Andrew G. Feldman, Natalia V. Molokova, Dmitriy S. Rusin, Natalia V. Nikolaeva // AMSA. — 2019 — № 1. — P. 574.

• Носков Михаил Валерианович
  
  Профессор, д-р физ.-мат. наук,
  
  e-mail: MNoskov [at] sfu-kras [dot] ru
  
  организация:: Институт космических и информационных технологий СФУ
  
  адрес: ул. Киренского, 26Б, корпус № 17 (Ж), ауд. УЛК 2-13