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Dive into the research topics where Minho Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Finished
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Interpretable artificial intelligence for detection of psychiatric disorders based on multi-modal neuroimaging data
Lee, M., Fazli, S. & Viderman, D.
1/1/20 → 12/31/22
Project: FDCRGP
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Deep Learning Methods for Interpretation of Pulmonary CT and X-ray Images in Patients with COVID-19-Related Lung Involvement: A Systematic Review
Lee, M. H., Shomanov, A., Kudaibergenova, M. & Viderman, D., May 2023, In: Journal of Clinical Medicine. 12, 10, 3446.Research output: Contribution to journal › Review article › peer-review
Open Access1 Citation (Scopus) -
Artificial intelligence in ultrasound-guided regional anesthesia: A scoping review
Viderman, D., Dossov, M., Seitenov, S. & Lee, M. H., Oct 25 2022, In: Frontiers in Medicine. 9, 994805.Research output: Contribution to journal › Review article › peer-review
Open Access3 Citations (Scopus) -
CT Image Classification Based on Stacked Ensemble Of Convolutional Neural Networks
Shomanov, A., Kuchenchirekova, D., Kurenkov, A. & Lee, M., 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1021-1025 5 p. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; vol. 2022-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus) -
Denoising Autoencoder and Weight Initialization of CNN Model for ERP Classification
Kudaibergenova, M., Yazici, A., Lee, S. J. & Lee, M. H., 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2299-2304 6 p. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; vol. 2022-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Few-Shot Learning based on Residual Neural Networks for X-ray Image Classification
Abdrakhmanov, R., Viderman, D., Wong, K. S. & Lee, M., 2022, 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1817-1821 5 p. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; vol. 2022-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution