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MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features., , , , , и . BMC Medical Imaging, 19 (1): 86:1-86:7 (2019)Identification of O3 Sensitivity to Secondary HCHO and NO2 Measured by MAX-DOAS in Four Cities in China., , , , , , , , , и 1 other автор(ы). Remote. Sens., 16 (4): 662 (февраля 2024)Clustering of MRI Radiomics Features for Glioblastoma Multiforme: An Initial Study., , , , , , и . MIAR, том 9805 из Lecture Notes in Computer Science, стр. 311-319. Springer, (2016)Automatic Extraction of MRI Radiomics Features in Glioblastoma Multiforme: A Reproducibility Evaluation., , , , и . CYBCONF, стр. 1-4. IEEE, (2017)Semi-supervised Concept Preserving Hashing for Image Retrieval in Non-stationary Data Environment., , , , и . MVRMLM@ICMR, стр. 14-19. ACM, (2024)Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China., , , , , , , , , и 1 other автор(ы). Remote. Sens., 12 (19): 3193 (2020)Unsupervised Multi-Hashing for Image Retrieval in Non-stationary Environments., , , , , , , и . ICACI, стр. 1-6. IEEE, (2023)Hashing-based Undersampling for Large Scale Histopathology Image Classification., , , , , , , , , и 1 other автор(ы). ICCI*CC, стр. 221-228. IEEE, (2022)Self-Supervised Temporal Sensitive Hashing for Video Retrieval., , и . IEEE Trans. Multim., (2024)