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A quantitative histogram-based approach to predict treatment outcome for Soft Tissue Sarcomas using pre- and post-treatment MRIs.

, , , , , , and . SMC, page 4549-4554. IEEE, (2016)

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Using Fuzzy Information in Knowledge Guided Segmentation of Brain Tumors., , , and . Fuzzy Logic in Artificial Intelligence, volume 1188 of Lecture Notes in Computer Science, page 167-181. Springer, (1995)Parallel search using transformation-ordering Lterative-Deepening-A., , and . Int. J. Intell. Syst., 8 (8): 855-873 (1993)Learning Rules from Distributed Data., , , and . Large-Scale Parallel Data Mining, volume 1759 of Lecture Notes in Computer Science, page 211-220. Springer, (1999)Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop., , , , , and . CoRR, (2019)Noise-Based Feature Perturbation as a Selection Method for Microarray Data., , , and . ISBRA, volume 4463 of Lecture Notes in Computer Science, page 237-247. Springer, (2007)Experiments with large ensembles for segmentation and classification of cervical cancer biopsy images., , , , , , and . SMC, page 870-875. IEEE, (2014)Procedure for stability analysis of gene selection from cross-site gene expression data., , , and . SMC, page 909-913. IEEE, (2011)Experiments on the automated selection of patients for clinical trials., , , , , and . SMC, page 4541-4545. IEEE, (2003)Partially supervised clustering for image segmentation., , , and . Pattern Recognit., 29 (5): 859-871 (1996)Scaling Fuzzy Models., , , , , and . Scalable Fuzzy Algorithms for Data Management and Analysis, IGI Global, (2009)