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Hybrid mathematical modeling decodes the complexity of sphingolipid pathway to predict chemosensitivity.

, , , , and . IWOBI, page 1-6. IEEE, (2017)

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Design and Evaluation of a Personalized Cancer Treatment System Using Human-Computer Interaction Techniques., , , , , , , , and . WorldCIST (1), volume 444 of Advances in Intelligent Systems and Computing, page 717-727. Springer, (2016)A hybrid mathematical modeling approach of the metabolic fate of a fluorescent sphingolipid analogue to predict cancer chemosensitivity., , , , , and . Comput. Biol. Medicine, (2018)Building a Personalized Cancer Treatment System., , , , , , , , and . J. Medical Syst., 41 (2): 28:1-28:10 (2017)Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images., , , , , , , , and . IWANN (1), volume 12861 of Lecture Notes in Computer Science, page 36-46. Springer, (2021)Hybrid mathematical modeling decodes the complexity of sphingolipid pathway to predict chemosensitivity., , , , and . IWOBI, page 1-6. IEEE, (2017)A Transcriptional Regulatory Network Model Reveals miR-34a as a Potential Regulator of Proliferation in Cancer Cell Lines., , , and . IWOBI, page 1-6. IEEE, (2018)Comparison of Four Automatic Classifiers for Cancer Cell Phenotypes Using M-Phase Features Extracted from Brightfield Microscopy Images., , and . CARLA, volume 1087 of Communications in Computer and Information Science, page 406-419. Springer, (2019)Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images., , , , , , , and . CoRR, (2021)A Comparison between a Relational Database, a Graph Database in the Context of a Personalized Cancer Treatment Application., , , , and . AMW, volume 1644 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)M-Phase Feature Extraction Algorithm for Phenotype Classification from Cancer Brightfield Microscopy., , and . IWOBI, page 1-8. IEEE, (2018)