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Pattern recognition and pharmacokinetic methods on DCE-MRI data for tumor hypoxia mapping in sarcoma.

, , , , , , , and . Multim. Tools Appl., 77 (8): 9417-9439 (2018)

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Scale-Space DCE-MRI Radiomics Analysis Based on Gabor Filters for Predicting Breast Cancer Therapy Response., , , , , , , and . BIBE, page 994-1001. IEEE, (2019)Heart Rate Classification Using ECG Signal Processing and Machine Learning Methods., , , , , , and . BIBE, page 1-6. IEEE, (2021)Correction to: Pattern recognition and pharmacokinetic methods on DCE-MRI data for tumor hypoxia mapping in sarcoma., , , , , , , and . Multim. Tools Appl., 77 (8): 9441-9442 (2018)Assessment of soft-tissue sarcomas perfusion using data-driven techniques., , , , , , , and . BHI, page 353-356. IEEE, (2018)A model-free approach for imaging tumor hypoxia from DCE-MRI data., , , , , and . CGI (Short Papers), page 105-108. ACM, (2016)Pattern recognition and pharmacokinetic methods on DCE-MRI data for tumor hypoxia mapping in sarcoma., , , , , , , and . Multim. Tools Appl., 77 (8): 9417-9439 (2018)Investigating the Role of Model-Based and Model-Free Imaging Biomarkers as Early Predictors of Neoadjuvant Breast Cancer Therapy Outcome., , , , , , , , and . IEEE J. Biomed. Health Informatics, 23 (5): 1834-1843 (2019)Incremental diagnostic information obtained via novel Dynamic Contrast Enhanced MRI framework applied on Multiple Sclerosis patients: A preliminary study., , , , , , , and . BHI, page 46-49. IEEE, (2018)