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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)

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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)DCE-MRI radiomics features for predicting breast cancer neoadjuvant therapy response., , , , , , , , , and . IST, page 1-6. IEEE, (2018)Exploitation of patient avatars towards stratified medicine through the development of in silico clinical trials approaches., , , , , , and . BIBE, page 1-4. IEEE Computer Society, (2013)Assessment of soft-tissue sarcomas perfusion using data-driven techniques., , , , , , , and . BHI, page 353-356. IEEE, (2018)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)T2* relaxometry tool for calibration and quantification of iron concentration based on multi echo MRI data., , , , , , and . IST, page 1-6. IEEE, (2022)Multi-level Analysis and Information Extraction Considerations for Validating 4D Models of Human Function., , , , , , , and . HCI (12), volume 4561 of Lecture Notes in Computer Science, page 703-709. Springer, (2007)Scale-Space DCE-MRI Radiomics Analysis Based on Gabor Filters for Predicting Breast Cancer Therapy Response., , , , , , , and . BIBE, page 994-1001. IEEE, (2019)Chronic Mild Traumatic Brain Injury: Aberrant Static and Dynamic Connectomic Features Identified Through Machine Learning Model Fusion., , , , , , , , , and 2 other author(s). Neuroinformatics, 21 (2): 427-442 (April 2023)