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Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status.
Sudre CH, Panovska-Griffiths J, Sanverdi E, Brandner S, Katsaros VK, Stranjalis G, Pizzini FB, Ghimenton C, Surlan-Popovic K, Avsenik J, Spampinato MV, Nigro M, Chatterjee AR, Attye A, Grand S, Krainik A, Anzalone N, Conte GM, Romeo V, Ugga L, Elefante A, Ciceri EF, Guadagno E, Kapsalaki E, Roettger D, Gonzalez J, Boutelier T, Cardoso MJ, Bisdas S. Sudre CH, et al. Among authors: boutelier t. BMC Med Inform Decis Mak. 2020 Jul 6;20(1):149. doi: 10.1186/s12911-020-01163-5. BMC Med Inform Decis Mak. 2020. PMID: 32631306 Free PMC article.
Computed Tomography Perfusion Measurements in Renal Lesions Obtained by Bayesian Estimation, Advanced Singular-Value Decomposition Deconvolution, Maximum Slope, and Patlak Models: Intermodel Agreement and Diagnostic Accuracy of Tumor Classification.
Deniffel D, Boutelier T, Labani A, Ohana M, Pfeiffer D, Roy C. Deniffel D, et al. Among authors: boutelier t. Invest Radiol. 2018 Aug;53(8):477-485. doi: 10.1097/RLI.0000000000000477. Invest Radiol. 2018. PMID: 29762256
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