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Disambiguation of "Nikiforaki, Katerina"

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INN: Inflated Neural Networks for IPMN Diagnosis.

, , , , , , , and . MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 101-109. Springer, (2019)

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Katerina Laubner

Katerina Gehl

Katerina Sarbi

Katerina Apostolakidou

Katerina Taseva

 

Other publications of authors with the same name

Diffusion Modelling Tool (DMT) for the analysis of Diffusion Weighted Imaging (DWI) Magnetic Resonance Imaging (MRI) data., , , and . CGI (Short Papers), page 97-100. ACM, (2016)Assessment of soft-tissue sarcomas perfusion using data-driven techniques., , , , , , , and . BHI, page 353-356. IEEE, (2018)Visualizing tumor environment with perfusion and diffusion MRI: Computational challenges., , , , and . CGI (Short Papers), page 113-116. ACM, (2016)A model-free approach for imaging tumor hypoxia from DCE-MRI data., , , , , and . CGI (Short Papers), page 105-108. ACM, (2016)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)Investigating the Correlation of Ktrans With Semi-Quantitative MRI Parameters Towards More Robust and Reproducible Perfusion Imaging Biomarkers in Three Cancer Types., , , , and . IEEE J. Biomed. Health Informatics, 23 (5): 1855-1862 (2019)DCE-MRI radiomics features for predicting breast cancer neoadjuvant therapy response., , , , , , , , , and . IST, page 1-6. IEEE, (2018)Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation., , , , , , and . IEEE J. Biomed. Health Informatics, 23 (3): 923-930 (2019)INN: Inflated Neural Networks for IPMN Diagnosis., , , , , , , and . MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 101-109. Springer, (2019)Pattern recognition and pharmacokinetic methods on DCE-MRI data for tumor hypoxia mapping in sarcoma., , , , , , , and . Multim. Tools Appl., 77 (8): 9417-9439 (2018)