Kalina Polet Slavkova

Affiliations: 
University of Texas at Austin, Austin, Texas, U.S.A. 
Area:
Physics, biophysics, computational oncology
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"Kalina Slavkova"

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Thomas E. Yankeelov grad student 2018-2021 UT Austin
 (Student in department of Physics)
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Publications

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Slavkova KP, Kang R, Kazerouni AS, et al. (2025) MRI-based Radiomic Features for Risk Stratification of Ductal Carcinoma in Situ in a Multicenter Setting (ECOG-ACRIN E4112 Trial). Radiology. 315: e241628
Slavkova KP, Patel SH, Cacini Z, et al. (2023) Author Correction: Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma. Scientific Reports. 13: 8279
Slavkova KP, Patel SH, Cacini Z, et al. (2023) Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma. Scientific Reports. 13: 2916
Slavkova KP, DiCarlo JC, Wadhwa V, et al. (2022) An untrained deep learning method for reconstructing dynamic MR images from accelerated model-based data. Magnetic Resonance in Medicine
DiCarlo JC, Jarrett AM, Kazerouni AS, et al. (2022) Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast. Magnetic Resonance in Medicine
Wu C, Lorenzo G, Hormuth DA, et al. (2022) Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology. Biophysics Reviews. 3: 021304
Virostko J, Sorace AG, Slavkova KP, et al. (2021) Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting. Breast Cancer Research : Bcr. 23: 110
Slavkova KP, DiCarlo JC, Kazerouni AS, et al. (2021) Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer. Tomography (Ann Arbor, Mich.). 7: 253-267
Slavkova KP, DiCarlo JC, Syed AK, et al. (2020) Abstract P6-02-04: Investigating the feasibility of performing quantitative DCE-MRI in an abbreviated breast examination Cancer Research. 80
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