Kalina Polet Slavkova


Physicist | Computational Oncology and Deep Learning for MRI | Seeking Opportunities Intersecting Physics & Biology

Welcome to my personal website!


I am a PhD student in Physics at the University of Texas at Austin.

My research involves the implementation of deep learning techniques to accelerate the acquisition of dynamic images from magnetic resonance imaging (MRI) with a high spatio-temporal resolution for quantitative imaging.

Additionally, I analyze dynamic contrast-enhanced (DCE) MRI data from breast imaging using perfusion models to extract quantitative tissue information that may inform screening and mathematical modeling efforts.

I am formally advised by Thomas Yankeelov, Ph.D. in the Center for Computational Oncology and informally advised by Jonathan Tamir, Ph.D. in the Department of Electrical and Computer Engineering at UT Austin.

Please feel free to explore my research and other information across this website! I am more than happy to answer questions and have discussions

Publications


An untrained deep learning method for reconstructing dynamic magnetic resonance images from accelerated model-based data


Kalina P. Slavkova, Julie C. DiCarlo, Viraj Wadhwa, Chengyue Wu, John Virostko, Sidharth Kumar, Thomas E. Yankeelov, Jonathan I. Tamir


arXiv Preprint


Analysis of Simplicial Complexes to Determine When to Sample for Quantitative DCE-MRI of the Breast.


Julie C. DiCarlo, Angela M. Jarrett, Anum S. Kazerouni, John Virostko, Anna G. Sorace, Kalina P. Slavkova, Deborah Patt, Boone Goodgame, Stephanie Woodard, Sarah Avery, Thomas E. Yankeelov


Magnetic Resonance in Medicine (In review), ISMRM Workshop on Perfusion MRI, 2022 Feb


Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting


John Virostko, Anna G. Sorace, Kalina P. Slavkova, Anum S. Kazerouni, Angela M. Jarrett, Julie C. DiCarlo, Stefanie Woodard, Sarah Avery, Boone Goodgame, Debra Patt, Thomas E. Yankeelov


Breast Cancer Research, 2021, p. 110


Characterizing errors in perfusion model parameters derived from retrospectively abbreviated quantitative DCE-MRI data


Kalina P Slavkova, Julie C DiCarlo, Anum K Syed, Chengyue Wu, John Virostko, Anna G Sorace, Thomas E Yankeelov


Cancer Research, vol. 81(4), 2021


Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer


Kalina P. Slavkova, Julie C. DiCarlo, Anum S. Kazerouni, John Virostko, Anna G. Sorace, Debra Patt, Boone Goodgame, Thomas E. Yankeelov


Tomography, vol. 7(3), 2021, pp. 253-267


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About


I am a PhD student in Physics exploring the intersection of Physics and Biology.


Contact


Kalina Polet Slavkova


PhD Candidate in Physics


[email protected]

(512) 471-1153

Department of Physics


The University of Texas at Austin


2515 Speedway
C1600
Austin, TX 78712-1192