Welcome to my personal website!
I graduated with my Ph.D. in Physics in 2022 from the University of Texas at Austin, where I was 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. My dissertation work is titled "Toward advances in data acquisition and analysis for quantitative multi-contrast MRI," consisted of three topics.
Please feel free to explore my research and other information across this website! I am more than happy to answer questions and have discussions.
Kalina P. Slavkova, Julie C. DiCarlo, Viraj Wadhwa, Chengyue Wu, John Virostko, Sidharth Kumar, Thomas E. Yankeelov, Jonathan I. Tamir
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
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, vol. 23, 2021, p. 110
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
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
We compute perfusion parameters from retrospectively abbreviated quantitative DCE-MRI data.
I am a Postdoctoral Researcher at The University of Pennsylvania exploring the intersection of Physics, AI, and cancer imaging.
Kalina Polet Slavkova