Kalina Polet Slavkova, Ph.D.


Physicist | Computational Oncology + Deep Learning for MRI | Exploring the Intersection of Physics, Biology, & AI

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


Journal article


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


Cite

Cite

APA
Virostko, J., Sorace, A. G., Slavkova, K. P., Kazerouni, A. S., Jarrett, A. M., DiCarlo, J. C., … Yankeelov, T. E. (2021). Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting. Breast Cancer Research, 23, 110.

Chicago/Turabian
Virostko, John, Anna G. Sorace, Kalina P. Slavkova, Anum S. Kazerouni, Angela M. Jarrett, Julie C. DiCarlo, Stefanie Woodard, et al. “Quantitative Multiparametric MRI Predicts Response to Neoadjuvant Therapy in the Community Setting.” Breast Cancer Research 23 (2021): 110.

MLA
Virostko, John, et al. “Quantitative Multiparametric MRI Predicts Response to Neoadjuvant Therapy in the Community Setting.” Breast Cancer Research, vol. 23, 2021, p. 110.


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