Shoshana B. Ginsburg

Publications

Madabhushi, A., Ginsburg, S., & Lee, G. (2016). Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology. IEEE Transactions on Medical Imaging, 35 (1), 76 - 88.
Ginsburg, S., Taimen, P., Merisaari, H., Vainio, P., Boström, P., Aronen, H., Jambor, I., & Madabhushi, A. (2016). Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method: AIF-Free Pharmacokinetic Parameter Estimation. Journal of Magnetic Resonance Imaging [10531807], 44 (6), 1405-1414.
Ginsburg, S., Algohary, A., Pahwa, S., Gulani, V., Ponsky, L., Aronen, H., Boström, P., Böhm, M., Haynes, A., Brenner, P., Delprado, W., Thompson, J., Pulbrock, M., Taimen, P., Villani, R., Stricker, P., Rastinehad, A., Jambor, I., & Madabhushi, A. (2016). Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study: Radiomic Features for Prostate Cancer Detection on MRI. Journal of Magnetic Resonance Imaging [10531807].
Ginsburg, S., Viswanath, S. E., Bloch, B. E., Genega, E. E., Lenkinski, R. E., Rofsky, N. E., & Madabhushi, A. E. (2015). A Novel PCA-VIP Scheme for Ranking MRI Protocols and Identifying Computer Extracted MRI Measurements Associated with Central Gland and Peripheral Zone Prostate Tumors. Journal of Magnetic Resonance Imaging.