Center for Computational Imaging and Personalized Diagnostics paper in Journal of Magnetic Resonance Imaging is in top 10% of downloaded papers

Ahmad Algohary, researcher in the Center for Computational Imaging and Personalized Diagnostics (CCIPD), co-wrote a paper with CCIPD colleagues and international collaborators about using MRI-based features to identify prostate cancer.

The paper was published in the Journal of Magnetic Resonance Imaging in 2018. It is now among the top 10% of most downloaded papers on the website. 

Algohary and his co-authors found that using MRI-based radiomic features could help in identifying disease in patients under active surveillance. 

Read their paper.