Deep Learning-Based Segmentation and Uncertainty Assessment for Automated Analysis of Myocardial Perfusion MRI Datasets Using Patch-Level Training and Advanced Data Augmentation. - Dilek Mirgun Yalcinkaya; Khalid Youssef; Bobby Heydari; Luis Zamudio; Rohan Dharmakumar; Behzad Sharif (EMBC, 2021)

Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets. - Dilek Mirgun Yalcinkaya; Khalid Youssef; Bobak Heydari; Orlando P. Simonetti; Rohan Dharmakumar; Subha Raman; Behzad Sharif (MICCAI (3), 2023)

Improved Robustness for Deep Learning-based Segmentation of Multi-Center Myocardial Perfusion MRI Datasets Using Data Adaptive Uncertainty-guided Space-time Analysis. - Dilek Mirgun Yalcinkaya; Khalid Youssef; Bobak Heydari; Janet Wei; Noel Bairey Merz; Robert Judd; Rohan Dharmakumar; Orlando P. Simonetti; Jonathan W. Weinsaft; Subha V. Raman; Behzad Sharif (CoRR, 2024)