Reducing the Contrast Dose by 80% in Quantitative Perfusion CMR Enabled by Patch-wise Deep Learning by Khalid Youssef, PhD, Luis Zamudio Rivero, MSc, Bobak Heydari, MD, Subha V Raman, Rohan Dharmakumar, PhD, Behzad Sharif, PhD

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Clinician-in-the-loop Analysis of FBee-breathing Stress Perfusion CMR Datasets with Dynamic Quality Control: Preliminary Evaluation Using the SCMR Registry by Dilek M. Yalcinkaya, MSc, Khalid Youssef, PhD, Zhuoan Li, BEng, Bobak Heydari, MD, Rohan Dharmakumar, PhD, Robert Judd, PhD, Orlando Simonetti, PhD, Subha V Raman, Behzad Sharif, PhD

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Automatic Segmentation of Multi-center Multi-field-strength Perfusion CMR Datasets with Deep Learning-based Uncertainty-guided Analysis: Preliminary Findings Using the SCMR Registr... by Dilek M. Yalcinkaya, MSc, Zhuoan Li, BEng, Khalid Youssef, PhD, Luis Zamudio Rivero, MSc, Venkateshwar Polsani, MD, Michael Elliott, MD, Rohan Dharmakumar, PhD, Robert Judd, PhD, Dipan Shah, MD, Orlando Simonetti, PhD, Subha V Raman, Behzad Sharif, PhD

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Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty–guided space-time analysis... by Dilek M. Yalcinkaya, MS, Khalid Youssef, PhD, Bobak Heydari, MD, Janet Wei, MD, C. Noel Bairey Merz, MD, Robert Judd, PhD, Rohan Dharmakumar, PhD, Orlando P. Simonetti, PhD, Jonathan W. Weinsaft, MD, Subha V. Raman, MD, Behzad Sharif, PhD

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