Journal of Cardiovascular Magnetic Resonance (Jan 2024)
Automatic Segmentation of Multi-center Multi-field-strength Perfusion CMR Datasets with Deep Learning-based Uncertainty-guided Analysis: Preliminary Findings Using the SCMR Registry
- 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
Affiliations
- Dilek M. Yalcinkaya, MSc
- Laboratory for Translational Imaging of Microcirculation, Indiana University School of Medicine
- Zhuoan Li, BEng
- Laboratory for Translational Imaging of Microcirculation, Indiana University School of Medicine
- Khalid Youssef, PhD
- Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, IN
- Luis Zamudio Rivero, MSc
- Laboratory for Translational Imaging of Microcirculation, Krannert Cardiovascular Research Center, Indiana University School of Medicine, Indianapolis, IN
- Venkateshwar Polsani, MD
- Piedmont Heart Institute
- Michael Elliott, MD
- Atrium Health
- Rohan Dharmakumar, PhD
- Indiana University
- Robert Judd, PhD
- Intelerad
- Dipan Shah, MD
- Weill Cornell Medical College, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
- Orlando Simonetti, PhD
- The Ohio State University
- Subha V Raman
- Indiana University Cardiovascular Institute and Krannert Cardiovascular Research Center, Indianapolis, Indiana, USA
- Behzad Sharif, PhD
- Indiana University School of Medicine
- Journal volume & issue
-
Vol. 26
p. 100964