Standout Papers

Clinical recommendations for cardiovascular magnetic resonance mapping... 2012 2026 2016 2021 1.0k
  1. Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI) (2016)
    Daniel Messroghli, James Moon et al. Journal of Cardiovascular Magnetic Resonance
  2. Myocardial T1 mapping and extracellular volume quantification: a Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement (2013)
    James Moon, Daniel Messroghli et al. Journal of Cardiovascular Magnetic Resonance
  3. T1-mapping in the heart: accuracy and precision (2014)
    Peter Kellman, Michael S. Hansen Journal of Cardiovascular Magnetic Resonance
  4. Extracellular volume imaging by magnetic resonance imaging provides insights into overt and sub-clinical myocardial pathology (2012)
    Martin Ugander, Abiola J Oki et al. European Heart Journal
  5. MultiContrast Delayed Enhancement (MCODE) improves detection of subendocardial myocardial infarction by late gadolinium enhancement cardiovascular magnetic resonance: a clinical validation study (2012)
    W. Patricia Bandettini, Peter Kellman et al. Journal of Cardiovascular Magnetic Resonance
  6. Association Between Extracellular Matrix Expansion Quantified by Cardiovascular Magnetic Resonance and Short-Term Mortality (2012)
    Timothy C. Wong, Kayla Piehler et al. Circulation
  7. Reverse Myocardial Remodeling Following Valve Replacement in Patients With Aortic Stenosis (2018)
    Thomas A. Treibel, Rebecca Kozor et al. Journal of the American College of Cardiology

Immediate Impact

1 by Nobel laureates 25 from Science/Nature 59 standout
Sub-graph 1 of 19

Citing Papers

The immunology of long COVID
2023 Standout
Blinded, randomized trial of sonographer versus AI cardiac function assessment
2023 StandoutNature
1 intermediate paper

Works of Peter Kellman being referenced

Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning
2020
The Prognostic Significance of Quantitative Myocardial Perfusion: An Artificial Intelligence Based Approach Using Perfusion Mapping
2020
and 1 more

Author Peers

Author Last Decade Papers Cites
Peter Kellman 12938 9538 1474 1873 358 18.1k
Matthew D. Robson 9784 7643 905 1191 238 16.4k
Andrew E. Arai 10351 8873 683 1508 298 16.2k
Matthias G. Friedrich 10016 13061 432 1033 348 18.3k
Eike Nagel 13976 12127 746 756 423 20.6k
Michael Jerosch‐Herold 7747 8562 386 899 295 13.8k
Warren J. Manning 14088 16692 2022 1191 477 27.7k
Sven Plein 10481 9832 589 609 482 15.7k
Christopher M. Kramer 9743 12450 372 1197 358 18.9k
Jeanette Schulz‐Menger 8223 11390 493 794 279 15.4k
Raymond J. Kim 13529 13324 411 682 189 19.1k

All Works

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2026