Standout Papers

Learning a variational network for reconstruction of accelerated MRI data 2017 2026 2020 2023 890
  1. Learning a variational network for reconstruction of accelerated MRI data (2017)
    Kerstin Hammernik, Erich Kobler et al. Magnetic Resonance in Medicine
  2. Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI (2023)
    Patricia M. Johnson, Dana J. Lin et al. Radiology

Immediate Impact

21 from Science/Nature 60 standout
Sub-graph 1 of 22

Citing Papers

Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence
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2 intermediate papers

Works of Michael P. Recht being referenced

Early-Stage Radiology Volume Effects and Considerations with the Coronavirus Disease 2019 (COVID-19) Pandemic: Adaptations, Risks, and Lessons Learned
2020
Learning a variational network for reconstruction of accelerated MRI data
2017 Standout

Author Peers

Author Last Decade Papers Cites
Michael P. Recht 3339 2587 1998 166 7.0k
Anne Cotten 5215 1766 1607 252 8.2k
Jan Fritz 2881 1991 863 277 5.8k
Luca Maria Sconfienza 4147 1583 729 344 7.8k
Thomas M. Link 4142 1708 3103 262 8.6k
John A. Carrino 6250 3080 2191 365 12.9k
Savvas Nicolaou 2245 2900 771 254 7.5k
Eric Y. Chang 2181 1989 1002 320 6.3k
Richard Kijowski 2528 1660 1679 117 5.0k
Daniel I. Rosenthal 1774 1163 2375 149 8.1k
Michael Bachmann Nielsen 2702 2452 592 328 7.9k

All Works

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2026