Data-driven Motion Correction
Data-Driven Motion Correction is a motion correction methodology that derives corrective parameters directly from the acquired data itself, without reliance on external tracking devices or prior models, by leveraging inherent statistical or structural patterns within the data to estimate and compensate for motion-induced distortions.
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Institutions
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2017–2026
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Adam Kesner, P.J. Schleyer, Florian Büther et al. · EJNMMI Physics · 2014 · 76 citations · Full text
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Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
224 citations

University of Lübeck
Lübeck, Germany
2 h-index
3 publications
64 citations
Yale University
New Haven, United States
2 h-index
18 publications
585 citations
Sorbonne Paris Cité
Paris, France
2 h-index
2 publications
32 citations

Westmead Hospital
Sydney, Australia
2 h-index
5 publications
327 citations

University of Colorado Denver
Denver, United States
2 h-index
3 publications
168 citations
Civil Aviation University of China
Tianjin, China
2 h-index
2 publications
86 citations
Délégation Paris 7
Bagnolet, France
2 h-index
2 publications
32 citations
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JNC · 3 publications · 55 citations
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3 publications · 109 citations
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2 publications · 42 citations
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2 publications · 105 citations
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2 publications · 125 citations
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