Iterative Dose Reduction Algorithms
Iterative Dose Reduction Algorithms is a class of computational methods in medical imaging that iteratively refine image reconstruction by incorporating statistical models and system optics to minimize radiation dose while preserving diagnostic image quality, distinguishing it from conventional analytical reconstruction techniques through its feedback-driven, noise-optimized approach.
228
Publications
11.6K
Citations
1.2K
Authors
406
Institutions
Publications per year
2017–2026
66
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Charité - Universitätsmedizin Berlin
Berlin, Germany
10 h-index
47 publications
930 citations
Harvard University
Cambridge, United States
10 h-index
26 publications
2K citations

Kobe University
Kobe, Japan
9 h-index
37 publications
1.4K citations
Massachusetts General Hospital
Boston, United States
9 h-index
38 publications
4.7K citations
The University of Osaka
Osaka, Japan
8 h-index
21 publications
685 citations
Osaka Medical and Pharmaceutical University
Takatsuki, Japan
8 h-index
31 publications
793 citations
Toshiba (Japan)
Tokyo, Japan
8 h-index
12 publications
365 citations
University Medical Center Utrecht
Utrecht, The Netherlands
7 h-index
35 publications
1.3K citations
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EJR · 25 publications · 1K citations
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AJR · 19 publications · 2.2K citations
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18 publications · 1.5K citations
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14 publications · 806 citations
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11 publications · 395 citations
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